CN111291535A - Script processing method and device, electronic equipment and computer readable storage medium - Google Patents

Abstract

Embodiments of the present invention provide a script processing method, apparatus, electronic device, and computer-readable storage medium, which belong to the technical field of computers. In the method, the script to be processed is divided into multiple episodes according to the preset expression range of the episode number, the episode is divided into multiple scene texts according to the preset scene number expression range, and the scene information characters contained in the scene text are extracted. , determine the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the episode to which the scene text belongs, as the to-be-arranged information of the scene text, and the to-be-arranged information of the scene text and the body text in the scene text, Combine according to preset forms. Extracting a single scene text as the processing object can reduce the coupling degree within the script to a certain extent, thereby improving the extraction accuracy. The scene text is recombined according to the preset form, so that the internal form of the scene text is consistent, which is convenient for processing.

Description

Script processing method, apparatus, electronic device, and computer-readable storage medium

technical field

The present invention belongs to the field of computer technology, and in particular, relates to a script processing method, apparatus, electronic device and computer-readable storage medium.

Background technique

In application scenarios such as standardized management, filming overall management, and script intelligent evaluation, it often involves analyzing the information to be sorted out in the script. The information to be organized refers to the episode number, scene number, time, place, and scene information characters of characters. These scene information characters are often scattered in the script content. In the prior art, several fixed scene information format templates are often pre-defined, and the information to be sorted is directly extracted from the script by using the fixed format templates.

Due to the different writing habits of screenwriters, the writing structure of the text in each script is quite different. In this way, when the format of the script is greatly different from the format in the fixed-format template, the information to be sorted out extracted according to the fixed-format template will be lost. less accurate.

SUMMARY OF THE INVENTION

The present invention provides a script processing method, device, electronic device, and computer-readable storage medium, so as to solve the problem of low accuracy of extracted information to be organized.

In the first aspect of the implementation of the present invention, a script processing method is firstly provided, which is applied to an electronic device, and the method includes:

Determine the episode number included in the to-be-processed script and the position of the episode number according to a preset expression range of episode numbers, and divide the to-be-processed script according to the included episode number and the position of the episode number for multiple episodes;

For at least one of the episodes, the scene number included in the episode and the position of the scene number are determined according to the preset scene number expression range, and the scene number and the position of the scene number are determined according to the scene number and the position of the scene number. dividing the episode into the plurality of scene texts;

For at least one of the scene texts, extracting scene information characters contained in the scene texts;

Determine the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the drama to which the scene text belongs, as the information to be sorted out of the scene text;

The to-be-arranged information of the scene text and the body text in the scene text are combined according to a preset form to form a target script.

In a second aspect of the implementation of the present invention, a script processing apparatus is also provided, which is applied to electronic equipment, and the apparatus includes:

a first determination module, configured to determine the episode number included in the script to be processed and the position of the episode number according to the preset episode number expression range, and according to the included episode number and the position of the episode number dividing the to-be-processed script into a plurality of episodes;

The second determining module is configured to, for at least one of the episodes, determine the scene number included in the episode and the location of the scene number according to the preset scene number expression range, and determine the scene number and the location of the scene number according to the scene number and the scene number. The position of the scene number divides the episode into the plurality of scene texts;

an extraction module for extracting scene information characters contained in the scene text for at least one of the scene texts;

A third determining module, configured to determine the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the drama to which the scene text belongs, as the information to be sorted out of the scene text;

The combining module is configured to combine the to-be-arranged information of the scene text and the body text in the scene text according to a preset form to form a target script.

In yet another aspect of the implementation of the present invention, there is also provided a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, when the computer-readable storage medium runs on a computer, the computer executes any one of the above-mentioned scripts Approach.

In yet another aspect of the implementation of the present invention, there is also provided a computer program product containing instructions, which, when executed on a computer, cause the computer to execute any one of the above-mentioned script processing methods.

The script processing method provided by the embodiment of the present invention can determine the episode number and the position of the episode number contained in the script to be processed according to the preset expression range of the episode number, and classify the script to be processed according to the included episode number and the position of the episode number. Divide into multiple episodes, according to the preset scene number expression range, determine the scene number and the location of the scene number included in the episode, and divide the episode into multiple scene texts according to the scene number and the location of the scene number. At least one scene text, extract the scene information characters contained in the scene text, determine the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the episode to which the scene text belongs, as the information to be sorted out of the scene text, The to-be-arranged information of the scene text and the body text in the scene text are combined according to a preset form to form a target script. In the embodiment of the present invention, by first dividing the script to be processed into scene texts, and extracting a single scene text as the processing object, the coupling degree within the script can be reduced to a certain extent, and the interference of the script format on the extraction of scene information can be reduced. Improve extraction accuracy. At the same time, after the scene information is extracted, the scene text will be recombined according to the preset form, so that the internal form of each scene text in the script can be kept consistent, thereby facilitating subsequent processing of the script.

Description of drawings

In order to illustrate the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that are required in the description of the embodiments or the prior art.

1 is a flow chart of the steps of a script processing method provided by an embodiment of the present invention;

2-1 is a flowchart of steps of another script processing method provided by an embodiment of the present invention;

2-2 is a schematic diagram of a preprocessing provided by an embodiment of the present invention;

2-3 are schematic diagrams of a processing flow provided by an embodiment of the present invention;

2-4 are schematic diagrams of processing provided by an embodiment of the present invention;

2-5 are schematic diagrams of the composition of a scene text provided by an embodiment of the present invention;

3 is a block diagram of a script processing apparatus provided by an embodiment of the present invention;

FIG. 4 is a structural diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention.

FIG. 1 is a flowchart of steps of a script processing method provided by an embodiment of the present invention. The method can be applied to an electronic device. As shown in FIG. 1 , the method can include:

Step 101: Determine the episode number included in the to-be-processed script and the position of the episode number according to a preset expression range of episode numbers, and assign the to-be-processed episode number according to the included episode number and the position of the episode number. Process the script split into multiple episodes.

In this embodiment of the present invention, the preset set number expression range may be pre-acquired before this step is performed. The set number represents the set number of the various expressions that can be included in the range. Specifically, when acquiring the episode numbers of these representations, a large number of sample scripts may be acquired, wherein the sample scripts may be scripts crawled from the network. Then, the characters representing the episode number of the sample script are extracted, and then these characters representing the episode number are summarized according to the expression form, and then the episode numbers of various expression forms are obtained. Wherein, the expression form of the set number can be characters, numbers, English and roman symbols, and so on.

Further, in practical application scenarios, a script often includes multiple episodes, and each episode often includes different scenes, wherein each scene corresponds to a piece of scene text, and the scene text is used to describe the content of the scene. Each episode and scene text will have a corresponding number for easy identification. Therefore, in this step, the episode number and the position of the episode number included in the script to be processed may be determined based on the preset expression range of the episode number. Specifically, the episode number included in the preset episode number expression range can be matched with the content included in the script to be processed, then the matched character is determined as the episode number, and the position of the matched character is determined. The position for the set number. Further, it can be divided according to the identified episode number and position to obtain the episodes included in the script to be processed. Since a variety of episode numbers in different expressions are collected in advance, the method of using these preset episode numbers for matching in the embodiment of the present invention can avoid inaccurate writing habits due to different writing habits of script writers to a certain extent. Identify the issue of episode numbering, which in turn can improve the accuracy of episode division.

Step 102, for at least one of the episodes, according to the preset scene number expression range, determine the scene number and the location of the scene number included in the episode, and according to the scene number and the scene number. A location splits the episode into the plurality of scene texts.

In this embodiment of the present invention, the preset scene number expression range may be pre-acquired before this step is performed. The scene number can contain the scene numbers of various expressions in the expression range. Specifically, when obtaining the scene numbers of these expressions, a large number of sample scripts can be obtained, and then the characters representing the scene numbers of the sample scripts are extracted, and then these characters representing the scene numbers are summarized according to the expressions, and then various expressions are obtained. The scene number in the form. Wherein, the expression form of the scene number may be characters, numbers, English and roman symbols, and so on.

Further, when determining the scene numbers and positions contained in the drama based on the preset scene number expression range, the scene numbers contained in the preset scene number expression range can be matched with the content contained in the drama, and then The matched character is determined as the scene number, and the position of the matched character is determined as the position of the scene number. Further, the episode can be segmented according to the identified scene number and location, and then the scene text contained in the episode. Since a variety of scene numbers in different expression forms are collected in advance, the method of using these preset scene numbers for matching in the embodiment of the present invention can avoid inaccurately caused by different writing habits of script writers to a certain extent. Identifying the problem of scene numbering can improve the accuracy of scene text division.

Step 103: For at least one of the scene texts, extract scene information characters contained in the scene texts.

In this embodiment of the present invention, the scene information characters included in the scene text may be words, words, data, English characters, etc. used to represent scene information. By extracting the scene information characters contained in the scene text, the scene information contained in the scene text can be determined.

Step 104: Determine the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the episode to which the scene text belongs, as the information to be sorted out of the scene text.

For example, assuming that the scene information characters contained in the scene text are "raining, school operations, all teachers", the scene number of the scene text is 23, and the episode number of the episode to which the scene text belongs is 1, then "1, 23" can be used. , rain, school operations, all teachers" is determined as the information to be sorted out for the scene text.

Step 105 , combine the to-be-arranged information of the scene text and the body text in the scene text according to a preset form to form a target script.

In this embodiment of the present invention, the body text refers to the text in the scene text except the information to be sorted out. The preset format combination can be set according to actual needs. The preset form may be that the scene information is located in the first paragraph of the scene text, and the body text is located after the first paragraph. In this way, by recombining the scene texts according to the preset form, the internal forms of each scene text in the script can be kept consistent, thereby facilitating subsequent processing of the script.

To sum up, the script processing method provided by the embodiment of the present invention can determine the episode number and the position of the episode number included in the script to be processed according to the preset expression range of episode numbers, and determine the episode number and the position of the episode number included in the script to be processed, The location divides the script to be processed into multiple episodes, determines the scene number and the location of the scene number included in the episode according to the preset scene number expression range, and divides the episode into multiple episodes according to the scene number and the location of the scene number. a scene text, for at least one scene text, extract the scene information characters contained in the scene text, and determine the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the episode to which the scene text belongs, as the scene text. For the information to be arranged, the information to be arranged in the scene text and the body text in the scene text are combined according to a preset form to form a target script. In the embodiment of the present invention, by first dividing the script to be processed into scene texts, and extracting a single scene text as the processing object, the coupling degree within the script can be reduced to a certain extent, and the interference of the script format on the extraction of scene information can be reduced. Improve extraction accuracy. At the same time, after the scene information is extracted, the scene text will be recombined according to the preset form, so that the internal form of each scene text in the script can be kept consistent, thereby facilitating subsequent processing of the script.

Fig. 2-1 is a flowchart of steps of another script processing method provided by an embodiment of the present invention. The method can be applied to electronic devices. As shown in Fig. 2-1, the method can include:

Step 201: Perform a preprocessing operation on the script to be processed.

In this step, the preprocessing operation may be an operation for normalizing the script to be processed. Specifically, the preprocessing operation may include one or more of the following operations:

(1) Delete the interference information in the to-be-processed script.

The interference information may be set according to information that actually interferes with script processing. Exemplarily, the interference information may include at least one or more of: page number information, line code information, spaces at the start position and end position of each line, and tab characters. The page number information can be the page number of each page in the script to be processed, and the line code information can be the line number of each line in the script to be processed. These page number and line code information can be introduced when the text to be processed is a PDF file of. When deleting page number and line code information, you can pre-summarize all page number and line code formats introduced by PDF-type files, and then match the script to be processed based on the page numbers and line codes of these different formats. Since both page numbers and line numbers represent numbers, by deleting these information, it can avoid interference with the identification of episode numbers and scene numbers. Since the spaces and tabs at the beginning and end of each line will affect the recognition of text paragraphs, by deleting these useless characters, the processing of the script to be processed can be reduced to a certain extent, thereby improving the processing effect. Specifically, when deleting, the script to be processed may be traversed line by line to detect whether there is interference information in each line, and if interference information is detected, it is directly deleted. Of course, the interference information may also include other information, for example, some information that will be introduced under the word type.

(2) Convert the font in the script to be processed into a preset font.

The preset font may be preset, for example, the preset font may be simplified characters. In this way, by converting the traditional characters in the script to be processed into simplified characters, the problem of recognition errors caused by inconsistent fonts can be avoided. Specifically, the simplified character corresponding to each character in the script to be processed can be searched on the network, and then the simplified character can be used to replace the character, thereby realizing the conversion. Certainly, the conversion may also be implemented in other manners, which is not limited in this embodiment of the present invention.

(3) According to the preset symbol mapping relationship, the punctuation symbols in the script to be processed are converted into punctuation symbols corresponding to the punctuation symbols in the symbol mapping relationship.

In this operation, when establishing the preset symbol mapping relationship, the punctuation marks with the same actual function can be divided into the same category according to the actual functions played by the punctuation marks in the text, so as to obtain multiple categories. Then, for each category, select a punctuation mark with the highest frequency from the category as the representative punctuation mark of the category, and then establish the mapping relationship between all punctuation marks in the category and the representative punctuation mark, and then obtain the symbol Mapping relations. That is, the punctuation symbols corresponding to all the punctuation symbols in the category in the symbol mapping relationship are the representative punctuation symbols. Further, when this operation is performed, the punctuation mark corresponding to the punctuation mark in the script to be processed can be searched in the mapping relationship, and then the corresponding punctuation mark can be used to replace the original script to be processed in the script to be processed, and then complete. Punctuation map. In this way, by converting the punctuation marks, the punctuation marks with the same function can be expressed in the same way, so that the script to be processed is more standardized, and the interference to the subsequent processing can be reduced to a certain extent.

(4) According to a preset range of available punctuation marks, delete punctuation marks in the to-be-processed script that do not belong to the range of available punctuation marks.

In this operation, the range value of the available punctuation symbols may be set according to the actual situation. For example, the range value may be constructed by taking punctuation symbols that will not interfere with subsequent processing operations as members included in the range value. Specifically, when this operation is performed, the punctuation marks in the script to be processed may be compared one-to-one with the punctuation marks included in the available punctuation mark range value. If there is a punctuation mark that is the same as the punctuation mark in the available punctuation mark range value, keep the punctuation mark, if there is no punctuation mark with the same punctuation mark in the available punctuation mark range value, delete the punctuation mark. In this way, by selectively deleting some punctuation marks, the script to be processed can be made more standardized, thereby reducing the interference to subsequent processing to a certain extent. Of course, the preprocessing operation may also include other operations, for example, converting the full-width symbols in the script to be processed into half-width symbols, and deleting all characters in the script to be processed that are not within the specified range, where the non-specified range can be The part that does not need to be processed is predefined according to actual requirements to further improve the standardization, which is not limited in this embodiment of the present invention.

By way of example, Fig. 2-2 is a schematic diagram of a preprocessing provided by an embodiment of the present invention. As shown in Fig. 2-2, the preprocessing operation in link 2 can be performed for the script to be processed, and finally the preprocessed to-be-processed is obtained. script. Among them, the range value and regular expression read in link 1 may be used for preprocessing and subsequent steps. In this way, by reading in advance, processing efficiency can be improved to a certain extent. It should be noted that the figure only shows part of the read content, and in practical applications, the read content may also include other content.

Step 202: Determine the episode number included in the script to be processed and the position of the episode number according to a preset expression range of episode numbers, and assign the to-be-processed episode number according to the included episode number and the position of the episode number. Process the script split into multiple episodes.

Specifically, this step can be implemented through the following sub-steps (1) to (3):

Sub-step (1): According to the preset expression range of the episode number, a regular expression of the episode number is generated; the episode number regular expression is defined with the episode number included in the expression range of the episode number.

In this step, the set numbers of these different expressions included in the set number expression range can be used as parameters of the regular expression to generate a set of characters that describe the characteristics of the character string. This set of characters can represent a filtering logic, and then obtain Set numbering regular expression. Wherein, using the set numbers of these different expressions as the parameters of the regular expression can ensure that the generated set number regular expression defines the set numbers of many different expressions.

Sub-step (2): perform regular matching on the script to be processed by using the regular expression of the episode number, and determine the episode number of each episode included in the script to be processed and the position of the episode number.

The regular matching refers to an operation of matching and filtering the content of the script to be processed by using a regular expression. For example, each character in the script to be processed can be matched with the characters defined in the regular expression through a regular expression, and the matching characters can be filtered out through matching, and then each script contained in the script to be processed can be obtained. The set number and position of the set.

Sub-step (3): for any of the episode numbers, use the text between the position of the episode number and the position of the next episode number as the episode indicated by the episode number and divide it to obtain the to-be-processed episode. Multiple episodes included in the script.

Since each episode number often indicates the beginning of an episode, in this step, the text between the position of the episode number and the position of the next episode number can be determined first, and then these texts are regarded as an episode and divided , and then obtain multiple episodes included in the script to be processed. Wherein, the next episode number refers to the episode number located only after the episode number according to the writing order of the script to be processed. In the embodiment of the present invention, by first expressing the range according to the preset set number, a regular expression of the set number is generated, and the set number is determined and divided by the regular expression of the set number, because the regular expression of the set number can quickly complete the matching filtering and There are defined episode numbers with various expressions included in the expression range of the episode number, so the determination efficiency and accuracy of the episode number can be improved to a certain extent, and further the division efficiency of the episodes can be improved. It should be noted that when there is set supplementary information, the supplementary information may be extracted and performed diversity during processing to avoid omission. Wherein, the episode supplementary information refers to an episode added for the script to be processed subsequently.

Step 203: For at least one of the episodes, determine the scene number included in the episode and the location of the scene number according to the preset scene number expression range, and determine the scene number according to the scene number and the scene number. A location splits the episode into the plurality of scene texts.

Specifically, this step can be implemented by the following operations: generating a scene number regular expression according to the preset scene number expression range, where the scene number regular expression is defined with the scene number included in the scene number expression range, and then, using The scene number regular expression performs regular matching on the episode, and determines the scene number of each scene contained in the episode and the position of the scene number; for any scene number, the position of the scene number is compared with the scene number of the next scene. The text between the positions is used as the scene text represented by the scene number and is segmented to obtain a plurality of scene texts included in the play. For the specific implementation details of each operation, reference may be made to the relevant description in the foregoing step 202, which is not limited in this embodiment of the present invention. Further, in this embodiment of the present invention, the scene number regular expression is generated by first expressing the range of the preset scene number, and the scene number is determined and divided by the scene number regular expression, because the scene number regular expression can be quickly completed. Matching filtering and defining the scene numbers of different expressions included in the scene number expression range can improve the efficiency and accuracy of scene number determination to a certain extent, and further improve the efficiency of scene text division. At the same time, because the implementation of the present invention The episode number regular expression used in the example is generated by using a variety of different expressions for the episode number, and the scene number regular expression is generated using a variety of different expressions in the scene number. Therefore, when using the episode number regular expression When the expression and the scene number regular expression are matched, fuzzy matching can be achieved, that is, if one of the two conditions is satisfied, the two are determined to match. To a certain extent, it can expand the range of script formats that can be handled. It should be noted that when there is scene supplementary information, the supplementary information may be extracted and divided into scenes during processing to avoid omission. Wherein, the supplementary scene information refers to the scene text that is subsequently added to the script to be processed.

Further, since the text may start with a number, the determined scene number may be a number number used to represent a scene, or may just start with a number of the text. Correspondingly, in the embodiment of the present invention, after the segmentation of the scene text is completed, a secondary determination may be performed to ensure the correctness of the segmented scene text. The specific process of the secondary determination may be: determining the text length of the scene text, and determining whether the scene number of the scene text is continuous with the scene number of the adjacent scene text. Specifically, to determine the text length, the number of characters contained in the scene text may be counted, and then the number of contained characters may be determined as the text length. When determining whether the numbers are consecutive, it can be the absolute value of the difference between the scene number of the scene text and the scene number of the previous adjacent scene text, and the scene number of the scene text and the scene number of the next adjacent scene text. The absolute value of the difference. If the absolute value is equal to 1, it can be confirmed that the numbers are consecutive. Otherwise, the numbers can be considered discontinuous.

If the text length is less than a preset length threshold and the scene number of the scene text is not continuous with the scene numbers of the adjacent scene texts, the scene text is removed. The preset length threshold may be determined according to the minimum number of characters that the scene text representing a scene will contain. If the text length is less than the preset length threshold, it can be considered that the scene text may not be the real scene text. Further, if the scene number of the scene text is not continuous with the scene number of the adjacent scene text, the scene text can be further It is possible that the text is not the actual scene text. Therefore, when the text length is less than the preset length threshold and the numbers are discontinuous, it can be confirmed that the scene text is not the real scene text, and the scene text can be removed to ensure accuracy. Wherein, removing the scene text refers to removing the scene text from the divided scene texts. Specifically, the scene text may be divided into body text. In the embodiment of the present invention, by performing a secondary determination on the scene text after the scene text is divided, the accuracy of the scene text can be improved, and the subsequent processing effect of the scene text can be ensured.

In order to improve the accuracy of the secondary determination, the conditions that the scene text needs to meet can also be added. For example, it can be further determined whether the scene text contains scene information characters, and the scene text does not contain scene information characters and the text length is less than the preset length. When the length threshold is reached and the numbering is discontinuous, the scene text is removed. In this way, to a certain extent, the mistaken removal of the scene text can be avoided, and the accuracy of the secondary determination can be improved.

Correspondingly, in the embodiment of the present invention, a secondary determination of the episodes may also be performed, so as to improve the accuracy of the divided episodes. The specific process of the secondary determination may be: determining the text length of the episode, and determining whether the scene number of the episode is continuous with the scene number of an adjacent episode. If the text length is less than a preset length threshold and the episode number of the episode is not consecutive with the episode number of an adjacent episode, the episode is removed. Specifically, for the specific implementation process of each step, reference may be made to the foregoing related description, which is not limited in this embodiment of the present invention. In the embodiment of the present invention, by performing a secondary determination on the episodes after the episodes are divided, the accuracy of the episodes can be improved, thereby ensuring the subsequent processing effect of the episodes.

Step 204: For at least one of the scene texts, extract scene information characters contained in the scene texts.

Specifically, this step can be implemented through the following sub-steps (4) to (6):

Sub-step (4): According to the preset scene information prompt word range value, traverse the scene text to determine whether the scene information prompt word is included in the scene text.

In this step, the scene information prompt words refer to scene information characters used to indicate that the text content that appears subsequently is scene information. For example, when some scripts are written, they will use prompt words to prompt before the time, place, characters and other information. For example, suppose the content in script A is "1-23 The weather in this field: the place where the rain occurs: the school playground Characters: all the teachers", among which, "the weather in this field", "the place of occurrence" and "the characters in the field", It is the scene information prompt word. In this step, the preset scene information prompt word range value may include various prompt times, and the prompt words in these may be collected in advance. For example, a scene information prompt word can be extracted from a sample script or a commonly used scene information prompt word can be searched from the network as the preset scene information prompt word.

Further, when determining, each scene information prompt word included in the scene information prompt word range value may be compared with each word in the scene text. If the same words exist in the scene text, it can be determined that the scene text contains the scene information prompt words. If the same words do not exist in the scene text, it can be determined that the scene text does not contain the scene information prompt words. Text, can achieve comprehensive detection, thereby improving the accuracy of detection to a certain extent. It should be noted that when a script is written, explanatory information is often placed in front of the scene text, where the explanatory information is the text that reflects the scene information. Therefore, in this embodiment of the present invention, only the scene text may be traversed to determine whether the scene text contains the scene information prompt word. In this way, the amount of text that needs to be traversed can be reduced, saving processing resources.

Sub-step (5): if the scene text contains scene information prompt words, determine the characters adjacent to the scene information prompt words as scene information characters, and extract them.

Since the scene information prompt words are often adjacent to characters representing scene information, in this step, when it is determined that the scene text contains the scene information prompt words, the adjacent characters of the scene information prompt words can be directly extracted, and then Get scene info characters.

Sub-step (6): if the scene text does not contain scene information prompt words, divide the scene text into multiple sub-texts; according to the preset scene information character range value and/or the part of speech of the words in the sub-text , extracting scene information characters from the sub-text.

In this step, when sub-text is divided, the scene text may be equally divided into multiple sub-texts according to a fixed number of characters, wherein one sub-text is a candidate character string to be processed. Alternatively, when a specific symbol appears, a division operation can be performed to obtain multiple subtexts. The specific symbol may be a newline, a tab, a space, a comma, or the like, which is not limited in this embodiment of the present invention.

Further, the scene information character range value may be a set containing characters that will be used when representing scene information. The preset scene information character range value may be pre-extracted from a sample script or pre-collected from the network. The character range value of scene information may include commonly used characters representing time, character representing location, character representing weather, and character representing person's name, wherein these characters representing time, location, weather and person's name The characters can belong to their corresponding range values, and the characters contained in these range values constitute the character range value of the scene information, wherein the range value representing time and the range value representing location can store words that roughly represent time and Words that roughly represent places, and accordingly, scene information characters extracted based on these range values can be called roughly time words and roughly place words. Of course, they can also be mixed together to form the character range value of the scene information. Various range values, mapping relationships, sets, and regular expressions mentioned in the embodiments of the present invention may be read from a device in advance before being used. Further, the characters representing the person's name may be extracted from the dialogue part of the script to be processed according to a preset character dialogue format. The preset character dialogue format may be set in advance according to the characteristics of the character dialogue in the script. For example, character dialogues in a script often include the names of characters. Therefore, using the character dialogue format to extract the names of people from the dialogue part of the script to be processed can ensure the accuracy of the extracted names to a certain extent. Specifically, when extracting a person's name, you can first compare the content in the script to be processed according to the preset character dialogue format, and then determine the content whose format matches the preset character dialogue format as the content to be processed The dialogue part of the script. Then the words in the specific position of the dialogue part are extracted as the person's name. Wherein, the specific position may be before a punctuation symbol combination, and the punctuation symbol combination may be a colon and a double quotation mark.

Further, when the scene information characters are extracted from the sub-text according to the preset scene information character range value, the part-of-speech of the words contained in the sub-text may be determined first. Then, words whose part of speech is a preset part of speech and contains a specific character are determined as scene information characters, and are extracted. Specifically, when determining the part of speech, the sub-text can be divided into multiple words, and then the part of speech corresponding to each word is searched from the network. The preset part of speech and specific words can be set according to the actual situation. For example, the preset part of speech may be a noun, and the specific word may be a word representing a place feature, such as a hall, a building, a road, a house, etc., and a character feature word, such as 人, several, etc. In this way, according to the part of speech and the way of extracting specific words, only some single words need to be collected in advance as the realization basis, and the realization cost is low.

Further, according to the preset scene information character range value, when the scene information characters are extracted from the sub-text, the sub-text can be traversed according to the preset scene information character range value first, to determine whether the sub-text contains the characters that exist in the sub-text. The character of the set scene information character range value, and then, if it is included, the character is determined as the scene information character, and is extracted. In this way, by traversing and extracting the sub-text, when the entire sub-text represents a scene information character, the scene information character can be directly extracted. When the sub-text consists of multiple scene information characters, it can be accurately split into multiple scene information characters. For example, when the sub-text consists of scene information characters representing time and scene information characters representing location, two scene information characters can be extracted. Alternatively, the sub-text consists of two scene information characters representing locations, one representing a specific location and the other representing a general location. When the number of words contained in the location exceeds 1, two scene information characters can be obtained by extraction.

Specifically, each character in the character range value of the scene information can be compared with each character in the sub-text. If there is a consistent character, it can be considered that the consistent character is a scene information character. Therefore, it can be Perform a fetch operation. Further, after the character is determined as a scene information character and extracted, if the extracted scene information character is a character representing a person's name, then the character adjacent to the scene information character can be determined as a character representing a person's name. characters of a person's name and extract them. Because in the script, when the time, place and characters appear on the same line and there are no cue words, the characters are usually placed at the end. Therefore, if the scene information character is a character representing a person's name, it can be considered that the characters after the person's name are also the person's name, and the extraction can be continued. In this way, new scene information characters can be quickly extracted without performing other operations, thereby improving the extraction efficiency to a certain extent.

In the embodiment of the present invention, it is first determined whether the scene text contains the scene information prompt word according to the preset scene information prompt word range value, and if the scene text contains the scene information prompt word, it can be determined by direct extraction Scene information characters, which can avoid performing other necessary operations and improve processing efficiency. At the same time, in the case that the scene text does not contain the scene information prompt words, the method of determining the scene information characters in the scene text is further based on the scene information character range value and the part of speech of the words in the character string. The method of determining the word range value can prevent the scene information characters from being omitted to a certain extent, thereby ensuring that the scene information characters can be completely and accurately extracted, and the extraction effect can be ensured. Of course, in another optional embodiment of the present invention, it is also possible to extract only according to the scene information prompt words or only according to the character range value of the scene information and/or the part of speech of the words in the sub-text in the scene text, or extract a part of the scene The text is extracted according to the scene information prompt words, and another part of the scene text is extracted according to the character range value of the scene information and/or the part of speech of the words in the sub-text.

By way of example, FIG. 2-3 is a schematic diagram of a processing flow provided by an embodiment of the present invention. As shown in FIG. 2-3 , the preprocessed script can be divided into sets, Process by scene to get multiple scene texts. Next, it is determined whether the scene text contains the scene information prompt words, and in the case of inclusion, the extraction is performed according to the scene information prompt words, and in the case of not including the scene information, the extraction is performed according to the preset scene information character range value, part of speech and specific words . Finally, get the scene information.

Step 205: Determine the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the episode to which the scene text belongs, as the information to be sorted out of the scene text.

Specifically, for an implementation manner of this step, reference may be made to the foregoing step 104, which is not limited in this embodiment of the present invention.

Step 206 , combine the to-be-arranged information of the scene text and the body text in the scene text according to a preset form to form a target script.

Specifically, this step can be implemented through the following sub-steps (7) to (8):

Sub-step (7): According to the information category to which the information to be sorted belongs, set an information category identifier corresponding to the information category for the information to be sorted, and set a text text identifier for the body text.

In this step, the information category may include episode number, scene number, time, place, person, weather, and the like. The information category identifier and the body text identifier corresponding to the information category may be preferentially set according to actual needs, which is not limited in this embodiment of the present invention. For example, the information category identifier corresponding to the episode number may be "episode_id", the information category identifier corresponding to the scene number may be "setting_id", the information category identifier corresponding to time may be "time", and the information category identifier corresponding to the location may be " side", "location", etc., and the information category identifier corresponding to the weather can be "weather". The body text identifier can be represented as "content".

Specifically, when setting the identifier, the information category identifier can be used as a key, and the scene information character can be used as a value to form a key-value pair to obtain the scene information character set with the information category identifier, and the text identifier of the text can be used as a key. The text is used as a value to form a key-value pair to get the body text with the body ID set. It should be noted that, in this embodiment of the present invention, the key-value pairs corresponding to the above scene information characters may also be stored in a preset storage area, so as to store the information to be sorted out of different information categories in the form of key-value pairs.

Sub-step (8): Combine the information to be sorted out with the information category identifier set with the main text text in which the main text identifier is set.

In this step, the combination may be performed in a preset order. The preset sequence may be preset according to actual requirements. For example, the preset sequence may be episode number scene information - scene number scene information - time scene information - location scene information - weather scene information - text.

By way of example, FIG. 2-4 is a schematic diagram of a processing provided by an embodiment of the present invention. As shown in FIG. 2-4, the content of the original script to be processed is:

"1-44. Outside the gate of the General Administration of Political Defense

Yu Zecheng was a little nervous, took a deep breath and walked in. "

For the to-be-processed script, the to-be-processed script may be preprocessed first, and then scene information is extracted, wherein the operations of preprocessing and scene extraction may be implemented based on a business dictionary and regular expressions. The business dictionary may be various range values involved in the foregoing step 201, and the regular expression may be the regular expression involved in the foregoing step. Next, text normalization may be performed, that is, this step is performed, and finally a script with a normalized format is obtained. For example, the content of the final script can be: {'episode_id': 1, 'setting_id': 44, 'time': 'day', 'side': 'outside', 'location': 'Political Defense Agency' The door', 'weather': ', ''content': ' Yu Zecheng was a little nervous, took a deep breath and walked in. ’}

Further, in order to improve the quality of the body text, in this embodiment of the present invention, the body text may also be processed as follows: it is detected whether the number of characters contained in the body text does not reach the preset number of accommodating characters in the line and the end of the line does not contain ending punctuation. line of symbols. The preset number of words in a line may be the maximum number of words that can be accommodated in a line in the script to be processed, and the ending punctuation refers to a punctuation that functions to indicate the end of a sentence, for example, a period. Further, if there is, then in the case that the number of characters included in the row is less than the first preset word count threshold and/or the first word of the next adjacent row of the row does not represent a person's name, the next adjacent row will be described. Lines are merged with said lines. Specifically, if the number of words in a certain line does not reach the preset number of words in the line and the end of the line does not contain a trailing punctuation mark, it may be considered that an error line break may have occurred here. In order to avoid detection accuracy, it may be further determined whether the number of words contained in the line is less than the first preset word number threshold, and whether the first word of the next adjacent line of the line represents a person's name. If the number of words contained in the line is less than the first preset word number threshold, and/or the first word of the next adjacent line of the line does not represent a person's name, it may be further considered that an error line break occurs at the end of the line. Therefore, the next adjacent line can be merged with this line, thereby realizing line break repair. Wherein, merging the next adjacent row with the row may be connecting the head of the next adjacent row with the tail of the row.

Further, it is also possible to detect paragraphs in which the number of words contained in the body text is greater than the second preset word number threshold; for each line in the paragraph, determine the ending punctuation contained in the line, and put the line in the line. The text after the included trailing punctuation is split to the next line. The second preset word count threshold may be set according to the maximum word count of a paragraph in the script. If a certain paragraph contains more words than the second preset word count threshold, it means that the paragraph may be wrapped but not wrapped. Therefore, it is possible to further determine the ending punctuation mark included in each line in the paragraph, and then divide the text after the ending punctuation mark to the next line, thereby realizing line breaking of a long sentence. Wherein, dividing the text after the ending punctuation mark to the next line may be realized by adding a newline character after the ending punctuation mark. In the embodiment of the present invention, by performing line-break repair and long-sentence line-breaking on the body text, the body text is made more standardized, thereby facilitating the later processing of the script.

By way of example, FIG. 2-5 is a schematic diagram of the composition of a scene text provided by an embodiment of the present invention. As shown in FIG. 2-5, the scene text may include scene information characters representing time, place, character, and weather, and body text, Wherein, the body text is processed by body format normalization, that is, line break repair and long sentence line break, to obtain normalized body text.

To sum up, in the script processing method provided by the embodiment of the present invention, a preprocessing operation is performed on the script to be processed, so as to reduce the interference factors in the script to be processed, and further improve the subsequent processing effect to a certain extent. Then, according to the preset expression range of the episode number, the episode number and the position of the episode number included in the script to be processed are determined, and the script to be processed is divided into multiple episodes according to the included episode number and the position of the episode number. The preset scene number expression range, determine the scene number and the location of the scene number included in the episode, and divide the episode into multiple scene texts according to the scene number and the location of the scene number, and extract the scene text for at least one scene text. The scene information characters contained in the scene text, the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the episode to which the scene text belongs are determined as the information to be sorted out of the scene text, and the information to be sorted out of the scene text is determined. And the text in the scene text is combined according to the preset form to form the target script. In the embodiment of the present invention, by first dividing the script to be processed into scene texts, and extracting a single scene text as the processing object, the coupling degree within the script can be reduced to a certain extent, and the interference of the script format on the extraction of scene information can be reduced. Improve extraction accuracy. At the same time, after the scene information is extracted, the scene text will be recombined according to the preset form, so that the internal form of each scene text in the script can be kept consistent, thereby facilitating subsequent processing of the script.

FIG. 3 is a block diagram of a script processing apparatus provided by an embodiment of the present invention. The apparatus can be applied to electronic equipment. As shown in FIG. 3 , the apparatus 30 may include:

The first determination module 301 is configured to determine the episode number and the position of the episode number contained in the script to be processed according to the preset episode number expression range, and to determine the position of the episode number according to the included episode number The to-be-processed script is divided into a plurality of episodes.

The second determining module 303 is configured to, for at least one of the episodes, determine the scene number included in the episode and the location of the scene number according to the preset scene number expression range, and determine the scene number and the location of the scene number according to the scene number and the scene number. The location of the scene number divides the episode into the plurality of scene texts.

The extraction module 303 is configured to, for at least one of the scene texts, extract scene information characters contained in the scene texts.

The third determining module 304 is configured to determine the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the episode to which the scene text belongs, as the information to be sorted out of the scene text.

The combining module 305 is configured to combine the to-be-arranged information of the scene text and the body text in the scene text according to a preset form to form a target script.

Optionally, the extraction module 303 is specifically used for:

According to the preset scene information prompt word range value, the scene text is traversed to determine whether the scene information prompt word is included in the scene text.

If the scene text contains scene information prompt words, the characters adjacent to the scene information prompt words are determined as scene information characters, and are extracted.

If the scene text does not contain scene information prompt words, divide the scene text into multiple sub-texts; according to the preset scene information character range value and/or the part of speech of the words in the sub-text Extract scene information characters.

Optionally, the extraction module 303 is also specifically used for:

Determine the part of speech of the words included in the sub-text; determine the words whose part of speech is a preset part of speech and contain a specific character as scene information characters, and extract them.

And/or, the sub-text is traversed according to the preset scene information character range value to determine whether the sub-text contains characters existing in the preset scene information character range value; The described characters are determined as scene information characters and extracted.

Wherein, the character range value of the scene information includes at least one of the following information: commonly used characters representing time, characters representing location, characters representing weather, and characters representing names.

Optionally, the first determining module 301 is specifically configured to:

A set number regular expression is generated according to the preset set number expression range; the set number regular expression is defined with the set number included in the set number expression range.

Regularly match the to-be-processed script by using the episode number regular expression, and determine the episode number of each episode included in the to-be-processed script and the position of the episode number.

Optionally, the second determining module 302 is specifically configured to:

A scene number regular expression is generated according to the preset scene number expression range. The scene number regular expression defines the scene number included in the scene number expression range.

Regularly match the episode by using the scene number regular expression, and determine the scene number of each scene included in the episode and the position of the scene number.

Optionally, the device 30 further includes:

A preprocessing module, configured to perform a preprocessing operation on the script to be processed.

The preprocessing operation includes at least one of the following operations: deleting interference information in the script to be processed.

Convert the font in the script to be processed into a preset font.

According to a preset symbol mapping relationship, the punctuation symbols in the script to be processed are converted into punctuation symbols corresponding to the punctuation symbols in the symbol mapping relationship.

According to a preset range of available punctuation marks, punctuation marks in the script to be processed that do not belong to the range of available punctuation marks are deleted.

Optionally, the combination module 305 is specifically used for:

According to the information category to which the information to be organized belongs, an information category identifier corresponding to the information category to which the information to be organized belongs is set, and a body text identifier is set for the body text.

Combining the information to be organized with the information category identifier set and the body text with the body identifier set.

To sum up, in the script processing apparatus provided by the embodiment of the present invention, the first determination module may determine the episode number and the position of the episode number contained in the script to be processed according to the preset episode number expression range, and determine the episode number and the position of the episode number contained in the script to be processed, and determine the episode number according to the included episode number. and the position of the episode number to divide the script to be processed into multiple episodes, the second determination module can determine the scene number and the location of the scene number included in the episode according to the preset scene number expression range, and according to the scene number and the scene number The numbered position divides the episode into a plurality of scene texts, the extraction module can extract the scene information characters contained in the scene text for at least one scene text, and the third determination module can extract the scene information characters and scene text contained in the scene text. The scene number and the episode number of the episode to which the scene text belongs are determined as the information to be sorted out of the scene text, and the combining module can combine the to-be-sorted information of the scene text and the body text in the scene text according to a preset form, Create a target script. In the embodiment of the present invention, by first dividing the script to be processed into scene texts, and extracting a single scene text as the processing object, the coupling degree within the script can be reduced to a certain extent, and the interference of the script format on the extraction of scene information can be reduced. Improve extraction accuracy. At the same time, after the scene information is extracted, the scene texts are recombined according to the preset form, so that the internal forms of each scene text in the script can be kept consistent, thereby facilitating subsequent processing of the script.

For the above-mentioned apparatus embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and reference may be made to the partial descriptions of the method embodiments for related parts.

An embodiment of the present invention further provides an electronic device, as shown in FIG. 4 , including a processor 401 , a communication interface 402 , a memory 403 and a communication bus 404 , wherein the processor 401 , the communication interface 402 , and the memory 403 pass through the communication bus 404 complete communication with each other,

a memory 403 for storing computer programs;

When the processor 401 is used to execute the program stored in the memory 403, the following steps are implemented:

Determine the episode number included in the to-be-processed script and the position of the episode number according to a preset expression range of episode numbers, and divide the to-be-processed script into multiple parts according to the episode number and the position of the episode number episodes;

For at least one of the episodes, the scene number included in the episode and the position of the scene number are determined according to the preset scene number expression range, and the scene number and the position of the scene number are determined according to the scene number and the position of the scene number. dividing the episode into the plurality of scene texts;

For at least one of the scene texts, extracting scene information characters contained in the scene texts;

Determine the scene information characters contained in the scene text, the scene number of the scene text, and the episode number of the drama to which the scene text belongs, as the information to be sorted out of the scene text;

The to-be-arranged information of the scene text and the body text in the scene text are combined according to a preset form to form a target script.

The communication bus mentioned by the above terminal may be a Peripheral Component Interconnect (PCI for short) bus or an Extended Industry Standard Architecture (Extended Industry Standard Architecture, EISA for short) bus or the like. The communication bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of presentation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the above-mentioned terminal and other devices.

The memory may include random access memory (Random Access Memory, RAM for short), and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

The above-mentioned processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, referred to as CPU), a network processor (Network Processor, referred to as NP), etc.; may also be a digital signal processor (Digital Signal Processing, referred to as DSP), dedicated Integrated circuit (Application Specific Integrated Circuit, ASIC for short), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components.

In yet another embodiment provided by the present invention, a computer-readable storage medium is also provided, where instructions are stored in the computer-readable storage medium, when the computer-readable storage medium is run on a computer, the computer is made to execute any one of the above-mentioned embodiments. The described script processing method.

In yet another embodiment provided by the present invention, there is also provided a computer program product including instructions, which, when running on a computer, causes the computer to execute the script processing method described in any one of the foregoing embodiments.

In the above-mentioned embodiments, it may be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented in software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer may be a general purpose computer, special purpose computer, computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server or data center Transmission to another website site, computer, server, or data center is by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.). The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that includes an integration of one or more available media. The usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), among others.

It should be noted that, in this document, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any relationship between these entities or operations. any such actual relationship or sequence exists. Moreover, the terms "comprising", "comprising" or any other variation thereof are intended to encompass a non-exclusive inclusion such that a process, method, article or device that includes a list of elements includes not only those elements, but also includes not explicitly listed or other elements inherent to such a process, method, article or apparatus. Without further limitation, an element qualified by the phrase "comprising a..." does not preclude the presence of additional identical elements in a process, method, article or apparatus that includes the element.

Each embodiment in this specification is described in a related manner, and the same and similar parts between the various embodiments may be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, as for the system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for related parts, please refer to the partial descriptions of the method embodiments.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims (10)

1. A scenario processing method applied to an electronic device, the method comprising:

determining a set number and a position of the set number contained in the script to be processed according to a preset set number expression range, and dividing the script to be processed into a plurality of scripts according to the set number and the position of the set number;

for at least one episode, determining a scene number and a position of the scene number contained in the episode according to a preset scene number expression range, and dividing the episode into a plurality of scene texts according to the scene number and the position of the scene number;

for at least one scene text, extracting scene information characters contained in the scene text;

determining scene information characters contained in the scene text, a scene number of the scene text and a collection number of an episode to which the scene text belongs as information to be sorted of the scene text;

and combining the information to be sorted of the scene text and the text in the scene text according to a preset form to form a target script.

2. The method according to claim 1, wherein said extracting, for at least one of the scene texts, a scene information character contained in the scene text comprises:

traversing the scene text according to a preset scene information cue word range value to determine whether the scene text contains a scene information cue word;

if the scene text contains scene information prompt words, determining characters adjacent to the scene information prompt words as scene information characters, and extracting the characters;

if the scene text does not contain scene information cue words, dividing the scene text into a plurality of sub-texts; and extracting scene information characters from the sub-texts according to preset scene information character range values and/or the part of speech of the words in the sub-texts.

3. The method according to claim 2, wherein the extracting scene information characters from the sub-text according to preset scene information character range values and/or parts of speech of words in the sub-text comprises:

determining the part of speech of the words contained in the subfile; determining words with parts of speech as preset parts of speech and containing specific characters as scene information characters, and extracting the words;

and/or traversing the sub-text according to a preset scene information character range value to determine whether the sub-text contains characters existing in the preset scene information character range value; if yes, determining the character as a scene information character, and extracting;

wherein, the character range value of the scene information at least comprises one of the following information: commonly used characters representing time, characters representing place, characters representing weather, and characters representing name of person.

4. The method according to claim 1, wherein the determining the episode number included in the scenario to be processed and the position of the episode number according to a preset episode number expression range comprises:

generating a set number regular expression according to the preset set number expression range; the set number regular expression is defined with set numbers contained in the set number expression range;

and performing regular matching on the script to be processed by using the set number regular expression, and determining the set number and the position of the set number of each script contained in the script to be processed.

5. The method according to claim 1, wherein the determining the scene number and the position of the scene number included in the episode according to a preset scene number expression range comprises:

generating a scene number regular expression according to the preset scene number expression range; scene numbers contained in the scene number expression range are defined in the scene number regular expression;

and performing regular matching on the episode by using the scene number regular expression, and determining the scene number of each scene contained in the episode and the position of the scene number.

6. The method of claim 1, further comprising:

carrying out pretreatment operation on the script to be treated;

wherein the preprocessing operation comprises at least one of the following operations:

deleting the interference information in the scenario to be processed;

converting the fonts in the script to be processed into preset fonts;

converting punctuation marks in the script to be processed into punctuation marks corresponding to the punctuation marks in the symbol mapping relation according to a preset symbol mapping relation;

and deleting punctuation marks which do not belong to the available punctuation mark range value in the script to be processed according to a preset available punctuation mark range value.

7. The method according to claim 1, wherein the combining the information to be collated of the scene text and the body text in the scene text according to a preset form comprises:

according to the information category to which the information to be sorted belongs, setting an information category identifier corresponding to the information category to which the information to be sorted belongs for the information to be sorted, and setting a text identifier for the text;

and combining the information to be sorted with the information category identification and the text with the text identification.

8. A scenario processing apparatus applied to an electronic device, the apparatus comprising:

the first determining module is used for determining the episode number and the position of the episode number contained in the scenario to be processed according to a preset episode number expression range, and dividing the scenario to be processed into a plurality of episodes according to the contained episode number and the position of the episode number;

the second determining module is used for determining scene numbers and positions of the scene numbers contained in at least one episode according to a preset scene number expression range, and dividing the episode into a plurality of scene texts according to the scene numbers and the positions of the scene numbers;

the extraction module is used for extracting scene information characters contained in the scene text for at least one scene text;

a third determining module, configured to determine, as information to be sorted of the scene text, a scene information character included in the scene text, a scene number of the scene text, and a collection number of an episode to which the scene text belongs;

and the combination module is used for combining the information to be sorted of the scene text and the text in the scene text according to a preset form to form the target script.

9. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;

a memory for storing a computer program;

a processor for implementing the method of any one of claims 1 to 7 when executing a program stored in the memory.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.

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