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Zupan et al., 2019 - Google Patents

How to tag non-standard language: Normalisation versus domain adaptation for slovene historical and user-generated texts

Zupan et al., 2019

Document ID
13593599301532993179
Author
Zupan K
Ljubešić N
Erjavec T
Publication year
Publication venue
Natural Language Engineering

External Links

Snippet

Part-of-speech (PoS) tagging of non-standard language with models developed for standard language is known to suffer from a significant decrease in accuracy. Two methods are typically used to improve it: word normalisation, which decreases the out-of-vocabulary rate …
Continue reading at www.cambridge.org (other versions)

Classifications

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    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634Querying
    • G06F17/30657Query processing
    • G06F17/30675Query execution
    • G06F17/30684Query execution using natural language analysis
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    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2705Parsing
    • G06F17/2715Statistical methods
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    • G06F17/2863Processing of non-latin text
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    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2795Thesaurus; Synonyms
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/279Discourse representation
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
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