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:Author: Maarten van Gompel
:Author: Ko van der Sloot
:Author: Antal van den Bosch
Centre for Language Studies
Radboud University Nijmegen
URL: https://languagemachines.github.io/ucto/
.. role:: math(raw)
:format: html latex
..
.. role:: raw-latex(raw)
:format: latex
..
Introduction
============
Tokenisation is a process in which text is segmented into the various
sentence and word tokens that constitute the text. Most notably, words
are separated from any punctuation attached and sentence boundaries are
detected. Tokenisation is a common and necessary pre-processing step for
almost any Natural Language Processing task, and preceeds further
processing such as Part-of-Speech tagging, lemmatisation or syntactic
parsing.
Whilst tokenisation may at first seem a trivial problem, it does pose
various challenges. For instance, the detection of sentence boundaries
is complicated by the usage of periods abbreviations and the usage of
capital letters in proper names. Furthermore, tokens may be contracted
in constructions such as “I’m”, “you’re”, “father’s”. A tokeniser will
generally split those.
Ucto is an advanced rule-based tokeniser. The tokenisation rules used by
ucto are implemented as regular expressions and read from external
configuration files, making ucto flexible and extensible. Configuration
files can be further customised for specific needs and for languages not
yet supported. Tokenisation rules have first been developed for Dutch,
but configurations for English, German, French, Italian, and Swedish are
also provided. Ucto features full unicode support. Ucto is not just a
standalone program, but is also a C++ library that you can use in your
own software.
This reference guide is structured as follows. In Chapter [license] you
can find the terms of the license according to which you are allowed to
use, copy, and modify Ucto. The subsequent chapter gives instructions on
how to install the software on your computer. Next,
Chapter [implementation] descibres the underlying implementation of the
software. Chapter [usage] explains the usage.
GNU General Public License
==========================
Ucto is free software; you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free
Software Foundation; either version 3 of the License, or (at your
option) any later version.
Ucto is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
more details.
You should have received a copy of the GNU General Public License along
with Ucto. If not, see
:math:`<`\ http://www.gnu.org/licenses/\ :math:`>`.
In publication of research that makes use of the Software, a citation
should be given of: *“Maarten van Gompel, Ko van der Sloot, Antal van
den Bosch (2012). Ucto: Unicode Tokeniser. Reference Guide. ILK
Technical Report 12-05,
Available from http://ilk.uvt.nl/downloads/pub/papers/ilk.1205.pdf”*
For information about commercial licenses for the Software, contact
lamasoftware@science.ru.nl, or send your request to:
Prof. dr. Antal van den Bosch
Radboud University Nijmegen
P.O. Box 9103 – 6500 HD Nijmegen
The Netherlands
Email: a.vandenbosch@let.ru.nl
Installation
============
The ucto source can be obtained from:
https://github.com/LanguageMachines/ucto
These sources need to be compiled for the software to run.
However, on most recent Debian and Ubuntu systems, Ucto can be found in
the respective software repositories and can be installed with a simple:
$ apt-get install ucto
On Arch Linux, ucto is available from the Arch User Repository. If you
have a package for your distribution, you can skip the remainder of this
section.
To facilitate installation in other situations, we recommend to use our
LaMachine software distribution, which includes ucto and all
dependencies:
http://proycon.github.io/LaMachine/
If you however install from the source archive, the compilation and
installation should also be relatively straightforward on most UNIX
systems, and will be explained in the remainder of this section.
| Ucto depends on the ``libicu`` library. This library can be obtained
from
| http://site.icu-project.org/ but is also present in the package
manager of all major Linux distributions. Ucto also depends on
``uctodata``, ``libfolia`` (available from
``http://proycon.github.com/folia``), which in turn depends on
``libticcutils`` (available from
| ``http://github.com/LanguageMachines/ticcutils``). It will not compile
without any of them.
If all dependencies are satisfied, to compile ucto on your computer, run
the following from the ucto source directory:
$ bash bootstrap.sh
$ ./configure
Note: It is possible to install Ucto in a different location than the
global default using the ``–prefix=<dir>`` option, but this tends to
make further operations (such as compiling higher-level packages like
Frog [1]_) more complicated. Use the –with-ucto= option in configure.
After configure you can compile Ucto:
$ make
and install:
$ make install
If the process was completed successfully, you should now have
executable file named ucto in the installation directory (/usr/local/bin
by default, we will assume this in the reminder of this section), and a
dynamic library libucto.so in the library directory (/usr/local/lib/).
The configuration files for the tokeniser can be found in
/usr/local/etc/ucto/.
Ucto should now be ready for use. Reopen your terminal and issue the
ucto command to verify this. If not found, you may need to add the
installation directory (/usr/local/bin to your $PATH.
That’s all!
The e-mail address for problems with the installation, bug reports,
comments and questions is lamasoftware@science.ru.nl.
Implementation
==============
Ucto is a regular-expression-based tokeniser. Regular expressions are
read from an external configuration file and processed in an order
explicitly specified in this same configuration file. Each regular
expression has a named label. These labels are propagated to the
tokeniser output as tokens processed by a certain regular expression are
assigned its identifier.
The tokeniser will first split on the spaces already present in the
input, resulting in various *fragments*. Each fragment is then matched
against the ordered set of regular expressions, until a match is found.
If a match is found, the matching part is a token and is assigned the
label of the matching regular expression. The matching part may be a
only a substring of the fragment, in which case there are one or two
remaining parts on the left and/or right side of the match. These will
be treated as any other fragments and all regular expressions are again
tested in the specified order, from the start, and in exactly the same
way. This process continues until all fragments are processed.
If a regular expression contains subgroups (marked by parentheses), then
not the whole match, but rather the subgroups themselves will become
*separate* tokens. Parts within the whole match but not in subgroups are
discarded, whilst parts completely outside the match are treated as
usual.
Ucto performs sentence segmentation by looking at a specified list of
end-of-sentence markers. Whenever an end-of-sentence marker is found, a
sentence ends. However, special treatment is given to the period (“.”),
because of its common use in abbreviations. Ucto will attempt to use
capitalisation (for scripts that distinguish case) and sentence length
cues to determine whether a period is an actual end of sentence marker
or not.
Simple paragraph detection is available in Ucto: a double newline
triggers a paragraph break.
Quote detection is also available, but still experimental and by default
disabled as it quickly fails on input that is not well prepared.If your
input can be trusted on quotes being paired, you can try to enable it.
Note that quotes spanning over paragraphs are not supported.
Configuration
-------------
The regular expressions on which ucto relies are read from external
configuration files. A configuration file is passed to ucto using the
``-c`` or ``-L`` flags. Configuration files are included for several
languages, but it has to be noted that at this time only the Dutch one
has been stress-tested to sufficient extent.
The configuration file consists of the following sections:
- ``RULE-ORDER`` – Specifies which rules are included and in what order
they are tried. This section takes a space separated list (on one
line) of rule identifiers as defined in the ``RULES`` section. Rules
not included here but only in ``RULES`` will be automatically added
to the far end of the chain, which often renders them ineffective.
- | ``RULES`` – Contains the actual rules in format ``ID=regexp``,
where ``ID`` is a label identifying the rule, and ``regexp`` is a
regular expression in libicu syntax. This syntax is thoroughly
described on
| ``http://userguide.icu-project.org/strings/regexp`` . The order is
specified seperately in ``RULE-ORDER``, so the order of definition
here does not matter.
- ``ABBREVIATIONS`` – Contains a list of known abbreviations, one per
line. These may occur with a trailing period in the text, the
trailing period is not specified in the configuration. This list will
be processed prior to any of the explicit rules. Libicu regular
expression syntax is used again. Tokens that match abbreviations from
this section get assigned the label ``ABBREVIATION-KNOWN``.
- ``SUFFIXES`` – Contains a list of known suffixes, one per line, that
the tokeniser should consider separate tokens. This list will be
processed prior to any of the explicit rules. Libicu regular
expression syntax is used again. Tokens that match any suffixes in
this section receive the label ``SUFFIX``.
- ``PREFIXES`` – Contains a list of known prefixes, one per line, that
the tokeniser should consider separate tokens. This list will be
processed prior to any of the explicit rules. Libicu regular
expression syntax is used again. Tokens that match any suffixes in
this section receive the label ``PREFIX``.
- ``TOKENS`` – Treat any of the tokens, one per line, in this list as
integral units and do not split it. This list will be processed prior
to any of the explicit rules. Once more, libicu regular expression
syntax is used. Tokens that match any suffixes in this section
receive the label ``WORD-TOKEN``.
- ``ATTACHEDSUFFIXES`` – This section contains suffixes, one per line,
that should *not* be split. Words containing such suffixes will be
marked ``WORD-WITHSUFFIX``.
- ``ATTACHEDPREFIXES`` – This section contains prefixes, one per line,
that should *not* be split. Words containing such prefixes will be
marked ``WORD-WITHPREFIX``.
- ``ORDINALS`` – Contains suffixes, one per line, used for ordinal
numbers. Number followed by such a suffix will be marked as
``NUMBER-ORDINAL``.
- ``UNITS`` – This category is reserved for units of measurements, one
per line, but is currently disabled due to problems.
- ``CURRENCY`` – This category is reserved for currency symbols, one
per line, but is currently disabled due to problems.
- ``EOSMARKERS`` – Contains a list of end-of-sentence markers, one per
line and in ``\uXXXX`` format, where ``XXXX`` is a hexadecimal number
indicating a unicode code-point. The period is generally not included
in this list as ucto treats it specially considering its role in
abbreviations.
- ``QUOTES`` – Contains a list of quote-pairs in the format
``beginquotes \s endquotes \n``. Multiple begin quotes and endquotes
are assumed to be ambiguous.
- ``FILTER`` – Contains a list of transformations. In the format
``pattern \s replacement \n``. Each occurrence of ``pattern`` will be
replaced. This is useful for deconstructing ligatures for example.
Lines starting with a hash sign are treated as comments. Lines starting
with ``%include `` will include the contents of another file. This may
be useful if for example multiple configurations share many of the same
rules, as is often the case. This directive is for the moment only
supported within ``RULES``, ``FILTER``, ``QUOTES`` and ``EOSMARKERS``.
You can see several sections specifying lists. These are implicit
regular expressions as all are converted to regular expressions. They
are checked prior to any of the explicit rules, in the following order
of precedence:
``SUFFIXES, PREFIXES, ATTACHEDSUFFIXES, ATTACHEDPREFIXES, TOKENS, ABBREVIATIONS, ORDINALS``.
When creating your own configuration, it is recommended to start by
copying an existing configuration and use it as example. For debugging
purposes, run ucto in a debug mode using ``-d``. The higher the level,
the more debug output is produced, showing the exact pattern matching.
Usage
=====
Ucto is a command-line tool. The following options are available:
::
Usage:
ucto [[options]] [input-file] [[output-file]]
Options:
-c <configfile> - Explicitly specify a configuration file
-d <value> - set debug level
-e <string> - set input encoding (default UTF8)
-N <string> - set output normalization (default NFC)
-f - Disable filtering of special characters
-L <language> - Automatically selects a configuration file
by language code
-l - Convert to all lowercase
-u - Convert to all uppercase
-n - One sentence per line (output)
-m - One sentence per line (input)
-v - Verbose mode
-s <string> - End-of-Sentence marker (default: <utt>)
--passthru - Don't tokenize, but perform input decoding
and simple token role detection
-P - Disable paragraph detection
-S - Disable sentence detection!
-Q - Enable quote detection (experimental)
-V - Show version information
-F - Input file is in FoLiA XML. All untokenised
sentences will be tokenised.
-X - Output FoLiA XML, use the Document ID
specified with --id=
--id <DocID> - use the specified Document ID to label
the FoLia doc.
(-x and -F disable usage of
most other options: -nulPQVsS)
Ucto has two input formats and three output formats. It can take either
an untokenised plain text UTF-8 as input, or a FoLiA XML document with
untokenised sentences. If the latter is the case, the ``-F`` flag should
be added.
Output by default is to standard error output in a simplistic format
which will simply show all of the tokens and places a ``<utt>`` symbol
where sentence boundaries are detected. Consider the following
untokenised input text: *Mr. John Doe goes to the pet store. He sees a
cute rabbit, falls in love, and buys it. They lived happily ever
after.*, and observe the output in the example below.
We save the file to ``/tmp/input.txt`` and we run ucto on it. The
``-L eng`` option sets the language to English and loads the English
configuration for ucto. Instead of ``-L``, which is nothing more than a
convenient shortcut, we could also use ``-c`` and point to the full path
of the configuration file.
::
$ ucto -L eng /tmp/input.txt
configfile = tokconfig-eng
inputfile = /tmp/input.txt
outputfile =
Initiating tokeniser...
Mr. John Doe goes to the pet store . <utt> He sees a cute rabbit , falls
in love , and buys it . <utt> They lived happily ever after . <utt>
Alternatively, you can use the ``-n`` option to output each sentence on
a separate line, instead of using the ``<utt>`` symbol:
::
$ ucto -L eng -n /tmp/input.txt
configfile = tokconfig-eng
inputfile = /tmp/input.txt
outputfile =
Initiating tokeniser...
Mr. John Doe goes to the pet store .
He sees a cute rabbit , falls in love , and buys it .
They lived happily ever after .
To output to an output file instead of standard output, we would invoke
ucto as follows:
::
$ ucto -L eng /tmp/input.txt /tmp/output.txt
This simplest form of output does not show all of the information ucto
has on the tokens. For a more verbose view, add the ``-v`` option:
::
$ ucto -L eng -v /tmp/input.txt
configfile = tokconfig-eng
inputfile = /tmp/input.txt
outputfile =
Initiating tokeniser...
Mr. ABBREVIATION-KNOWN BEGINOFSENTENCE NEWPARAGRAPH
John WORD
Doe WORD
goes WORD
to WORD
the WORD
pet WORD
store WORD NOSPACE
. PUNCTUATION ENDOFSENTENCE
He WORD BEGINOFSENTENCE
sees WORD
a WORD
cute WORD
rabbit WORD NOSPACE
, PUNCTUATION
falls WORD
in WORD
love WORD NOSPACE
, PUNCTUATION
and WORD
buys WORD
it WORD NOSPACE
. PUNCTUATION ENDOFSENTENCE
They WORD BEGINOFSENTENCE
lived WORD
happily WORD
ever WORD
after WORD NOSPACE
. PUNCTUATION ENDOFSENTENCE
As you see, this outputs the token types (the matching regular
expressions) and roles such as ``BEGINOFSENTENCE``, ``ENDOFSENTENCE``,
``NEWPARAGRAPH``, ``BEGINQUOTE``, ``ENDQUOTE``, ``NOSPACE``.
For further processing of your file in a natural language processing
pipeline, or when releasing a corpus. It is recommended to make use of
the FoLiA XML format :raw-latex:`\cite{FOLIA}` [2]_. FoLiA is a format
for linguistic annotation supporting a wide variety of annotation types.
FoLiA XML output is enabled by specifying the ``-X`` flag. An ID for the
FoLiA document can be specified using the ``–id=`` flag.
::
$ ucto -L eng -v -X --id=example /tmp/input.txt
configfile = tokconfig-eng
inputfile = /tmp/input.txt
outputfile =
Initiating tokeniser...
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="folia.xsl"?>
<FoLiA xmlns:xlink="http://www.w3.org/1999/xlink"
xmlns="http://ilk.uvt.nl/folia" xml:id="example" generator="libfolia-v0.10">
<metadata type="native">
<annotations>
<token-annotation annotator="ucto" annotatortype="auto" set="tokconfig-en"/>
</annotations>
</metadata>
<text xml:id="example.text">
<p xml:id="example.p.1">
<s xml:id="example.p.1.s.1">
<w xml:id="example.p.1.s.1.w.1" class="ABBREVIATION-KNOWN">
<t>Mr.</t>
</w>
<w xml:id="example.p.1.s.1.w.2" class="WORD">
<t>John</t>
</w>
<w xml:id="example.p.1.s.1.w.3" class="WORD">
<t>Doe</t>
</w>
<w xml:id="example.p.1.s.1.w.4" class="WORD">
<t>goes</t>
</w>
<w xml:id="example.p.1.s.1.w.5" class="WORD">
<t>to</t>
</w>
<w xml:id="example.p.1.s.1.w.6" class="WORD">
<t>the</t>
</w>
<w xml:id="example.p.1.s.1.w.7" class="WORD">
<t>pet</t>
</w>
<w xml:id="example.p.1.s.1.w.8" class="WORD" space="no">
<t>store</t>
</w>
<w xml:id="example.p.1.s.1.w.9" class="PUNCTUATION">
<t>.</t>
</w>
</s>
<s xml:id="example.p.1.s.2">
<w xml:id="example.p.1.s.2.w.1" class="WORD">
<t>He</t>
</w>
<w xml:id="example.p.1.s.2.w.2" class="WORD">
<t>sees</t>
</w>
<w xml:id="example.p.1.s.2.w.3" class="WORD">
<t>a</t>
</w>
<w xml:id="example.p.1.s.2.w.4" class="WORD">
<t>cute</t>
</w>
<w xml:id="example.p.1.s.2.w.5" class="WORD" space="no">
<t>rabbit</t>
</w>
<w xml:id="example.p.1.s.2.w.6" class="PUNCTUATION">
<t>,</t>
</w>
<w xml:id="example.p.1.s.2.w.7" class="WORD">
<t>falls</t>
</w>
<w xml:id="example.p.1.s.2.w.8" class="WORD">
<t>in</t>
</w>
<w xml:id="example.p.1.s.2.w.9" class="WORD" space="no">
<t>love</t>
</w>
<w xml:id="example.p.1.s.2.w.10" class="PUNCTUATION">
<t>,</t>
</w>
<w xml:id="example.p.1.s.2.w.11" class="WORD">
<t>and</t>
</w>
<w xml:id="example.p.1.s.2.w.12" class="WORD">
<t>buys</t>
</w>
<w xml:id="example.p.1.s.2.w.13" class="WORD" space="no">
<t>it</t>
</w>
<w xml:id="example.p.1.s.2.w.14" class="PUNCTUATION">
<t>.</t>
</w>
</s>
<s xml:id="example.p.1.s.3">
<w xml:id="example.p.1.s.3.w.1" class="WORD">
<t>They</t>
</w>
<w xml:id="example.p.1.s.3.w.2" class="WORD">
<t>lived</t>
</w>
<w xml:id="example.p.1.s.3.w.3" class="WORD">
<t>happily</t>
</w>
<w xml:id="example.p.1.s.3.w.4" class="WORD">
<t>ever</t>
</w>
<w xml:id="example.p.1.s.3.w.5" class="WORD" space="no">
<t>after</t>
</w>
<w xml:id="example.p.1.s.3.w.6" class="PUNCTUATION">
<t>.</t>
</w>
</s>
</p>
</text>
</FoLiA>
Ucto can also take FoLiA XML documents with untokenised sentences as
input, using the ``-F`` option.
.. [1]
http://ilk.uvt.nl/frog
.. [2]
See also: http://proycon.github.com/folia
|