Skip to main content

segtok

https://img.shields.io/pypi/v/segtok.svg https://img.shields.io/pypi/l/segtok.svg https://travis-ci.org/fnl/segtok.svg?branch=master

NB: segtok v2, code-named syntok, is available and fixes some tricky issues with segtok, in particular splitting sentence with terminals not followed by spaces.Like this :-).

Sentence segmentation and word tokenization

The segtok package provides two modules, segtok.segmenter and segtok.tokenizer. The segmenter provides functionality for splitting (Indo-European) text into sentences. The tokenizer provides functionality for splitting (Indo-European) sentences into words and symbols (collectively called tokens). Both modules can also be used from the command-line. While other Indo-European languages could work, it has only been designed with languages such as Spanish, English, and German in mind. For a more informed introduction to this tool, please read the article on my blog.

Install

To use this package, you minimally should have the latest version of Python 2.7 or any 3.5+ branch installed. The package is expected to work with both Python 2.7 and 3.5+, tested against those latest Python branches, as well as Python 3.5. The easiest way to get segtok installed is using pip or any other package manager that works with PyPI:

pip3 install segtok

Important: If you are on a Linux machine and have problems installing the regex dependency of segtok, make sure you have the python-dev and/or python3-dev packages installed to get the necessary headers to compile the package.

Then try the command line tools on some plain-text files (e.g., this README) to see if segtok meets your needs:

segmenter README.rst | tokenizer

Test Suite

The testing environment works with pytest, tox and pyenv. You first need to install pyenv (on OSX with Homebrew: brew install pyenv), and tox with pytest (pip3 install tox pytest). Configuring pyenv depends on the Python versions you have installed. Here, we assume you have the latest 2.7 and 3 versions installed and only need to provide an environment for testing segtok against the 3.8 branch:

pyenv install 3.8.2
pyenv global system 3.8.2

The second command is essential and indicates that your preferred Python binary is the system version and then the 3.8.2 branch. If you forget the second command, you will see errors like ERROR: InvocationError: Failed to get version_info for python3.8: pyenv: python3.8: command not found when running tox. If you only have one Python version installed (say, 2.7), to fully run the tests, you must also install and globally configure the other version (e.g., the latest 3.x) with pyenv, too.

Finally, to run all of segtok’s unit-test suite, just run tox:

tox

Usage

For details, please refer to the respective documentation; This README only provides an overview of the provided functionality.

A command-line

After installing the package, two command-line tools will be available, segmenter and tokenizer. Each can take UTF-8 encoded plain-text and transforms it into newline-separated sentences or tokens, respectively. You can use other encoding in Python3 simply by reconfiguring your environment encoding or in any version of Python by forcing a particular encoding with the --encoding parameters. The tokenizer assumes that each line contains (at most) one single sentence, which is the output format of the segmenter. To learn more about each tool, please invoke them with their help option (-h or --help).

B segtok.segmenter

This module provides several split_... functions to segment texts into lists of sentences. In addition, to_unix_linebreaks normalizes linebreaks (including the Unicode linebreak) to newline control characters (\\n). The function rewrite_line_separators can be used to move (rewrite) the newline separators in the input text so that they are placed at the sentence segmentation locations.

C segtok.tokenizer

This module provides several ..._tokenizer functions to tokenize input sentences into words and symbols. To get the full functionality, use the web_tokenizer, which will split everything “semantically correctly” except for URLs and e-mail addresses. In addition, it provides convenience functionality for English texts: Two compiled patterns (IS_...) can be used to detect if a word token contains a possessive-s marker (“Frank’s”) or is an apostrophe-based contraction (“didn’t”). Tokens that match these patterns can then be split using the split_possessive_markers and split_contractions functions, respectively.

History

  • 1.5.11 setup.py: renamed data_files with the LICENSE.txt file reference to license_files

  • 1.5.10 removed deprecation warning (#23) as well as support for Python 3.3 from tox

  • 1.5.9 added the license as a LICENSE.txt file to this repository

  • 1.5.7 enhancement: split sentences even if the terminal is followed by invalid characters (contributed by @gkucsko)

  • 1.5.6 fixed a bug that would lead to joining lines in single-line mode (#11, reported by @yucongo)

  • 1.5.5 support for middle name initials (“Lester P. Pearson”)

  • 1.5.4 also support for European-style number-dates with numeric months (24. 12. 2016)

  • 1.5.3 added support for European-style number-dates and for months (24. Dez. 2016)

  • 1.5.2 fixed a tokenizer bug when parsing URLs ending with root paths (/), prevented sentence splitting after U.K., U.S. and E.U. if followed by upper-case (“U.S. Air Force”), added missing Unicode hyphens and apostrophes, and added test suite setup instructions

  • 1.5.1 removed count_continuations.py discussion from README (was only confusing); the segmenter now can preserve tab-separated text IDs before the text itself when reading from STDIN and then inserts a (tab-separated) sentence ID column for each sentence printed to STDOUT: see segmenter option --with-ids

  • 1.5.0 continuation words have been statistically evaluated and some poor choices removed (leading to more [precise] sentence splitting; see issue #9 by @Klim314 on GitHub)

  • 1.4.0 the word_tokenizer no longer splits on colons between digits (time, references, …)

  • 1.3.1 fixed multiple dangling commas and colons (reported by Jim Geovedi)

  • 1.3.0 added Python2.7 support and Travis CI test integration (BIG thanks to Mikhail!)

  • 1.2.2 made segtok.tokenizer.match protected (renamed to “_match”) and fixed UNIX linebreak normalization

  • 1.2.1 the length of sentences inside brackets is now parametrized

  • 1.2.0 wrote blog “documentation” and added chemical formula sub/super-script functionality

  • 1.1.2 fixed Unicode list of valid sentence terminals (was missing U+2048)

  • 1.1.1 fixed PyPI setup (missing MANIFEST.in for README.rst and “packages” in setup.py)

  • 1.1.0 added possessive-s marker and apostrophe contraction splitting of tokens

  • 1.0.0 initial release

Metadata

Release files for segtok 1.5.11

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for segtok 1.5.11
File Size Uploaded
segtok-1.5.11.tar.gz 25.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for segtok 1.5.11
File Interpreter ABI Platform
segtok-1.5.11-py3-none-any.whl Python 3 none any Details

Total release size: 49.6 kB

Release files / segtok-1.5.11.tar.gz

Download URL segtok-1.5.11.tar.gz
Size 25.2 kB
Tags Source
SHA-256 checksum
How to use checksums
8ab2dd44245bcbfec25b575dc4618473bbdf2af8c2649698cd5a370f42f3db23
BLAKE2b-256 checksum
How to use checksums
0c8a1ae8e3deb805831933b63d58851ab41ff2472099e15511fc62039421ad70
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

Release files / segtok-1.5.11-py3-none-any.whl

Download URL segtok-1.5.11-py3-none-any.whl
Size 24.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
910616b76198c3141b2772df530270d3b706e42ae69a5b30ef115c7bd5d1501a
BLAKE2b-256 checksum
How to use checksums
dd60d384dbae5d4756e33f1750fa3472303de2c827011907a64e213e114d0556
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

Release history Release notifications | RSS feed

This release

1.5.11 This release

2 release files

1.5.10

1 release file

1.5.9

1 release file

1.5.8

1 release file

1.5.7

1 release file

1.5.6

1 release file

1.5.5

1 release file

1.5.4

1 release file

1.5.3

1 release file

1.5.2

1 release file

1.5.1

1 release file

1.5.0

1 release file

1.4.0

1 release file

1.3.1

1 release file

1.3.0.0

1 release file

1.3.0

1.2.2

1 release file

1.2.1

1 release file

1.2.0

1 release file

1.1.2

1 release file

1.1.1

1 release file

1.1.0

1 release file

1.0.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page