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wordsegment 0.2

English word segmentation.

Latest Version: 0.3

WordSegment is an Apache2 licensed module for English word segmentation, written in pure-Python, and based on a trillion-word corpus.

Based on code from the chapter “Natural Language Corpus Data” by Peter Norvig from the book “Beautiful Data” (Segaran and Hammerbacher, 2009).

Data files are derived from the Google Web Trillion Word Corpus, as described by Thorsten Brants and Alex Franz, and distributed by the Linguistic Data Consortium. This module contains only a subset of that data. The unigram data includes only the most common 333,000 words. Similarly, bigram data includes only the most common 250,000 phrases. Every word and phrase is lowercased with punctuation removed.

Features

  • Pure-Python
  • Fully documented
  • 100% test coverage
  • Includes unigram and bigram data
  • Command line interface for batch processing
  • Easy to hack (e.g. different scoring, new data, different language)
  • Developed on Python 2.7
  • Tested on CPython 2.6, 2.7, 3.2, 3.3, 3.4 and PyPy 2.2

User Guide

Installing WordSegment is simple with pip:

> pip install wordsegment

You can access documentation in the interpreter with Python’s built-in help function:

>>> import wordsegment
>>> help(wordsegment)

In your own Python programs, you’ll mostly want to use segment to divide a phrase into a list of its parts:

>>> from wordsegment import segment
>>> segment('thisisatest')
['this', 'is', 'a', 'test']

WordSegment also provides a command-line interface for batch processing. This interface accepts two arguments: in-file and out-file. Lines from in-file are segmented iteratively, joined by a space, and written to out-file. Input and output default to stdin and stdout respectively.:

> echo thisisatest | python -m wordsegment
this is a test

API Documentation

  • segment(text)

    Return a list of words that is the best segmenation of text.

  • score(word, prev=None)

    Score a word in the context of the previous word, prev.

  • divide(text, limit=24)

    Yield (prefix, suffix) pairs from text with len(prefix) not exceeding limit.

  • unigram_counts

    Mapping of (unigram, count) pairs. Loaded from the file ‘unigrams.txt’.

  • bigram_counts

    Mapping of (bigram, count) pairs. Loaded from the file ‘bigrams.txt’.

WordSegment License

Copyright (c) 2014 Grant Jenks

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

 
File Type Py Version Uploaded on Size
wordsegment-0.2.zip (md5) Source 2014-06-06 4MB
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