wordsegmentation 0.3

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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 2.5+, PyPy3 2.4+

Quickstart

Installing WordSegment is simple with pip:

$ pip install wordsegmentation

Tutorial

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

>>> from wordsegmentation import Wordsegment
>>> ws = WordSegment(use_google_corpus=True)

>>> ws.segment('universityofwashington')
['university', 'of', 'washington']
>>> ws.segment('thisisatest')
['this', 'is', 'a', 'test']
>>> segment('thisisatest')
['this', 'is', 'a', 'test']

WordSegment License

Copyright 2015 Weihan Jiang

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.