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Simple Thai Wordcut in Python using Maximum Matching

Project Description
# pythaiwordcut - Thai Wordcut in Python

A simple Thai wordcut written in Python, based on Maximum Matching algorithm by [S. Manabu](http://www.aclweb.org/anthology/E14-4016)
. Uses Lexitron (by [NECTEC](http://www.sansarn.com/lexto/license-lexitron.php)) dictionary as default

> Please note: This project is under development and should not be use in production , all function and interface are subject to change. If you have issue or suggestion please feel free to ask, contribution is also very welcome :)

## Installation

```
pip install pythaiwordcut
```

or

```
git clone https://github.com/zenyai/pythaiwordcut.git
python setup.py install
```

## Usage
```
import pythaiwordcut as pwt

pt = pwt.wordcut(removeRepeat=True, stopDictionary="<full path to txt file>", removeSpaces=True, minLength=1, stopNumber=False, removeNonCharacter=False, caseSensitive=True, ngram=(1, 2), negation=False)
print "|".join(pt.segment(u'ทดสอบการตัดคำ'))
```

* removeRepeat: remove intention insertion spelling error such as (สบายยยยยย)
* stopDictionary: remove word that exist in this specify text file (one word one line)
* removeSpaces: remove blank space
* minLength: minimum length of each word
* stopNumber: remove number if exist
* removeNonCharacter: remove character that are not Thai or English character
* caseSensitive: if set to false, will remove stop word without regarding the case
* ngram: Add word ngram from (1, 2)
* negation: If set to true, then it will add NOT_ to every word after negation word and space
Release History

Release History

This version
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0.1.14

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0.1.13

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0.1.12

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0.1.11

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0.1.10

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0.1.9

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0.1.8

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0.1.7

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0.1.6

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0.1.5

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0.1.4

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