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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

0.1.14

This version

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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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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.10

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0.1.9

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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.8

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.7

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Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.6

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.5

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Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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0.1.4

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pythaiwordcut-0.1.14.tar.gz (219.0 kB) Copy SHA256 Checksum SHA256 Source Jul 8, 2016

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