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#Tokenex - An extended cross language, cross platform, flexible tokenizer. Thang Duong (issues: e-mail me [email protected])

#tl;dr; Here are some selling points:

  • Configurable. It's configurable to remove space, leave space, use regex, don't use regex, and, in the near future, use your own list of words and regex.
  • By default, it's does some simple regex. For example, numbers to , ordinals to , etc.
  • Works in C++, Python, C#.
  • Has some tools to tokenize training data.

Hello, Tokenex!

Download v0.1 package here: https://dlwteam.visualstudio.com/6894e6c5-e313-4afd-9c46-95fbfd40a7a8/_api/_versioncontrol/itemContent?repositoryId=e6217287-ad4a-452a-b169-a75286a95971&path=%2Fdist%2Ftokenex-0.1-py3-none-any.whl&version=GBmaster&contentOnly=false&__v=5

Go to where you downloaded it and run:

sudo pip3 install tokenex-0.1-py3-none-any.whl

For Python3

Using the default config

from tokenex.tokenizer as Tokenizer
t = Tokenizer()
t.tokenize('hello, world')

Keep space and don't use regex

from tokenex.tokenizer as Tokenizer
t = Tokenizer(3)
t.tokenize('hello, world')

##Everything below here requires checking out the repo

To play with this:

Shell Test App

cd tokenex ./test "hello===world! It is about to be 2018! We are one year closer to 2020. I hope the 2020s will be better than 2010s"

Python

cd tokenex python test.py "hello===world! It is about to be 2018! We are one year closer to 2020. I hope the 2020s will be better than 2010s"

C# Test App

cd tokenex tokenizercsTest.exe "hello===world! It is about to be 2018! We are one year closer to 2020. I hope the 2020s will be better than 2010s"

The output should look something like this:

hello === world ! It is about to be ! We are one year closer to . I hope the will be better than

How to use the Python API?

Add the ./tokenex directory to your PYTHONPATH environment variable.

(in Linux)

export PYTHONPATH=$PYTHONPATH:./tokenex

(in Windows)

set PYTHONPATH=%PATH%:./tokenex

See ./tokenex/test.py for an example.

To use the default tokenizer settings:

import tokenizer as t
tok = t.Tokenizer(0)                           # config option 0 is standard
tokens = tok.tokenize("hello, world!")
print(' '.join(tokens))

This version will discard space, \r, \n, \t, etc. and it will automatically translit from UTF-8 to ASCII.

To just tokenize and keep everything unchanged:

import tokenizer as t
tok = t.Tokenizer(3)                           # config option 3 keeps everything
tokens = tok.tokenize("hello, world!")
print(' '.join(tokens))

For additional details, see the class definition in tokenex/tokenizer.py.

How to use the C# API?

Reference tokenizerCS package (.\tokenex\tokenizerCS.dll)

using Tokenizex;

Then:

Tokenizer tok = new Tokenizer(0);           // change this config option to 3 to keep everything
var result = tok.TokenizeEx("hello, world!");
foreach (var token in result)
        System.Console.WriteLine("{0}", token);

How to tokenize a large txt training data file?

Use the program .\tokenex\tokenize.exe (or ./tokenex/tokenize for Linux).

In Linux (and it should be similar in Windows):

./tokenex/tokenize >

Relevant subdirectories:

  1. libtokenizer The core tokenization code. When compiled, it generates a .lib in Windows, and a .a in Linux.

  2. tokenex A snapshot of compiled output for both Windows and Linux.

  3. tokenize A program to tokenize text files.

  4. tokenizer A wrapper around libtokenizer to create dynamic library (.DLL in Winodws, .so in Linux).

  5. tokenizercs A C# wrapper around tokenizer dynamic library.

  6. tokenizercsTest A test C# app demonstrating how to use tokenizercs.

Building in Windows

  • Load tokenex.sln, and build all.

Building in Linux

(assuming you're already in the base directory)

make

Then check the ./bin directory for output files

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flexible tokenizer for NLP

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