Metadata-Version: 2.1
Name: bodotokenizer
Version: 0.1.0
Summary: Package for Bodo Tokenizer
Home-page: https://github.com/bodonlp/bodo-tokenizer
Author: Maharaj Brahma
Author-email: mraj.brahma@gmail.com
License: MIT License
        
        Copyright (c) 2022 Bodo NLP
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
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        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
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        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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Keywords: Bodo language,Bodo Tokenizer
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

Bodo Tokenizer
==============
### About:
Bodo is one of the scheduled languages of India and belongs to the Tibeto-Burman branch of the Sino-Tibetan language family. It uses a Devanagari script like other Indian languages such as Hindi, Konkani, Maithili, Marathi, Nepali, Sanskrit, Sindhi, and Dogri. However there are some differences, this python library tokenizes Bodo sentences into its tokens that is useful for NLP tasks.

### Prerequisite:
Python 3.6+

### Installation:
```bash
git clone https://github.com/bodonlp/bodo-tokenizer.git
cd bodo-tokenizer
python setup.py install
```
### Available functions:
```python
    # Tokenize single sentence
    from bodotokenizer import tokenize
    tokenize(sentence)
```
```python
    # Tokenize sentences from a file
    # Suitable for tokenize sentences in parallel corpus
    from bodotokenizer import tokenize_file
    tokenize_file(input_file, out_file)
```
### Usage:
```python
    from bodotokenizer import tokenize
    sentence = "नोंसिनि फरायसालियाव य'गा फोरोंगुरु दङ नामा?"
    tokenized_sentence = tokenize(sentence)
    # Output: Tokenized Sentence
    # "नोंसिनि फरायसालियाव य'गा फोरोंगुरु दङ नामा ?"
```

