Metadata-Version: 2.1
Name: codeswitch
Version: 1.0
Summary: Code Switch is a NLP tool can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.
Home-page: https://github.com/sagorbrur/codeswitch
Author: Sagor Sarker
Author-email: sagorhem3532@gmail.com
License: MIT
Description: # Code Switch
        **CodeSwitch** is a NLP tool, can use for language identification, pos tagging, name entity recognition, sentiment analysis of code mixed data.
        
        ## Supported Code-Mixed Language
        We used [LinCE](https://ritual.uh.edu/lince/home) dataset for training **multilingual BERT** model using huggingface [transformers](https://github.com/huggingface/transformers). `LinCE` has four language mixed data. We took three of it `spanish-english`, `hindi-english` and `nepali-english`. Hope we will train and add other language and task too.
        
        * Spanish-English(spa-eng)
        * Hindi-English(hin-eng)
        * Nepali-English(nep-eng)
        ### Language Code
        * `spa-eng` for spanish-english
        * `hin-eng` for hindi-english
        * `nep-eng` for nepali-english
        
        ## Installation
        ```
        pip install codeswitch
        ```
        ## Dependency
        * pytorch >=1.6.0
        
        ## Features & Supported Language
        * Language Identification
          - spanish-english
          - hindi-english
          - nepali-english
        * POS
          - spanish-english
          - hindi-english
        * NER
          - spanish-english
          - hindi-english
        
        ## Language Identification
        
        ```py
        from codeswitch.codeswitch import LanguageIdentification
        lid = LanguageIdentification('spa-eng') 
        # for hindi-english use 'hin-eng', 
        # for nepali-english use 'nep-eng'
        text = "" # your code-mixed sentence 
        result = lid.identify(text)
        print(result)
        ```
        
        ## POS Tagging
        ```py
        from codeswitch.codeswitch import POS
        pos = POS('spa-eng')
        # for hindi-english use 'hin-eng'
        text = "" # your mixed sentence 
        result = pos.tag(text)
        print(result)
        
        ```
        
        
        ## NER Tagging
        ```py
        from codeswitch.codeswitch import NER
        ner = NER('spa-eng')
        # for hindi-english use 'hin-eng'
        text = "" # your mixed sentence 
        result = ner.tag(text)
        print(result)
        
        ```
        
        ## Acknowledgement
        * [LinCE](https://ritual.uh.edu/lince/home)
        * [BERT](https://arxiv.org/abs/1810.04805)
        * [huggingface](https://github.com/huggingface)
        
        
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5
Description-Content-Type: text/markdown
