Metadata-Version: 2.1
Name: ttg
Version: 0.1.dev2
Summary: Thai Text Generator library
Home-page: https://github.com/pythainlp/Thai-Text-Generator
Author: Wannaphong Phatthiyaphaibun
Author-email: wannaphong@kkumail.com
License: Apache Software License 2.0
Description: # TTG : Thai Text Generator
        Thai Text Generator
        
        ## Install
        
        ```sh
        pip install ttg
        ```
        
        if you want used thai2fit, you can install :
        ```sh
        pip install ttg[thai2fit]
        ```
        
        ## Example
        
        ```python
        from thaitextgenerator import *
        a=Unigram()
        print(a.gen_sentence(N=10))
        b=Bigram()
        print(b.gen_sentence(start_seq="คน", N=10))
        c=Tigram()
        c.gen_sentence(N=10, start_seq=("คน","ดี"))
        # Thai2Fit
        from thaitextgenerator.thai2fit import gen_sentence
        gen_sentence()
        ```
        
        ## Docs
        
        ### N-Gram
        **import**
        ```python
        from thaitextgenerator import *
        ```
        #### Unigram
        
        we support corpus
        
        - TNC : Thai National Corpus (Default)
        - TCC : Thai Textbook Corpus
        - oscar : Open Super-large Crawled ALMAnaCH coRpus
        
        ```python
        Unigram(name = "tnc or tcc or oscar")
        
        Unigram().gen_sentence(N:int=3,prob:float=0.001, start_seq:str=None ,output_str:bool = True, duplicate:bool=False)
        ```
        
        #### Bigram
        
        we support corpus
        
        - TNC : Thai National Corpus (Default)
        
        ```python
        Bigram(name = "tnc")
        
        Bigram().gen_sentence(N:int=4,prob:float=0.001, start_seq:str=None, output_str:bool = True, duplicate:bool=False)
        ```
        
        #### Tigram
        
        we support corpus
        
        - TNC : Thai National Corpus (Default)
        
        ```python
        Tigram(name = "tnc")
        
        Bigram().gen_sentence(N:int=4,prob:float=0.001, start_seq:tuple=None, output_str:bool = True, duplicate:bool=False)
        ```
        
        ### Thai2Fit
        ```python
        # Thai2Fit
        from thaitextgenerator.thai2fit import gen_sentence
        en_sentence(N:int=4,prob:float=0.001, start_seq:str=None, output_str:bool = True)
        ```
        
        ## License
        ```
           Copyright 2020 Wannaphong Phatthiyaphaibun
        
           Licensed under the Apache License, Version 2.0 (the "License");
           you may not use this file except in compliance with the License.
           You may obtain a copy of the License at
        
               http://www.apache.org/licenses/LICENSE-2.0
        
           Unless required by applicable law or agreed to in writing, software
           distributed under the License is distributed on an "AS IS" BASIS,
           WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
           See the License for the specific language governing permissions and
           limitations under the License.
        ```
Keywords: NLP,natural language processing,text analytics,text processing,localization,computational linguistics,ThaiNLP,Thai NLP,Thai language
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: Thai
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: General
Classifier: Topic :: Text Processing :: Linguistic
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: thai2fit
