Thai Text Generator library
Project description
TTG : Thai Text Generator
[](https://colab.research.google.com/drive/1X6D8J0sWNi8UgJi7Hk5YL4FqepZ7laxS?usp=sharing]
Thai Text Generator
Install
pip install ttg
if you want used thai2fit, you can install :
pip install ttg[thai2fit]
Example
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
from thaitextgenerator import *
Unigram
we support corpus
- TNC : Thai National Corpus (Default)
- TCC : Thai Textbook Corpus
- oscar : Open Super-large Crawled ALMAnaCH coRpus
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)
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)
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
# 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.
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