texttrans 1.0.10

To computes transition probability of text

text-trans

It computes a transition probability of a text.

Description

I want to determine if a word was randomly generated. I guess that it can be determined by text transition probabilities trained from correct words.

Vertify

I trained transition probability using almost english words. I computed and compared probability for english words learned at junior high school in Japan, and randomly generated words. From the figure below, it can see that each peak is different.

Install

$ pip install texttrans

Usage

default

Transition probability is computed for English words. I use "words_alpha.txt" of dwyl/english-words to train default probability.

from texttrans.texttrans import TextTrans
p = TextTrans().prob("pen")
print(p)

0.11640052876679541

training

It prepares a text file that lists words, e.g. like below.

hogehoge
piyopiyo

It train text transtion of input text.

from texttrans.texttrans import TextTrans

train_path = "train.txt"
model_path = "model.pki"

tt1 = TextTrans(lang=None)
tt1.train(train_path= train_path, save_path= model_path)
print("p =", tt.prob("hoge"))

It computes the probability according to trained model.

tt2 = TextTrans(model_path=model_path)
print("p =", tt.prob("hoge"))

Licence

MIT

Appendix

• kyotolt22_20181109.pdf - Speaker Deck
• ランダムな文字列を判定したい - Qiita