Calculate the surprisal of words in texts.

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Project description

Bikkuri

Calculate the surprisal of words in texts.

Tests pypi Version

Usage

Python

from bikkuri.ngram import NGramSurprisal


unigram_surprisal = NGramSurprisal(1)
unigram_surprisal.fit([
    ["lorem", "ipsum", "dolor", "sit", "amet", ...],
    ["convallis", "fringilla", "dignissim", "massa", ...],
    ...
])

unigram_surprisal.surprisal([["lorem", "ipsum", "dolor"]])

Rust

extern crate bikkuri;
use bikkuri::ngram::NGramSurprisal;

let mut unigram_surprisal = NGramSurprisal::new(1);
unigram_surprisal.fit(&vec![
    vec!["lorem", "ipsum", "dolor", "sit", "amet", ...],
    vec!["convallis", "fringilla", "dignissim", "massa", ...],
    ...
]);
unigram_surprisal.surprisal(&vec![vec!["lorem", "ipsum", "dolor"]]);

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0.2.0

0.2.0rc43 pre-release

0.2.0rc42 pre-release

0.2.0rc41 pre-release

0.2.0rc40 pre-release

0.2.0rc39 pre-release

0.2.0rc37 pre-release

0.2.0rc36 pre-release

0.2.0rc34 pre-release

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0.2.0rc22 pre-release

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0.2.0rc19 pre-release

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0.2.0rc15 pre-release

This version

0.2.0rc14 pre-release

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0.1.0

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