Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.
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Updated
Nov 5, 2024 - Python
Python library for extracting quantitative, reproducible metrics of multi-level alignment between speakers in naturalistic language corpora.
This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.
Сравнение нескольких способов представления слов для построения языковых моделей
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We will do a basic textual analysis to study the n-gram distribution of different languages, and examine a "mystery" text to determine what language it is in. We will then perform a TF-IDF analysis on that dataset.
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