#Computational-linguistics
Showing 10 of 10 repositories tagged #computational-linguistics, ranked by stars
🌸 Learn Japanese grammar with TypeScript
Processed / Cleaned Data for Paper Copilot
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
Language modeling and instruction tuning for Russian
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Python tutorials as Jupyter Notebooks for NLP, ML, AI
Voynich Manuscript Decoded: Elu-Sinhala Phonetic Transcription & Vocabulary Toolkit 2026
Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, at Columbia University in Fall 2020, and again at UC Berkeley in Summer 2021 and 2022.
Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.
Sentiment Analysis: Deep Bi-LSTM+attention model