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11:54
(UTC +02:00) - @ss_korol
NLP
💫 Industrial-strength Natural Language Processing (NLP) in Python
Open source annotation tool for machine learning practitioners.
A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
A Python wrapper for the RuWordNet thesaurus
Gecko - A Tool for Effective Annotation of Human Conversations
Fine-tuned Multilingual BERT and Multilingual USE for sentiment analysis in Russian. RuReviews, RuSentiment, Kaggle Russian News Dataset, LINIS Crowd, and RuTweetCorp were utilized as training data.
Russian paraphrasers. Generate paraphrases with mt5, gpt2, etc.
NLP tools for heritage collections
Простая модель расстановки запятых на основе BERT
Modified version of RusStress (https://github.com/MashaPo/russtress) — python package for placing stress in Russian text using RNN (BiLSTM) and the "Grammatical Dictionary" by A. A. Zaliznyak (from…
Accentor and transcriptor for Russian language
✔️Contextual word checker for better suggestions (not actively maintained)
Label Studio is a multi-type data labeling and annotation tool with standardized output format
A library implementing different string similarity and distance measures using Python.
Russian text normalization pipeline for speech-to-text and other applications based on tagging s2s networks
SpaCy official Russian model proposal
A sentence paraphraser based on dependency parsing and word embedding similarity.
Anthropic's educational courses