Simple multilingual lemmatizer for Python, especially useful for speed and efficiency

This repository contains the code and data of the paper titled "Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation" published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16 - November 20, 2020.

Language Identification with Support for More Than 2000 Labels -- EMNLP 2023

AfriSenti-SemEval Shared Task 12: Sentiment Analysis for African languages : https://afrisenti-semeval.github.io/

NLP pipelines for Tagalog using spaCy

Code and datasets for the ACL 2021 paper "OntoED: Low-resource Event Detection with Ontology Embedding"

[SIGIR 2023] Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction

This is a repository for NaijaSenti. A Lacuna Funded Project for the development of sentiment corpus for four Nigerian languages: Igbo, Hausa, Yoruba and Pidgin.

A Scandinavian Benchmark for sentence embeddings

Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction

A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.

[ACL'24] MC^2: A Multilingual Corpus of Minority Languages in China (Tibetan, Uyghur, Kazakh, and Mongolian)

[ACL'24 Findings] Teaching Large Language Models an Unseen Language on the Fly

Code for paper "ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models"

This repository contains the code, data, and associated models of the paper titled "BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset", accepted in Proceedings of the Asia-Pacific Chapter of the Association for Computational Linguistics: AACL 2022.

Pashto Natural Language Processing Toolkit

Chatbot Solution for Resource-Poor Languages. Contains code and data for Journal Article 'Focused domain contextual AI chatbot framework for resource poor languages'.

Enhanced awesome-align for low-resource languages and noise simulation: https://arxiv.org/abs/2301.09685

This is an official Leaderboard for the RuSentRel-1.1 dataset originally described in paper (arxiv:1808.08932)

Awesome Lao Natural Language Processing