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WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

Trankit ⭐ 693

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

Using Transformers from HuggingFace in R

Fastrtext ⭐ 97

R wrapper for fastText

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

Multilingual Latent Dirichlet Allocation Lda ⭐ 73

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

BERT, LDA, and TFIDF based keyword extraction in Python

Masakhane Community ⭐ 40

All our community docs! Start here! Lets put Africa on the NLP Map

Recommendation engine framework based on Wikipedia data

Plmpapers ⭐ 12

A paper list of pre-trained language models (PLMs).

SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 languages, generated using PaLM 2 and summarize-then-ask prompting.

Langdist ⭐ 10

Multilingual Language Modeling Toolkit

Sentiment_analysis_multilingual_corpora ⭐ 8

a generic approach to the supervised sentiment analysis of social media content in foreign languages

Acl20 Code Switching Patterns ⭐ 7

Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection

Unified_multilingual_dataset_of_emotional_human_utterances ⭐ 5

A unified dataset of multilingual emotional human utterances

Semeval2022 Task8 Tonyx ⭐ 5

Deep-learning system proposed by HFL for SemEval-2022 Task 8: Multilingual News Similarity

Multilingual Offensive Lexicon consists of the first contextual lexicon for abusive language detection, which is composed of 1,000 explicit and implicit terms and expressions with any pejorative connotation annotated with contextual information

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