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Multilingual NLP
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amirabaskohi/peach
공식 코드https://github.com/andreeaiana/nase
공식 코드https://github.com/ashokurlana/pmindiasum
공식 코드PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
https://github.com/bhaddow/pmindia-crawler
공식 코드PMIndia -- A Collection of Parallel Corpora of Languages of India
https://github.com/bheinzerling/subword-sequence-tagging
공식 코드https://github.com/blazejdolicki/multilingual-analysis
공식 코드Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer
https://github.com/cambridgeltl/BLICEr
공식 코드Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
https://github.com/cambridgeltl/contrastivebli
공식 코드Improving Word Translation via Two-Stage Contrastive Learning
https://github.com/cambridgeltl/prompt4bli
공식 코드https://github.com/cambridgeltl/sail-bli
공식 코드Self-Augmented In-Context Learning for Unsupervised Word Translation
https://github.com/cisnlp/colexificationnet
공식 코드https://github.com/davidanugraha/proxylm
공식 코드ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models
https://github.com/ethanwongca/COMP396
공식 코드https://github.com/facebookresearch/XLM
공식 코드https://github.com/facebookresearch/cc_net
공식 코드https://github.com/gijswijnholds/sick_nl
공식 코드https://github.com/google-research/xtreme-up
공식 코드XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
https://github.com/hplt-project/monolingual-multilingual-instruction-tuning
공식 코드Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
https://github.com/huawei-noah/noah-research
공식 코드https://github.com/huawei-noah/noah-research/tree/master/xero_align
공식 코드https://github.com/morphdiv/jmm_diversity
공식 코드A Measure for Transparent Comparison of Linguistic Diversity in Multilingual NLP Data Sets
https://github.com/nlp-uoregon/trankit
공식 코드Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
https://github.com/ogaloglu/pre-training-multilingual-document-encoders
공식 코드https://github.com/polm/fugashi
공식 코드https://github.com/portnlp/mllms_performance
공식 코드https://github.com/sameearif/uqa
공식 코드https://github.com/sberbank-ai/DetIE
공식 코드DetIE: Multilingual Open Information Extraction Inspired by Object Detection
https://github.com/wpoelman/typ-div
공식 코드https://github.com/wpoelman/typ-div-survey
공식 코드https://github.com/yeraidm/meemi
공식 코드Improving Cross-Lingual Word Embeddings by Meeting in the Middle
https://github.com/yihongl1u/colexificationnet
공식 코드https://github.com/1-punchMan/CLTS
https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/bloom
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/bloom
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
https://github.com/AI4Bharat/indicTrans
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.