Papers with Code 아카이브
Cross-Lingual Transfer
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 1
- 보존된 평가 기록
- 6
Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/deepset-ai/FARM
https://github.com/deterministic-algorithms-lab/Large-XLM
https://github.com/edchengg/transfusion
Frustratingly Easy Label Projection for Cross-lingual Transfer
https://github.com/eternityyw/tram-benchmark
https://github.com/facebookresearch/data2vec_vision
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
https://github.com/facebookresearch/fairseq
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition
https://github.com/facebookresearch/vizseq
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/fajri91/indommlu
https://github.com/feyzaakyurek/XLM-LwLL
https://github.com/galsang/galsang
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
https://github.com/google-deepmind/xquad
https://github.com/heraclex12/vietpunc
https://github.com/htanwar922/Language-Adversarial-Network
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
https://github.com/huggingface/transformers
https://github.com/huggingface/transformers/tree/master/src/transformers/models/byt5
ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/ikergarcia1996/Iker-Garcia-Ferrero
A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
https://github.com/ilhamfp/indonesian-text-classification-multilingual
https://github.com/imamathcat/LASER_Dependencies
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/inzva/turkish-glove
https://github.com/jeongukjae/smaller-labse
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/jiamingkong/infoxlm_paddle
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/karanwxliaa/cross-lingual-transfer-of-multilingual-models-on-low-resource-african-languages
Cross-lingual transfer of multilingual models on low resource African Languages
https://github.com/kheeong/XLM_OWN
https://github.com/kmkwon94/ainize-laser
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/langtech-bsc/langtech_tokenizers
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
https://github.com/liatb282/metaxlr
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning
https://github.com/lizhou21/cultural-compass
https://github.com/lsqdecodebox/NLP-Comptition-review
https://github.com/manshri/tesum
mT5: A massively multilingual pre-trained text-to-text transformer
https://github.com/martincjespersen/DaAnonymization
https://github.com/microsoft/unilm/tree/master/infoxlm
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
https://github.com/msr-lit/multilingualbias
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer
https://github.com/nlp-uoregon/trankit
https://github.com/nthakur20/income
Unsupervised Dense Information Retrieval with Contrastive Learning
https://github.com/opennlg/openba-v2
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.