Papers with Code 아카이브
Cross-Lingual
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Cross-lingual natural language processing is the task of 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/jeremyleiliu/xlingudial
공식 코드https://github.com/jinanzou/astock
공식 코드Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
https://github.com/jitinkrishnan/transliteration-hindi-malayalam
공식 코드Cross-Lingual Text Classification of Transliterated Hindi and Malayalam
https://github.com/joelniklaus/swissjudgementprediction
공식 코드An Empirical Study on Cross-X Transfer for Legal Judgment Prediction
https://github.com/joungheekim/k-wav2vec
공식 코드K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables
https://github.com/jxhe/cross-lingual-struct-flow
공식 코드Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections
https://github.com/kaniblu/hanja-sisg
공식 코드Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
https://github.com/kathyhaem/multiling-moral-bias
공식 코드Speaking Multiple Languages Affects the Moral Bias of Language Models
https://github.com/kaushal0494/ZmBART
공식 코드ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation
https://github.com/kaushal0494/meta_xnlg
공식 코드https://github.com/kb-ding/ear
공식 코드A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning
https://github.com/kgnlp/allophant
공식 코드Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes
https://github.com/khuangaf/concrete
공식 코드CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval
https://github.com/kinit-sk/adapter-prompt-evaluation
공식 코드https://github.com/klogar/qaslovene
공식 코드https://github.com/kmkurn/ppt-eacl2021
공식 코드PPT: Parsimonious Parser Transfer for Unsupervised Cross-Lingual Adaptation
https://github.com/kmkurn/uxtspwsd
공식 코드Unsupervised Cross-Lingual Transfer of Structured Predictors without Source Data
https://github.com/knoriy/CLARA
공식 코드CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition
https://github.com/kolk/low-resource-tableqa-indic-languages
공식 코드https://github.com/kyle1668/llm-tta
공식 코드https://github.com/l3cube-pune/MarathiNLP
공식 코드BERT or FastText? A Comparative Analysis of Contextual as well as Non-Contextual Embeddings
https://github.com/laiguokun/xlu-data
공식 코드Bridging the domain gap in cross-lingual document classification
https://github.com/lanwuwei/GigaBERT
공식 코드An Empirical Study of Pre-trained Transformers for Arabic Information Extraction
https://github.com/leia-llm/leia
공식 코드https://github.com/lersouza/language-transfer
공식 코드https://github.com/lightchen233/gl-clef
공식 코드https://github.com/luka-group/prix-lm
공식 코드Prix-LM: Pretraining for Multilingual Knowledge Base Construction
https://github.com/lxucs/multilingual-sl
공식 코드Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
https://github.com/machelreid/afromt
공식 코드AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages
https://github.com/macleginn/exploring-clmd-divergences
공식 코드Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences
https://github.com/mainlp/convert-la-murrekorpus
공식 코드https://github.com/mainlp/convert-qcri-4dialects
공식 코드https://github.com/mainlp/convert-restaure-occitan
공식 코드https://github.com/mainlp/noisydialect
공식 코드https://github.com/mainlp/ud_norwegian-nynorsklia_dialect
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.