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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/gabriel819/zeroshot_ner
공식 코드Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
https://github.com/ghchen18/acl22-sixtp
공식 코드Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation
https://github.com/ghchen18/emnlp2021-sixt
공식 코드Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
https://github.com/google-research/bleurt
공식 코드https://github.com/google-research/byt5
공식 코드ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/google-research/multilingual-t5
공식 코드mT5: A massively multilingual pre-trained text-to-text transformer
https://github.com/google-research/prompt-tuning
공식 코드Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
https://github.com/google-research/xtreme
공식 코드XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
https://github.com/gouwsmeister/bilbowa
공식 코드BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
https://github.com/gucci-j/lowres-cva
공식 코드How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?
https://github.com/gucci-j/lowres-cve
공식 코드How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?
https://github.com/hansd410/cross-lingfnd
공식 코드Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource Language
https://github.com/hanzhou032/xqa-dst
공식 코드XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking
https://github.com/hassanmojab/metanli
공식 코드Persian Natural Language Inference: A Meta-learning approach
https://github.com/himanshubeniwal/x-bat
공식 코드Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs
https://github.com/huawei-noah/noah-research
공식 코드Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
https://github.com/huawei-noah/noah-research/tree/master/NLP/cross_aligner
공식 코드https://github.com/huaxiuyao/wild-time
공식 코드Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
https://github.com/huhailinguist/ChineseNLIProbing
공식 코드https://github.com/huhailinguist/colac
공식 코드https://github.com/hwijeen/OffensEval2020
공식 코드NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer
https://github.com/hwijeen/langrank
공식 코드https://github.com/hynky1999/czech-news-classification-dataset
공식 코드A Dataset and Strong Baselines for Classification of Czech News Texts
https://github.com/ibraheem-moosa/xlm-indic
공식 코드https://github.com/ikergarcia1996/Easy-Translate
공식 코드Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
https://github.com/ikergarcia1996/MVM-Embeddings
공식 코드A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings
https://github.com/ikergarcia1996/annotation-projection-app
공식 코드Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
https://github.com/ikergarcia1996/easy-label-projection
공식 코드Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
https://github.com/ikergarcia1996/t-projection
공식 코드T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
https://github.com/illdepence/cross-lingual-citations-from-en
공식 코드Cross-Lingual Citations in English Papers: A Large-Scale Analysis of Prevalence, Usage, and Impact
https://github.com/inigo-jauregi/t3l
공식 코드T3L: Translate-and-Test Transfer Learning for Cross-Lingual Text Classification
https://github.com/iq-kaist/rm-lingual-transfer
공식 코드Cross-lingual Transfer of Reward Models in Multilingual Alignment
https://github.com/ivanvykopal/adapter-prompt-evaluation
공식 코드https://github.com/janekh24/anhalten
공식 코드ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection
https://github.com/jbarnesspain/fine-grained_cross-lingual_emotion
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.