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Word Alignment
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Word Alignment is the task of finding the correspondence between source and target words in a pair of sentences that are translations of each other.
Source: Neural Network-based Word Alignment through Score Aggregation
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kellymarchisio/ee-giza
공식 코드https://github.com/lisasiyu/cross-align
공식 코드Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
https://github.com/mainlp/dialect-BLI
공식 코드Low-resource Bilingual Dialect Lexicon Induction with Large Language Models
https://github.com/masoudjs/simalign
공식 코드https://github.com/mengcaopku/dcnet
공식 코드Correspondence Matters for Video Referring Expression Comprehension
https://github.com/mjlaali/Europarl-ConcoDisco
공식 코드Improving Discourse Relation Projection to Build Discourse Annotated Corpora
https://github.com/natspeech/natspeech
공식 코드PortaSpeech: Portable and High-Quality Generative Text-to-Speech
https://github.com/neulab/awesome-align
공식 코드Word Alignment by Fine-tuning Embeddings on Parallel Corpora
https://github.com/pangjh3/llm4mt
공식 코드Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models
https://github.com/pppa2019/swie_overmiss_llm4mt
공식 코드Improving Translation Faithfulness of Large Language Models via Augmenting Instructions
https://github.com/pytorch/fairseq
공식 코드Jointly Learning to Align and Translate with Transformer Models
https://github.com/qiyuw/wspalign
공식 코드WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction
https://github.com/qiyuw/wspalign.infereval
공식 코드WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction
https://github.com/ritwikmishra/transmucores
공식 코드Multilingual Coreference Resolution in Low-resource South Asian Languages
https://github.com/ruoyuxie/noisy_parallel_data_alignment
공식 코드https://github.com/sdongchuanqi/third-party-supervised-aligner
공식 코드https://github.com/shenyunhang/ape
공식 코드Aligning and Prompting Everything All at Once for Universal Visual Perception
https://github.com/showlab/demovlp
공식 코드Revitalize Region Feature for Democratizing Video-Language Pre-training of Retrieval
https://github.com/shuoyangd/meerkat
공식 코드Saliency-driven Word Alignment Interpretation for Neural Machine Translation
https://github.com/sufe-nlp/transformer-alignment
공식 코드Accurate Word Alignment Induction from Neural Machine Translation
https://github.com/sufenlp/accalign
공식 코드Multilingual Sentence Transformer as A Multilingual Word Aligner
https://github.com/thu-coai/NAST
공식 코드NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer
https://github.com/tomsherborne/zx-parse
공식 코드https://github.com/twadada/multilingual-nlm
공식 코드https://github.com/ubisoft/ubisoft-laforge-BinaryAlignWordAlignementasBinarySequenceLabeling
공식 코드https://github.com/uw-madison-lee-lab/walip
공식 코드Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
https://github.com/vyraun/literalness
공식 코드https://github.com/wtma/PR-Embedding
공식 코드Conversational Word Embedding for Retrieval-Based Dialog System
https://github.com/yukiar/otalign
공식 코드https://github.com/zouharvi/LeverageAlign
공식 코드https://github.com/zurichnlp/recognizing-semantic-differences
공식 코드Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents
https://github.com/AlexMoreo/funnelling
https://github.com/Babylonpartners/MultilingualFactorAnalysis
https://github.com/BramVanroy/astred
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
https://github.com/MoonInTheRiver/DiffSinger
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.