https://github.com/OpenNMT/OpenNMT-tf
Guided Alignment Training for Topic-Aware Neural Machine Translation
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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/RayeRen/RayeRen
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
https://github.com/Varchita-Beena/Word-Translation-Without-Parallel-Data
https://github.com/YovaKem/generalized-procrustes-MUSE
https://github.com/ZahinAkram/Unsupervised-Neural-Machine-Translation-Bangla-To-English-English-to-Bangla-
https://github.com/ahclab/naist-simulst
https://github.com/alixxxin/multi-lang
Unsupervised Multilingual Alignment using Wasserstein Barycenter
https://github.com/amazon-research/stil-mbart-multiatis
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
https://github.com/amazon-science/multiatis
End-to-End Slot Alignment and Recognition for Cross-Lingual NLU
https://github.com/andreapdr/gfun
https://github.com/atpaino/deep-text-corrector
Addressing the Rare Word Problem in Neural Machine Translation
https://github.com/babylonhealth/MultilingualFactorAnalysis
https://github.com/bagequan/tencent-transformer-with-disagreement
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation
https://github.com/baidu-research/HNN
https://github.com/barnerwothers/MUSE
https://github.com/beinborn/SemanticDrift
https://github.com/cisnlp/simalign
https://github.com/earth-insights/ClassTrans
Aligning and Prompting Everything All at Once for Universal Visual Perception
https://github.com/edchengg/transfusion
Frustratingly Easy Label Projection for Cross-lingual Transfer
https://github.com/freedombenLiu/MUSE
https://github.com/gongshuangshuang/deep-text-corrector
Addressing the Rare Word Problem in Neural Machine Translation
https://github.com/ikergarcia1996/easy-label-projection
https://github.com/jaejunl/hyface
LRS3-TED: a large-scale dataset for visual speech recognition
https://github.com/jiajunhua/facebookresearch-MUSE
https://github.com/karlmoritz/bicvm
Multilingual Distributed Representations without Word Alignment
https://github.com/keonlee9420/PortaSpeech
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
https://github.com/labdac/charlacompling
https://github.com/ldmt-muri/alignment-with-openfst
Conditional Random Field Autoencoders for Unsupervised Structured Prediction
https://github.com/lucidrains/FLASH-pytorch
https://github.com/maochf/MUSE
https://github.com/rishikksh20/rectified-linear-attention
https://github.com/sabetAI/bucc-eval
https://github.com/sajidahmed12/CSE495-NLP-Assignment-Unsupervised-Neural-Machine-Translation
https://github.com/sambit9238/deep_text_corrector
Addressing the Rare Word Problem in Neural Machine Translation
https://github.com/samnguyen8991/Facebook-MUSE
https://github.com/sunnysinghnitb/text-corrector-software
Addressing the Rare Word Problem in Neural Machine Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.