https://github.com/tnq177/improving_lexical_choice_in_nmt
Incorporating Discrete Translation Lexicons into Neural Machine Translation
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NMT
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Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tnq177/nmt_text_from_non_native_speaker
https://github.com/ubc-nlp/coling2022
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked Settings
https://github.com/ucam-smt/sgnmt
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies
https://github.com/ufal/nmt-pe-effects-2021
Neural Machine Translation Quality and Post-Editing Performance
https://github.com/uzi0espil/research-papers-implementation/tree/master/Effective%20Approaches%20to%20Attention-based%20Neural%20Machine%20Translation
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/vGkatsis/Chat_Bot_DL
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/varun-bhaseen/Image-caption-generation-using-attention-model
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/vchopin/GNMT_v2
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
https://github.com/venkat-ravilla/DAP
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
https://github.com/vikua/keras-attention-models
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/violet-zct/fairseq-detect-hallucination
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks
https://github.com/virsagothethird/Korean-English-translator
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
https://github.com/vivekgohel56/Neural-machine-translation-english-to-polish
https://github.com/wangmz15/Chinese-Error-Correction-with-THUMT
THUMT: An Open Source Toolkit for Neural Machine Translation
https://github.com/windsuzu/Enhance-Chinese-to-Japanese-Neural-Machine-Translation
https://github.com/windsuzu/improving-NMT-ch-jp
https://github.com/xiaoyuin/tntspa
https://github.com/xuanlinli17/autoregressive_inference
https://github.com/ye-kyaw-thu/myword
Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT
https://github.com/ykrmm/ICLR_2020
https://github.com/ykrmm/TREMBA
https://github.com/yuekai146/NMT
Revisiting Low-Resource Neural Machine Translation: A Case Study
https://github.com/yukio326/gan-nmt
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets
https://github.com/yukio326/reconstructor-nmt
English-Japanese Neural Machine Translation with Encoder-Decoder-Reconstructor
https://github.com/yunsukim86/sockeye-noise
https://github.com/yurayli/stanford-cs224n-sol
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models
https://github.com/zepx/pytorch-weight-prune
Compression of Neural Machine Translation Models via Pruning
https://github.com/zxy14120448/Summary
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.