https://github.com/Imagist-Shuo/UNMT-SPR
공식 코드Unsupervised Neural Machine Translation with SMT as Posterior Regularization
Papers with Code 아카이브
Unsupervised Machine Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 9
- 보존된 평가 기록
- 40
Unsupervised machine translation is the task of doing machine translation without any translation resources at training time.
<span style="color:grey; opacity: 0.6">( Image credit: Phrase-Based & Neural Unsupervised Machine Translation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alexandra-chron/umt-lmu-wmt2020
공식 코드The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task
https://github.com/artetxem/monoses
공식 코드https://github.com/artetxem/undreamt
공식 코드https://github.com/artetxem/vecmap
공식 코드https://github.com/bbrimacombe/quick-back-translation
공식 코드https://github.com/bert-nmt/bert-nmt
공식 코드https://github.com/chanzy3/11747_Final_Project
공식 코드Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation
https://github.com/cindyxinyiwang/deep-latent-sequence-model
공식 코드A Probabilistic Formulation of Unsupervised Text Style Transfer
https://github.com/facebookresearch/CodeGen
공식 코드https://github.com/facebookresearch/MUSE
공식 코드https://github.com/facebookresearch/UnsupervisedMT
공식 코드https://github.com/google-research/url-nlp
공식 코드Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation
https://github.com/koustavagoswami/weakly_supervised-cognate_detection
공식 코드https://github.com/leukas/wmt21
공식 코드https://github.com/meganndare/cantonese-nlp
공식 코드https://github.com/michiyasunaga/bifi
공식 코드https://github.com/microsoft/MASS
공식 코드MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/nxphi47/multiagent_crosstranslate
공식 코드Cross-model Back-translated Distillation for Unsupervised Machine Translation
https://github.com/nxphi47/refine_unsup_multilingual_mt
공식 코드Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Model
https://github.com/openai/gpt-3
공식 코드https://github.com/orrp/theory-of-umt
공식 코드A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
https://github.com/pytorch/fairseq/tree/master/examples/criss
공식 코드Cross-lingual Retrieval for Iterative Self-Supervised Training
https://github.com/pytorch/fairseq/tree/master/examples/mbart
공식 코드Multilingual Denoising Pre-training for Neural Machine Translation
https://github.com/rsennrich/subword-nmt
공식 코드https://github.com/whaleloops/interpoetry
공식 코드https://github.com/1-punchMan/CLTS
https://github.com/2023-MindSpore-1/ms-code-169
https://github.com/AlexMoreo/funnelling
https://github.com/AmrHendy/programming-language-translator
https://github.com/Babylonpartners/MultilingualFactorAnalysis
https://github.com/EightRice/atn_GPT-3
https://github.com/EleutherAI/gpt-neo
https://github.com/EleutherAI/lm-evaluation-harness
https://github.com/EleutherAI/lm_evaluation_harness
https://github.com/Helsinki-NLP/shared-info
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.