Papers with Code 아카이브
Unsupervised Machine Translation
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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/Kelechukwu1/PidginUNMT
https://github.com/MS-P3/code7/tree/main/xlm
https://github.com/MS-P3/code7/tree/main/xlm_roberta
https://github.com/MaratSaidov/source-code-summarization
https://github.com/Mind23-2/MindCode-138
https://github.com/MindSpore-paper-code-3/code9/tree/main/mass
MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/MiuGod0126/ConvS2S_Paddle
https://github.com/NVIDIA/NeMo-Curator
https://github.com/OctopusNO1/Artificial-Intelligence-Guide
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/gpt-3
https://github.com/RUCAIBox/LLMBox
https://github.com/Samyu0304/thought-propagation
https://github.com/Somefive/XNLI
https://github.com/StuartCHAN/KARL
https://github.com/Sypherd/lm-evaluation-harness
https://github.com/Tikquuss/meta_XLM
https://github.com/VachanVY/gpt.jax
https://github.com/Varchita-Beena/Word-Translation-Without-Parallel-Data
https://github.com/YonoHub/Model-Implementation-and-Training
https://github.com/YovaKem/generalized-procrustes-MUSE
https://github.com/ZahinAkram/Unsupervised-Neural-Machine-Translation-Bangla-To-English-English-to-Bangla-
https://github.com/abhaskumarsinha/Corpus2GPT
https://github.com/abhaskumarsinha/MinimalGPT
https://github.com/ai21labs/lm-evaluation
https://github.com/alixxxin/multi-lang
Unsupervised Multilingual Alignment using Wasserstein Barycenter
https://github.com/allenai/macaw
https://github.com/andreapdr/gfun
https://github.com/artetxem/phrase2vec
https://github.com/asahi417/lmppl
https://github.com/asahi417/relbert
https://github.com/avmb/marian-mbart
Multilingual Denoising Pre-training for Neural Machine Translation
https://github.com/babylonhealth/MultilingualFactorAnalysis
https://github.com/baidu-research/HNN
https://github.com/barnerwothers/MUSE
https://github.com/beinborn/SemanticDrift
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.