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/bigscience-workshop/promptsource
https://github.com/cindyxinyiwang/TextStyleTransfer
A Probabilistic Formulation of Unsupervised Text Style Transfer
https://github.com/clmbrs/communication-translation
Multilingual Denoising Pre-training for Neural Machine Translation
https://github.com/code-desc/codesc
https://github.com/codedotal/gpt-code-clippy
https://github.com/contextlab/abstract2paper
https://github.com/crazydigger/Callibration-of-GPT
https://github.com/csebuetnlp/CoDesc
https://github.com/cui0523/Code6/tree/main/mass
MASS: Masked Sequence to Sequence Pre-training for Language Generation
https://github.com/deterministic-algorithms-lab/Large-XLM
https://github.com/ethanjperez/true_few_shot
https://github.com/evtaktasheva/dependency_extraction
Multilingual Denoising Pre-training for Neural Machine Translation
https://github.com/facebookresearch/GENRE
Multilingual Denoising Pre-training for Neural Machine Translation
https://github.com/facebookresearch/MLQA
https://github.com/facebookresearch/TransCoder
https://github.com/facebookresearch/UnsupervisedQA
https://github.com/facebookresearch/XLM
https://github.com/facebookresearch/anli
https://github.com/feyzaakyurek/XLM-LwLL
https://github.com/freedombenLiu/MUSE
https://github.com/fshdnc/enfi-XLM
https://github.com/fywalter/label-bias
https://github.com/ggerganov/llama.cpp
https://github.com/ggml-org/llama.cpp
https://github.com/gmum/dl-mo-2021
https://github.com/grantslatton/llama.cpp
https://github.com/haiyang-w/git
https://github.com/hazyresearch/ama_prompting
https://github.com/hilberthit/gpt-3
https://github.com/hojjat-mokhtarabadi/promptsource
https://github.com/huggingface/transformers
https://github.com/hyunwoongko/asian-bart
Multilingual Denoising Pre-training for Neural Machine Translation
https://github.com/insait-institute/lm-evaluation-harness-bg
https://github.com/jiajunhua/facebookresearch-MUSE
https://github.com/jiaruncao/BioCopyMechanism
MASS: Masked Sequence to Sequence Pre-training for Language Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.