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Machine Translation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 10
평가표: 84
보존된 평가 기록: 438

Machine translation is the task of translating a sentence in a source language to a different target language.

Approaches for machine translation can range from rule-based to statistical to neural-based. More recently, encoder-decoder attention-based architectures like BERT have attained major improvements in machine translation.

One of the most popular datasets used to benchmark machine translation systems is the WMT family of datasets. Some of the most commonly used evaluation metrics for machine translation systems include BLEU, METEOR, NIST, and others.

<span style="color:grey; opacity: 0.6">( Image credit: Google seq2seq )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

Machine Translation

코드

https://github.com/flipz357/amr-metric-suite

https://github.com/float256/rectified-adam-keras

https://github.com/floydhub/word-language-model

https://github.com/flxst/nerblackbox

https://github.com/flyliu2017/bert

https://github.com/flyliu2017/bert_modularized

https://github.com/fqyshelly/CS224n-Winter2019-assignment-solutions

https://github.com/fra-mari/The-Karl-Marx-Press-Review

https://github.com/francescodisalvo05/66DaysOfData

https://github.com/frankcgq105/BERTCHEN

https://github.com/franknb/Self-attention-DCGAN

https://github.com/franknb/Text-Summarization

https://github.com/fredxlpy/cross_lingual_prompt_tuning

https://github.com/freedombenLiu/MUSE

https://github.com/freedombenLiu/speech-to-text-wavenet

https://github.com/freeflyxiaoma/pycorrector

https://github.com/frgfm/Holocron

https://github.com/frozentoad9/Neural-Machine-Translation

https://github.com/fshdnc/enfi-XLM

https://github.com/fstahlberg/tensor2tensor

https://github.com/fstahlberg/tensor2tensor-usr

https://github.com/fushengwuyu/R-Drop

https://github.com/fwbrandao/Abstractive_Summarisation

https://github.com/fywalter/label-bias

https://github.com/g1910/HyperNetworks

https://github.com/gabinsane/multi-vaes-in-robotics

https://github.com/gabinsane/multimodal-vae-comparison

https://github.com/gabrielStanovsky/mt_gender

https://github.com/gahaalt/continual-learning-overview

https://github.com/gahaalt/continual-learning-with-hypernets

https://github.com/gavincaoyuji/NLP

https://github.com/gcambara/cape

https://github.com/gentaiscool/end2end-asr-pytorch

https://github.com/ggerganov/llama.cpp

https://github.com/gggggeun/DeepLearning_Architecture

https://github.com/ggml-org/llama.cpp