Papers with Code 아카이브
Multimodal Machine Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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Multimodal machine translation is the task of doing machine translation with multiple data sources - for example, translating "a bird is flying over water" + an image of a bird over water to German text.
<span style="color:grey; opacity: 0.6">( Image credit: Findings of the Third Shared Task on Multimodal Machine Translation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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https://github.com/dyq0811/EEG-Transformer-seq2seq
https://github.com/dzqjorking/transpose
https://github.com/eleanorye00/Gamifier
https://github.com/emanuele-progr/PSSP
https://github.com/enhuiz/torchnmt
https://github.com/enhuiz/transformer-pytorch
https://github.com/ericperfect/Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder
https://github.com/ethancaballero/neural-engineers-first-attempt
https://github.com/eunseo1092/Graduation_project
https://github.com/ewdowiak/Sicilian_Translator
https://github.com/exa-labs/exa-mcp-server
https://github.com/extensive-nlp/TSAI-DeepNLP-END2.0
https://github.com/facebookresearch/fairseq
https://github.com/facebookresearch/xformers
https://github.com/faizansuhail89/bert
https://github.com/fanchenyou/transformer-study
https://github.com/fancyerii/bert
https://github.com/fciannel/bert_fciannel
https://github.com/feizc/Machine-Translation-Pytorch
https://github.com/felixSchober/ABSA-Transformer
https://github.com/fjiangai/mmapis
https://github.com/flxst/nerblackbox
https://github.com/flyliu2017/bert
https://github.com/flyliu2017/bert_modularized
https://github.com/fra-mari/The-Karl-Marx-Press-Review
https://github.com/frankcgq105/BERTCHEN
https://github.com/franknb/Self-attention-DCGAN
https://github.com/franknb/Text-Summarization
https://github.com/fstahlberg/tensor2tensor
https://github.com/gavincaoyuji/NLP
https://github.com/gggggeun/DeepLearning_Architecture
https://github.com/giagia96/DeepComedy
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.