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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- 보존된 평가 기록
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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.
https://github.com/XINZXZHANG/Bert_repo
https://github.com/XUJitao/WordEmbedding
https://github.com/XapaJIaMnu/transformative
https://github.com/Xinsen-Zhang/transformer
https://github.com/XuhanLiu/Transformer
https://github.com/YYGXjpg/BERT_WL
https://github.com/Yipeng91/text_classifier_pub
https://github.com/YuanEric88/bert-nlu
https://github.com/Zehui127/SQUAD_BERT
https://github.com/ZmeiGorynych/transformer_pytorch
https://github.com/ZurichNLP/sockeye
https://github.com/a414351664/Bert_MRC
https://github.com/aaronH45/sentimentAnalysis
https://github.com/aayushbansal/Recycle-GAN
https://github.com/abhaskumarsinha/Keras-implementation-of-Transformer-Architecture
https://github.com/abhaskumarsinha/Keras-implementation-of-Transformer-Architecture/blob/main/Transformer.py
https://github.com/abhaskumarsinha/MinimalGPT
https://github.com/abhiagg92/bert_sentiment
https://github.com/abhilashreddys/Fake-News-Article
https://github.com/abmitra84/Machine_Translation
https://github.com/adi2103/AML-CoVe
https://github.com/af-ai-center/bert
https://github.com/af-ai-center/nerblackbox
https://github.com/agentdr1/la_mil
https://github.com/ahmetumutdurmus/awd-lstm
https://github.com/ahsanabbas123/Transformer
https://github.com/akanyaani/minGPTF
https://github.com/akashe/Python-Code-Generation
https://github.com/algharak/BERTenhance
https://github.com/alibaba-damo-academy/FunASR
https://github.com/alibabasglab/frcrn
https://github.com/alililia/ms_contrib/tree/main/ascend_transformer
https://github.com/alililia/ms_contrib/tree/main/gpu_transformer
https://github.com/alimpiev/embeddings_persistent_homology
https://github.com/anhinga/JuliaCon2021-poster
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.