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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

Showing 14511475 of 1773 papers

TitleStatusHype
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation0
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine TranslationCode0
Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks0
Neural Machine Translation of Text from Non-Native SpeakersCode0
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing0
Regularizing Neural Machine Translation by Target-bidirectional Agreement0
D-PAGE: Diverse Paraphrase Generation0
Ancient-Modern Chinese Translation with a Large Training Dataset0
Debugging Neural Machine TranslationsCode0
code2seq: Generating Sequences from Structured Representations of CodeCode0
Neural Machine Translation Incorporating Named Entity0
KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning0
Adaptive Weighting for Neural Machine TranslationCode0
Tailoring Neural Architectures for Translating from Morphologically Rich Languages0
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features0
Neural Machine Translation with Decoding History Enhanced Attention0
Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model0
Low-Latency Neural Speech Translation0
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings0
Training Neural Machine Translation using Word Embedding-based Loss0
NMT-based Cross-lingual Document Embeddings0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
Otem&Utem: Over- and Under-Translation Evaluation Metric for NMTCode0
Recurrent Stacking of Layers for Compact Neural Machine Translation Models0
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning0
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