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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 401410 of 1773 papers

TitleStatusHype
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Deep Neural Machine Translation with Weakly-Recurrent UnitsCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware TranslatorsCode0
Code-Switching for Enhancing NMT with Pre-Specified TranslationCode0
code2seq: Generating Sequences from Structured Representations of CodeCode0
Benchmarking Machine Translation with Cultural AwarenessCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
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