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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 16411650 of 1773 papers

TitleStatusHype
P-Transformer: Towards Better Document-to-Document Neural Machine TranslationCode0
Simple Fusion: Return of the Language ModelCode0
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoningCode0
An Effective Approach to Unsupervised Machine TranslationCode0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMsCode0
Towards Neural Machine Translation for African LanguagesCode0
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate LayersCode0
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine TranslationCode0
Chunk-Based Bi-Scale Decoder for Neural Machine TranslationCode0
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