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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

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Showing 1001–1010 of 1773 papers

TitleStatusHype
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT—0
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language—0
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts—0
OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation—0
Multiword Expression aware Neural Machine Translation—0
FrameNet Annotations Alignment using Attention-based Machine Translation—0
Benchmarking Multidomain English-Indonesian Machine TranslationCode1
Evaluating Robustness to Input Perturbations for Neural Machine Translation—0
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
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