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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 1041–1050 of 1773 papers

TitleStatusHype
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
Evaluating Robustness to Input Perturbations for Neural Machine Translation—0
Mirror-Generative Neural Machine Translation—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation—0
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT—0
FrameNet Annotations Alignment using Attention-based Machine Translation—0
Construction of an Evaluation Corpus for Grammatical Error Correction for Learners of Japanese as a Second Language—0
Much Ado About Nothing -- Identification of Zero Copulas in Hungarian Using an NMT Model—0
Improving NMT Quality Using Terminology Injection—0
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