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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 1026–1050 of 1773 papers

TitleStatusHype
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages—0
DiscreTalk: Text-to-Speech as a Machine Translation Problem—0
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation—0
Neural Machine Translation for South Africa's Official Languages—0
Evaluating Explanation Methods for Neural Machine Translation—0
Using Context in Neural Machine Translation Training Objectives—0
A Comprehensive Survey of Grammar Error Correction—0
The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT—0
Linguistically Informed Hindi-English Neural Machine Translation—0
Corpora for Document-Level Neural Machine Translation—0
Multiword Expression aware Neural Machine Translation—0
Being Generous with Sub-Words towards Small NMT Children—0
Multilingual Neural Machine Translation involving Indian Languages—0
NMT and PBSMT Error Analyses in English to Brazilian Portuguese Automatic Translations—0
ParaPat: The Multi-Million Sentences Parallel Corpus of Patents Abstracts—0
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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