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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 681–690 of 1773 papers

TitleStatusHype
Data augmentation using back-translation for context-aware neural machine translation—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation—0
Data Augmentation for Sign Language Gloss Translation—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation—0
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification—0
A Comprehensive Survey of Grammar Error Correction—0
A Character-Aware Encoder for Neural Machine Translation—0
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
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