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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 726–750 of 1773 papers

TitleStatusHype
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation—0
Improving Document-Level Neural Machine Translation with Domain Adaptation—0
Improving Context-aware Neural Machine Translation with Target-side Context—0
CREAMT: Creativity and narrative engagement of literary texts translated by translators and NMT—0
Improving Character-level Japanese-Chinese Neural Machine Translation with Radicals as an Additional Input Feature—0
Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation—0
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation—0
Improving Machine Translation of Rare and Unseen Word Senses—0
Crafting Adversarial Examples for Neural Machine Translation—0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation—0
Coverage Embedding Models for Neural Machine Translation—0
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax—0
Improving Autoregressive NMT with Non-Autoregressive Model—0
Improving Autoregressive NLP Tasks via Modular Linearized Attention—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features—0
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
An approach for mistranslation removal from popular dataset for Indic MT Task—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Improving Neural Machine Translation through Phrase-based Forced Decoding—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Improving Neural Machine Translation with Neural Syntactic Distance—0
Improved Neural Machine Translation using Side Information—0
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