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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
Improving Document-Level Neural Machine Translation with Domain Adaptation—0
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?—0
Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag—0
Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language—0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques—0
Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation—0
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation—0
Improving Machine Translation of Rare and Unseen Word Senses—0
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation—0
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax—0
Exploiting Deep Representations for Neural Machine Translation—0
Code-switching pre-training for neural machine translation—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back 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
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting—0
Ask Language Model to Clean Your Noisy Translation Data—0
Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language—0
Improving Neural Machine Translation through Phrase-based Forced Decoding—0
Incorporating translation quality estimation into Chinese-Korean neural machine translation—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Improving Neural Machine Translation with Neural Syntactic Distance—0
A Large-Scale Study of Machine Translation in the Turkic Languages—0
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