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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 1551–1575 of 1773 papers

TitleStatusHype
Multilingual Neural Machine Translation With Soft Decoupled EncodingCode0
Towards Accurate Translation via Semantically Appropriate Application of Lexical ConstraintsCode0
Improving Back-Translation with Uncertainty-based Confidence EstimationCode0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
Paying Attention to Multi-Word Expressions in Neural Machine TranslationCode0
Multilingual NMT with a language-independent attention bridgeCode0
PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine TranslationCode0
Combining Advanced Methods in Japanese-Vietnamese Neural Machine TranslationCode0
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic TranscriptsCode0
Phrase-Based & Neural Unsupervised Machine TranslationCode0
Multimodal Machine Translation with Embedding PredictionCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Semantic Neural Machine Translation using AMRCode0
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text TranslationCode0
Translating Pro-Drop Languages with Reconstruction ModelsCode0
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative DecodingCode0
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language ModelsCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
PhraseTransformer: An Incorporation of Local Context Information into Sequence-to-sequence Semantic ParsingCode0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
Multiscale Collaborative Deep Models for Neural Machine TranslationCode0
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search DegradationCode0
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