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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 1551–1600 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
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Pluggable Neural Machine Translation Models via Memory-augmented AdaptersCode0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
Improving Neural Machine Translation with Conditional Sequence Generative Adversarial NetsCode0
ViNMT: Neural Machine Translation ToolkitCode0
Pointer-based Fusion of Bilingual Lexicons into Neural Machine TranslationCode0
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!Code0
Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence TransformersCode0
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine TranslationCode0
Translating the Unseen? Yoruba-English MT in Low-Resource, Morphologically-Unmarked SettingsCode0
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation ModelsCode0
Improving Robustness of Neural Machine Translation with Multi-task LearningCode0
Addressing the Vulnerability of NMT in Input PerturbationsCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMTCode0
Towards Example-Based NMT with Multi-Levenshtein TransformersCode0
Sentiment-based Candidate Selection for NMTCode0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Sentiment-based Candidate Selection for NMTCode0
Preparing the Vuk'uzenzele and ZA-gov-multilingual South African multilingual corporaCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Incorporating Discrete Translation Lexicons into Neural Machine TranslationCode0
Using Confidential Data for Domain Adaptation of Neural Machine TranslationCode0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
Do GPTs Produce Less Literal Translations?Code0
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