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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 401–450 of 1773 papers

TitleStatusHype
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text TranslationCode0
Deep Neural Machine Translation with Weakly-Recurrent UnitsCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine TranslationCode0
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware TranslatorsCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine TranslationCode0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
Depth Growing for Neural Machine TranslationCode0
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine TranslationCode0
Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMTCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine TranslationCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Pointer-based Fusion of Bilingual Lexicons into Neural Machine TranslationCode0
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!Code0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Code-Switching for Enhancing NMT with Pre-Specified TranslationCode0
code2seq: Generating Sequences from Structured Representations of CodeCode0
Pronoun Translation in English-French Machine Translation: An Analysis of Error TypesCode0
P-Transformer: Towards Better Document-to-Document Neural Machine TranslationCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse LanguagesCode0
A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme InformationCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine TranslationCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Rethinking Targeted Adversarial Attacks For Neural Machine TranslationCode0
An Evaluation of Neural Machine Translation Models on Historical Spelling NormalizationCode0
Revisiting Negation in Neural Machine TranslationCode0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
Do GPTs Produce Less Literal Translations?Code0
Chunk-Based Bi-Scale Decoder for Neural Machine TranslationCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical TranslationCode0
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine TranslationCode0
Dynamic Past and Future for Neural Machine TranslationCode0
Dynamic Multi-Branch Layers for On-Device Neural Machine TranslationCode0
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