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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 351–400 of 1773 papers

TitleStatusHype
Finding Better Subword Segmentation for Neural Machine TranslationCode0
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource TranslationCode0
Adapting Multilingual Neural Machine Translation to Unseen LanguagesCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Adaptive Weighting for Neural Machine TranslationCode0
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine TranslationCode0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
Majority Voting with Bidirectional Pre-translation For Bitext RetrievalCode0
A Study of Reinforcement Learning for Neural Machine TranslationCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Monolingual and Parallel Corpora for Kangri Low Resource LanguageCode0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
Morphological and Language-Agnostic Word Segmentation for NMTCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
An Effective Approach to Unsupervised Machine TranslationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Multi-Class Grammatical Error Detection for Correction: A Tale of Two SystemsCode0
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Multi-level Community-awareness Graph Neural Networks for Neural Machine TranslationCode0
Multilingual Extractive Reading Comprehension by Runtime Machine TranslationCode0
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
Combining Advanced Methods in Japanese-Vietnamese Neural Machine TranslationCode0
Multimodal Machine Translation with Embedding PredictionCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Neural Machine Translation For Low Resource LanguagesCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
Neural Machine Translation Models with Back-Translation for the Extremely Low-Resource Indigenous Language BribriCode0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
Addressing the Vulnerability of NMT in Input PerturbationsCode0
Neural Machine Translation Techniques for Named Entity TransliterationCode0
Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMTCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Encoder-Decoder Shift-Reduce Syntactic ParsingCode0
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial ApproachCode0
Benchmarking Machine Translation with Cultural AwarenessCode0
End-to-End Training for Back-Translation with Categorical Reparameterization TrickCode0
Efficient k-Nearest-Neighbor Machine Translation with Dynamic RetrievalCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
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