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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 351–375 of 1773 papers

TitleStatusHype
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom TranslationCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Learning to Remember Translation History with a Continuous CacheCode0
Learning to Use Future Information in Simultaneous TranslationCode0
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine TranslationCode0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
Leveraging Neural Machine Translation for Word AlignmentCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
Low-resource neural machine translation with morphological modelingCode0
Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on InuktitutCode0
Machine Translation Models are Zero-Shot Detectors of Translation DirectionCode0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
Combining Advanced Methods in Japanese-Vietnamese Neural Machine TranslationCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
Modeling Coverage for Neural Machine TranslationCode0
Cultural and Geographical Influences on Image Translatability of Words across LanguagesCode0
An Effective Approach to Unsupervised Machine TranslationCode0
A Latent Morphology Model for Open-Vocabulary Neural Machine TranslationCode0
Monolingual Embeddings for Low Resourced Neural Machine TranslationCode0
Benchmarking Machine Translation with Cultural AwarenessCode0
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