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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 1451–1475 of 1773 papers

TitleStatusHype
On the Copying Behaviors of Pre-Training for Neural Machine TranslationCode0
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator LossCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
Doubly-Trained Adversarial Data Augmentation for Neural Machine TranslationCode0
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation DataCode0
On the Difficulty of Translating Free-Order Case-Marking LanguagesCode0
Calibrating Translation Decoding with Quality Estimation on LLMsCode0
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained EncodersCode0
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine TranslationCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
A Token-level Contrastive Framework for Sign Language TranslationCode0
Consistency by Agreement in Zero-shot Neural Machine TranslationCode0
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine TranslationCode0
Modeling Baroque Two-Part Counterpoint with Neural Machine TranslationCode0
Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual PerspectiveCode0
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine TranslationCode0
Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual TranslationCode0
Transfer Learning for Low-Resource Neural Machine TranslationCode0
On the Importance of Word Boundaries in Character-level Neural Machine TranslationCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Modeling Coverage for Neural Machine TranslationCode0
Compression of Neural Machine Translation Models via PruningCode0
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