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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 251–275 of 1773 papers

TitleStatusHype
An Effective Approach to Unsupervised Machine TranslationCode0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
First the worst: Finding better gender translations during beam searchCode0
Monolingual and Parallel Corpora for Kangri Low Resource LanguageCode0
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual TranslationCode0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
Adaptive Weighting for Neural Machine TranslationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Augmenting Neural Machine Translation with Knowledge GraphsCode0
Examining the Tip of the Iceberg: A Data Set for Idiom TranslationCode0
Ensembling Factored Neural Machine Translation Models for Automatic Post-Editing and Quality EstimationCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
A Tulu Resource for Machine TranslationCode0
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