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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

Showing 16011650 of 1773 papers

TitleStatusHype
Better Neural Machine Translation by Extracting Linguistic Information from BERTCode0
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse LanguagesCode0
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection LayerCode0
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
The Curious Case of Hallucinations in Neural Machine TranslationCode0
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search StrategiesCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource LanguagesCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPUCode0
The Ecological Footprint of Neural Machine Translation SystemsCode0
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial AttacksCode0
Augmenting Neural Machine Translation with Knowledge GraphsCode0
Neural Machine Translation: A Review and SurveyCode0
A Benchmark Dataset for Multi-Level Complexity-Controllable Machine TranslationCode0
Instance Weighting for Neural Machine Translation Domain AdaptationCode0
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languagesCode0
Integrating Multi-scale Contextualized Information for Byte-based Neural Machine TranslationCode0
Sicilian Translator: A Recipe for Low-Resource NMTCode0
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate SequencesCode0
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical TranslationCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine TranslationCode0
The Helsinki Neural Machine Translation SystemCode0
Code-Switching for Enhancing NMT with Pre-Specified TranslationCode0
Interrogating the Explanatory Power of Attention in Neural Machine TranslationCode0
Depth Growing for Neural Machine TranslationCode0
A Tulu Resource for Machine TranslationCode0
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make ItCode0
Neural Machine Translation Doesn’t Translate Gender Coreference Right Unless You Make ItCode0
Pronoun-Targeted Fine-tuning for NMT with Hybrid LossesCode0
Neural Machine Translation for English-TamilCode0
Pronoun Translation in English-French Machine Translation: An Analysis of Error TypesCode0
Prose2Poem: The Blessing of Transformers in Translating Prose to Persian PoetryCode0
Towards Making the Most of BERT in Neural Machine TranslationCode0
Neural Machine Translation For Low Resource LanguagesCode0
Neural Machine Translation for Low-Resourced Indian LanguagesCode0
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021Code0
code2seq: Generating Sequences from Structured Representations of CodeCode0
P-Transformer: Towards Better Document-to-Document Neural Machine TranslationCode0
Simple Fusion: Return of the Language ModelCode0
Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoningCode0
An Effective Approach to Unsupervised Machine TranslationCode0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMsCode0
Towards Neural Machine Translation for African LanguagesCode0
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate LayersCode0
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine TranslationCode0
Chunk-Based Bi-Scale Decoder for Neural Machine TranslationCode0
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