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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 13511400 of 1773 papers

TitleStatusHype
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation0
An In-depth Walkthrough on Evolution of Neural Machine Translation0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task0
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task0
A Parallel Corpus of Theses and Dissertations Abstracts0
Approches quantitatives de l'analyse des prédictions en traduction automatique neuronale (TAN)0
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings0
A Primer in NMTology: What we have understood about NMT0
A Pronoun Test Suite Evaluation of the English--German MT Systems at WMT 20180
AR: Auto-Repair the Synthetic Data for Neural Machine Translation0
Are BLEU and Meaning Representation in Opposition?0
Are BLEU and Meaning Representation in Opposition?0
Are Ellipses Important for Machine Translation?0
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models0
A Review of Discourse-level Machine Translation0
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning0
A Simple and Effective Approach to Coverage-Aware Neural Machine Translation0
A Simple and General Strategy for Referential Problem in Low-Resource Neural Machine Translation0
Ask Language Model to Clean Your Noisy Translation Data0
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models0
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors0
A study of attention-based neural machine translation model on Indian languages0
A Study of Multilingual Neural Machine Translation0
A Study of Non-autoregressive Model for Sequence Generation0
A Survey of Domain Adaptation for Neural Machine Translation0
A Survey on Low-Resource Neural Machine Translation0
Asymptotically Smaller Encodings for Graph Problems and Scheduling0
Asynchronous and Segmented Bidirectional Encoding for NMT0
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation0
A Systematic Study Reveals Unexpected Interactions in Pre-Trained Neural Machine Translation0
A Teacher-Student Framework for Zero-Resource Neural Machine Translation0
A Test Suite and Manual Evaluation of Document-Level NMT at WMT190
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation0
A Transformer-Based Multi-Source Automatic Post-Editing System0
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi0
Attention-based Vocabulary Selection for NMT Decoding0
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture0
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions0
A Two-Stage Curriculum Training Framework for NMT0
Audiovisual Translation through NMT and Subtitling in the Netflix Series ‘Cable Girls’0
Augmenting Large Language Model Translators via Translation Memories0
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT0
A User Study of the Incremental Learning in NMT0
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits0
AutoLoss: Learning Discrete Schedule for Alternate Optimization0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language0
Automatically Generating Commit Messages from Diffs using Neural Machine Translation0
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output0
Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation0
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