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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 151–200 of 1773 papers

TitleStatusHype
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency RegularizationCode1
Incorporating BERT into Neural Machine TranslationCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
Integrating Vectorized Lexical Constraints for Neural Machine TranslationCode1
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
knn-seq: Efficient, Extensible kNN-MT FrameworkCode1
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine TranslationCode1
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine TranslationCode1
Low-Resource Neural Machine Translation: A Case Study of CantoneseCode1
MarianCG: a code generation transformer model inspired by machine translationCode1
Modeling Bilingual Conversational Characteristics for Neural Chat TranslationCode1
Modelling Latent Translations for Cross-Lingual TransferCode1
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
Are BLEU and Meaning Representation in Opposition?—0
Are BLEU and Meaning Representation in Opposition?—0
Adabot: Fault-Tolerant Java Decompiler—0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation—0
A Pronoun Test Suite Evaluation of the English--German MT Systems at WMT 2018—0
A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch—0
A Primer in NMTology: What we have understood about NMT—0
A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings—0
A Dynamic Head Importance Computation Mechanism for Neural Machine Translation—0
Approches quantitatives de l'analyse des prédictions en traduction automatique neuronale (TAN)—0
Self-attention based end-to-end Hindi-English Neural Machine Translation—0
Calibration of Encoder Decoder Models for Neural Machine Translation—0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
A Parallel Corpus of Theses and Dissertations Abstracts—0
ANVITA Machine Translation System for WAT 2021 MultiIndicMT Shared Task—0
Adversarial Neural Machine Translation—0
Adversarial Grammatical Error Correction—0
Active Learning Approaches to Enhancing Neural Machine Translation—0
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation—0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task—0
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation—0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
Findings of the Third Workshop on Neural Generation and Translation—0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?—0
A New Methodology to Maximize the Strength of SMT and NMT—0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
A Character-Aware Encoder for Neural Machine Translation—0
A neural interlingua for multilingual machine translation—0
A Neural Approach to KGQA via SPARQL Silhouette Generation—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
Bridging the Gap between Training and Inference for Neural Machine Translation—0
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil—0
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