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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 226–250 of 1773 papers

TitleStatusHype
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training—0
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian—0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
Bridging Neural Machine Translation and Bilingual Dictionaries—0
Combining PBSMT and NMT Back-translated Data for Efficient NMT—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
Bridging the Gap between Training and Inference for Neural Machine Translation—0
Building a Neural Machine Translation System Using Only Synthetic Parallel Data—0
Building a Parallel Corpus and Training Translation Models Between Luganda and English—0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
A Parallel Corpus of Theses and Dissertations Abstracts—0
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation—0
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages—0
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation—0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?—0
Can Neural Machine Translation be Improved with User Feedback?—0
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation—0
Can Synthetic Translations Improve Bitext Quality?—0
Can Synthetic Translations Improve Bitext Quality?—0
Can the Variation of Model Weights be used as a Criterion for Self-Paced Multilingual NMT?—0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
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