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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
Transfer Learning in Multilingual Neural Machine Translation with Dynamic VocabularyCode1
You May Not Need AttentionCode1
Document-Level Neural Machine Translation with Hierarchical Attention NetworksCode1
Unsupervised Statistical Machine TranslationCode1
OpenNMT: Neural Machine Translation ToolkitCode1
On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language InferenceCode1
XNMT: The eXtensible Neural Machine Translation ToolkitCode1
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMTCode1
Sparse Communication for Distributed Gradient DescentCode1
Sequence-Level Knowledge DistillationCode1
Improving Neural Machine Translation Models with Monolingual DataCode1
Neural Machine Translation of Rare Words with Subword UnitsCode1
Effective Approaches to Attention-based Neural Machine TranslationCode1
Asymptotically Smaller Encodings for Graph Problems and Scheduling—0
ConECT Dataset: Overcoming Data Scarcity in Context-Aware E-Commerce MT—0
Enhancing Meme Token Market Transparency: A Multi-Dimensional Entity-Linked Address Analysis for Liquidity Risk Evaluation—0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits—0
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation—0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine TranslationCode0
Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual PerspectiveCode0
TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for DocumentariesCode0
Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda—0
AI agents may be worth the hype but not the resources (yet): An initial exploration of machine translation quality and costs in three language pairs in the legal and news domains—0
Calibrating Translation Decoding with Quality Estimation on LLMsCode0
Is LLM the Silver Bullet to Low-Resource Languages Machine Translation?—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems—0
MultiSlav: Using Cross-Lingual Knowledge Transfer to Combat the Curse of Multilinguality—0
Quality-Aware Decoding: Unifying Quality Estimation and Decoding—0
Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System—0
Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction—0
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token—0
Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model—0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
Quality Estimation based Feedback Training for Improving Pronoun Translation—0
Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq ApproachesCode0
Enhancing Entertainment Translation for Indian Languages using Adaptive Context, Style and LLMs—0
Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation—0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation—0
Domain adapted machine translation: What does catastrophic forgetting forget and why?—0
Reconsidering SMT Over NMT for Closely Related Languages: A Case Study of Persian-Hindi Pair—0
Understanding and Analyzing Model Robustness and Knowledge-Transfer in Multilingual Neural Machine Translation using TX-Ray—0
ParMod: A Parallel and Modular Framework for Learning Non-Markovian Tasks—0
A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom TranslationCode0
Shiksha: A Technical Domain focused Translation Dataset and Model for Indian Languages—0
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