SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1100 of 1773 papers

TitleStatusHype
Improving NMT Quality Using Terminology Injection—0
Improving NMT via Filtered Back Translation—0
Improving Robustness in Real-World Neural Machine Translation Engines—0
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions—0
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation—0
Improving the Robustness of Speech Translation—0
Improving Zero-shot Multilingual Neural Machine Translation for Low-Resource Languages—0
Improving Zero-shot Neural Machine Translation on Language-specific Encoders-Decoders—0
Improving Zero-shot Translation with Language-Independent Constraints—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
Incorporating Global Visual Features into Attention-Based Neural Machine Translation—0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Incorporating Source-Side Phrase Structures into Neural Machine Translation—0
Incorporating Source Syntax into Transformer-Based Neural Machine Translation—0
Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model—0
Incorporating translation quality estimation into Chinese-Korean neural machine translation—0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation—0
Incremental Adaptation of NMT for Professional Post-editors: A User Study—0
InDeep × NMT: Empowering Human Translators via Interpretable Neural Machine Translation—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits—0
Inducing Grammars with and for Neural Machine Translation—0
Inference-only sub-character decomposition improves translation of unseen logographic characters—0
Information-Propogation-Enhanced Neural Machine Translation by Relation Model—0
INMIGRA3: building a case for NGOs and NMT—0
Insights from Gathering MT Productivity Metrics at Scale—0
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
Integrating Pre-trained Language Model into Neural Machine Translation—0
Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages—0
Integrating Vectorized Lexical Constraints for Neural Machine Translation—0
Interactive Attention for Neural Machine Translation—0
Interactive Visualization and Manipulation of Attention-based Neural Machine Translation—0
Introducing EM-FT for Manipuri-English Neural Machine Translation—0
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources—0
Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data—0
Exploring the Robustness of NMT Systems to Nonsensical Inputs—0
Investigating Active Learning in Interactive Neural Machine Translation—0
Investigating Backtranslation in Neural Machine Translation—0
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation—0
Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation—0
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender—0
Investigating Low-resource Machine Translation for English-to-Tamil—0
Investigating Multilingual NMT Representations at Scale—0
Investigating Softmax Tempering for Training Neural Machine Translation Models—0
Investigating Terminology Translation in Statistical and Neural Machine Translation: A Case Study on English-to-Hindi and Hindi-to-English—0
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?—0
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse—0
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews—0
Show:102550
← PrevPage 22 of 36Next →

No leaderboard results yet.