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 326–350 of 1773 papers

TitleStatusHype
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine TranslationCode0
Reducing Disambiguation Biases in NMT by Leveraging Explicit Word Sense Information—0
Unified NMT models for the Indian subcontinent, transcending script-barriers—0
End-to-End Simultaneous Speech Translation with Pretraining and Distillation: Huawei Noah’s System for AutoSimTranS 2022—0
Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator—0
Code Translation with Compiler Representations—0
Probing Causes of Hallucinations in Neural Machine Translations—0
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models—0
Dict-NMT: Bilingual Dictionary based NMT for Extremely Low Resource Languages—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Finetuning a Kalaallisut-English machine translation system using web-crawled data—0
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation—0
Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof<->French—0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
Machine Translation of 16Th Century Letters from Latin to German—0
Automatic Bilingual Phrase Dictionary Construction from GIZA++ Output—0
A Benchmark Dataset for Multi-Level Complexity-Controllable Machine TranslationCode0
Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages—0
Priming Ancient Korean Neural Machine Translation—0
Introducing the CURLICAT Corpora: Seven-language Domain Specific Annotated Corpora from Curated Sources—0
Introducing EM-FT for Manipuri-English Neural Machine Translation—0
Bicleaner AI: Bicleaner Goes NeuralCode1
A Systematic Study Reveals Unexpected Interactions in Pre-Trained Neural Machine Translation—0
The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text—0
Show:102550
← PrevPage 14 of 71Next →

No leaderboard results yet.