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 201–225 of 1773 papers

TitleStatusHype
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine TranslationCode0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text TranslationCode0
Better Neural Machine Translation by Extracting Linguistic Information from BERTCode0
A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme InformationCode0
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
First the worst: Finding better gender translations during beam searchCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
How do lexical semantics affect translation? An empirical studyCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Addressing the Vulnerability of NMT in Input PerturbationsCode0
Exploiting Cross-Sentence Context for Neural Machine TranslationCode0
Show:102550
← PrevPage 9 of 71Next →

No leaderboard results yet.