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 1301–1350 of 1773 papers

TitleStatusHype
Bridging the Gap between Training and Inference for Neural Machine Translation—0
Robust Neural Machine Translation with Doubly Adversarial Inputs—0
Unsupervised Pivot Translation for Distant Languages—0
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions—0
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations—0
Lattice-Based Transformer Encoder for Neural Machine Translation—0
Exploiting Sentential Context for Neural Machine Translation—0
Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain—0
Domain Adaptive Inference for Neural Machine Translation—0
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities—0
Improving Neural Machine Translation with Neural Syntactic Distance—0
Online Distilling from Checkpoints for Neural Machine Translation—0
Unsupervised Extraction of Partial Translations for Neural Machine Translation—0
Incorporating Source-Side Phrase Structures into Neural Machine Translation—0
Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)—0
Revisiting NMT for Normalization of Early English LettersCode0
Examining Structure of Word Embeddings with PCA—0
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing—0
Semantic Diversity by Phonetics for Accurate and Robust Machine Translation—0
Revisiting Low-Resource Neural Machine Translation: A Case StudyCode0
Debiasing Word Embeddings Improves Multimodal Machine Translation—0
An Analysis of Source-Side Grammatical Errors in NMT—0
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation—0
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation—0
Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared VocabulariesCode0
Synchronous Bidirectional Neural Machine TranslationCode0
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations—0
A Parallel Corpus of Theses and Dissertations Abstracts—0
A Guider Network for Multi-Dual Learning—0
Neural Machine Translation with Recurrent Highway Networks—0
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors—0
Dynamic Past and Future for Neural Machine TranslationCode0
Code-Switching for Enhancing NMT with Pre-Specified TranslationCode0
APE at Scale and its Implications on MT Evaluation Biases—0
Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?—0
Consistency by Agreement in Zero-shot Neural Machine TranslationCode0
Multimodal Machine Translation with Embedding PredictionCode0
Competence-based Curriculum Learning for Neural Machine TranslationCode0
Selective Attention for Context-aware Neural Machine TranslationCode0
The Missing Ingredient in Zero-Shot Neural Machine Translation—0
Calibration of Encoder Decoder Models for Neural Machine Translation—0
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation—0
Massively Multilingual Neural Machine Translation—0
Non-Parametric Adaptation for Neural Machine Translation—0
Augmenting Neural Machine Translation with Knowledge GraphsCode0
OpenKiwi: An Open Source Framework for Quality EstimationCode0
Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax—0
Semantic Neural Machine Translation using AMRCode0
Multilingual Neural Machine Translation With Soft Decoupled EncodingCode0
An Effective Approach to Unsupervised Machine TranslationCode0
Show:102550
← PrevPage 27 of 36Next →

No leaderboard results yet.