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 826–850 of 1773 papers

TitleStatusHype
Hindi-Marathi Cross Lingual Model—0
Noising Scheme for Data Augmentation in Automatic Post-Editing—0
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task—0
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20—0
Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task—0
Findings of the WMT 2020 Shared Task on Automatic Post-Editing—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
Combination of Neural Machine Translation Systems at WMT20—0
Neural Machine Translation between similar South-Slavic languages—0
Natural Language Response Generation from SQL with Generalization and Back-translation—0
Efficient Transfer Learning for Quality Estimation with Bottleneck Adapter Layer—0
Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation—0
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise—0
Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated SolutionCode0
Insights from Gathering MT Productivity Metrics at Scale—0
INMIGRA3: building a case for NGOs and NMT—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
Sockeye 2: A Toolkit for Neural Machine Translation—0
Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation—0
A User Study of the Incremental Learning in NMT—0
Quantitative Analysis of Post-Editing Effort Indicators for NMT—0
MTUOC: easy and free integration of NMT systems in professional translation environments—0
Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs—0
PosEdiOn: Post-Editing Assessment in PythOn—0
Fine-Grained Error Analysis on English-to-Japanese Machine Translation in the Medical Domain—0
Show:102550
← PrevPage 34 of 71Next →

No leaderboard results yet.