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 401–450 of 1773 papers

TitleStatusHype
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?Code0
Rank-One Editing of Encoder-Decoder Models—0
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
Reducing Hallucinations in Neural Machine Translation with Feature Attribution—0
Easy Guided Decoding in Providing Suggestions for Interactive Machine TranslationCode0
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions—0
Parallel Attention Forcing for Machine Translation—0
Specializing Multi-domain NMT via Penalizing Low Mutual Information—0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation—0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT—0
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models—0
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?—0
Categorizing Semantic Representations for Neural Machine Translation—0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT—0
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning—0
Improving Robustness of Retrieval Augmented Translation via Shuffling of Suggestions—0
Checks and Strategies for Enabling Code-Switched Machine Translation—0
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language ModelsCode0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
Byte-based Multilingual NMT for Endangered LanguagesCode0
Multi-level Community-awareness Graph Neural Networks for Neural Machine TranslationCode0
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
HwTscSU’s Submissions on WAT 2022 Shared Task—0
HFT: High Frequency Tokens for Low-Resource NMTCode0
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
English to Bengali Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation—0
Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch TrainingCode0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 2022—0
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine TranslationCode0
FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT—0
Linguistically-Motivated Yorùbá-English Machine Translation—0
NICT’s Submission to the WAT 2022 Structured Document Translation Task—0
NIT Rourkela Machine Translation(MT) System Submission to WAT 2022 for MultiIndicMT: An Indic Language Multilingual Shared Task—0
Speeding up Transformer Decoding via an Attention Refinement NetworkCode0
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation—0
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models—0
Revisiting Neural Scaling Laws in Language and Vision—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine TranslationCode0
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-TranslationCode0
The impact of translation competence on error recognition of neural MT—0
English-Russian Data Augmentation for Neural Machine Translation—0
Current Shortcomings of Machine Translation in Spanish and Bulgarian Vis-à-vis English—0
A Comparison of Data Filtering Methods for Neural Machine Translation—0
All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation—0
Show:102550
← PrevPage 9 of 36Next →

No leaderboard results yet.