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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

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Showing 401–425 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
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation—0
Specializing Multi-domain NMT via Penalizing Low Mutual Information—0
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models—0
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT—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
NICT’s Submission to the WAT 2022 Structured Document Translation Task—0
Linguistically-Motivated Yorùbá-English Machine Translation—0
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 2022—0
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