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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 251–300 of 1773 papers

TitleStatusHype
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Neural Machine Translation with Contrastive Translation MemoriesCode1
Improving Simultaneous Machine Translation with Monolingual DataCode1
Word Alignment in the Era of Deep Learning: A Tutorial—0
PhraseTransformer: An Incorporation of Local Context Information into Sequence-to-sequence Semantic ParsingCode0
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?Code0
Rank-One Editing of Encoder-Decoder Models—0
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
MarianCG: a code generation transformer model inspired by machine translationCode1
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
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain AdaptationCode1
Parallel Attention Forcing for Machine Translation—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
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
Towards Robust k-Nearest-Neighbor Machine TranslationCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
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
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language ModelsCode0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
English to Bengali Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
NICT’s Submission to the WAT 2022 Structured Document Translation Task—0
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 2022—0
NIT Rourkela Machine Translation(MT) System Submission to WAT 2022 for MultiIndicMT: An Indic Language Multilingual Shared Task—0
HFT: High Frequency Tokens for Low-Resource NMTCode0
HwTscSU’s Submissions on WAT 2022 Shared Task—0
Low-Resource Neural Machine Translation: A Case Study of CantoneseCode1
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches—0
Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation—0
Byte-based Multilingual NMT for Endangered LanguagesCode0
Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine TranslationCode0
Linguistically-Motivated Yorùbá-English Machine Translation—0
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
Speeding up Transformer Decoding via an Attention Refinement NetworkCode0
Multi-level Community-awareness Graph Neural Networks for Neural Machine TranslationCode0
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
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