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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 301–350 of 1773 papers

TitleStatusHype
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment—0
Data Selection Curriculum for Neural Machine Translation—0
Debiasing Word Embeddings Improves Multimodal Machine Translation—0
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT—0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation—0
Adaptive Multi-pass Decoder for Neural Machine Translation—0
Augmenting Large Language Model Translators via Translation Memories—0
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation—0
Audiovisual Translation through NMT and Subtitling in the Netflix Series ‘Cable Girls’—0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation—0
Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation—0
A Comparison of Sentence-Weighting Techniques for NMT—0
Data augmentation using back-translation for context-aware neural machine translation—0
Analyzing Neural MT Search and Model Performance—0
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions—0
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation—0
Data Augmentation for Sign Language Gloss Translation—0
Data Augmentation With Back translation for Low Resource languages: A case of English and Luganda—0
Current Shortcomings of Machine Translation in Spanish and Bulgarian Vis-à-vis English—0
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation—0
Curriculum Learning and Minibatch Bucketing in Neural Machine Translation—0
Attention-based Vocabulary Selection for NMT Decoding—0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation—0
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi—0
CUNI Transformer Neural MT System for WMT18—0
Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study—0
Context-Adaptive Document-Level Neural Machine Translation—0
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation—0
Context-Aware Smoothing for Neural Machine Translation—0
Context Based Machine Translation With Recurrent Neural Network For English-Amharic Translation—0
Analysing concatenation approaches to document-level NMT in two different domains—0
Context in Neural Machine Translation: A Review of Models and Evaluations—0
Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems—0
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture—0
Content Word Aware Neural Machine Translation—0
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing—0
Contextual Text Embeddings for Twi—0
Continual Learning for Neural Machine Translation—0
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT—0
Continual Learning in Multilingual NMT via Language-Specific Embeddings—0
A Two-Stage Curriculum Training Framework for NMT—0
A Transformer-Based Multi-Source Automatic Post-Editing System—0
Adaptive Bridge between Training and Inference for Dialogue Generation—0
Contrastive Learning for Context-aware Neural Machine TranslationUsing Coreference Information—0
Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information—0
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation—0
Contrastive Word Embedding Learning for Neural Machine Translation—0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022—0
Controlling Japanese Honorifics in English-to-Japanese Neural Machine Translation—0
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20—0
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