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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

Showing 13261350 of 1773 papers

TitleStatusHype
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation0
Analysing concatenation approaches to document-level NMT in two different domains0
Analyzing Neural MT Search and Model Performance0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation0
An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation0
An Analysis of Source-Side Grammatical Errors in NMT0
An Analysis on Automated Metrics for Evaluating Japanese-English Chat Translation0
An approach for mistranslation removal from popular dataset for Indic MT Task0
An Augmented Translation Technique for low Resource language pair: Sanskrit to Hindi translation0
Ancient-Modern Chinese Translation with a Large Training Dataset0
An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario0
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation0
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation0
An Empirical Investigation of Multi-bridge Multilingual NMT models0
An Empirical Study of Document-to-document Neural Machine Translation0
An Empirical Study of Mini-Batch Creation Strategies for Neural Machine Translation0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution0
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter0
An empirical study on the effectiveness of images in Multimodal Neural Machine Translation0
An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domain0
An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil0
A Neural Approach to KGQA via SPARQL Silhouette Generation0
A neural interlingua for multilingual machine translation0
A New Methodology to Maximize the Strength of SMT and NMT0
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