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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 201210 of 1773 papers

TitleStatusHype
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering0
NMT-Obfuscator Attack: Ignore a sentence in translation with only one wordCode0
Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial ApproachCode0
On Creating an English-Thai Code-switched Machine Translation in Medical DomainCode0
Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset RepositoryCode0
QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation0
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