Paper Info
Title
Modeling Translation
Abstract
Machine translation (MT) has been a challenging application of natural language processing technologies for many years. However, recent major improvements in translation accuracy have led to instances such as Web-based services that almost instantly translate any text into different languages or business-to-business services for high-quality translation of domain-specific documents. This article covers the foundation of recent MT systems and introduces translation as a mathematical process. It also focuses on how an MT system automatically learns to translate using samples of translated texts and how it renders output by combining acquired knowledge.
Year
DOI
Venue
2015
10.1109/MIS.2015.85
Intelligent Systems, IEEE
Keywords
DocType
Volume
language translation,MT modeling,MT system,Web-based services,business-to-business services,domain-specific document translation,machine translation,natural language processing technologies,translation accuracy,MT,NLP,intelligent systems,machine translation,natural language processing
Journal
30
Issue
ISSN
Citations 
5
1541-1672
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Taro Watanabe113.07