DocumentCode
1781404
Title
ATM - Awesome Translation Machine
Author
Hongfei Wang
Author_Institution
China Ship Dev. & Design Center, Wuhan, China
fYear
2014
fDate
28-30 Nov. 2014
Firstpage
226
Lastpage
231
Abstract
In this paper, we present the ATM (Awesome Translation Machine), which translates handwriting texts in English into Chinese, and then provides its pronunciations in both the two languages. Specifically, two types of the databases that contain characters and sentences for training the ATM are constructed. Various signal processing techniques are employed sequentially for processing and analyzing the image raw data. After all the preparation stages, we apply multiple pattern recognition techniques, i.e., Principle component analysis, linear discriminant analysis, and support vector machines, for the purpose of character recognition. The identified characters are thereby automatically linked to their actual meanings stored. Extensive experiments are conducted to gauge the performance for different techniques.
Keywords
handwritten character recognition; language translation; natural language processing; principal component analysis; support vector machines; text analysis; ATM; English language translation; awesome translation machine; character recognition; handwriting text translation; image raw data analysis; linear discriminant analysis; pattern recognition techniques; principle component analysis; signal processing techniques; support vector machines; Character recognition; Databases; Noise; Support vector machines; Training; Vectors; Writing; Character recognition; Image capture; Image processing; Pattern recognition methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Home (ICDH), 2014 5th International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4799-4285-5
Type
conf
DOI
10.1109/ICDH.2014.50
Filename
6996765
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