Flexible Noisy Text Correction

Author

Sariev, Andrey ; Nenchev, Vladislav ; Gerdjikov, Stefan ; Mitankin, Petar ; Ganchev, Hristo ; Mihov, Stoyan ; Tinchev, Tinko

fYear

2014

fDate

7-10 April 2014

Firstpage

31

Lastpage

35

Abstract

We present a new general and language independent approach to the noisy text correction problem developed and implemented in the framework of the CULTURA project. We briefly describe the core candidate generator, REBELS, the complete system concept, its efficient implementation based on functional automata and its immediate applications. The quality of the whole system is empirically established in different experimental settings where language and noise sources are varied.

Keywords

automata theory; error correction; language translation; learning (artificial intelligence); text analysis; text editing; CULTURA project; REBELS; complete system concept; core candidate generator; flexible noisy text correction; functional automata; language independent approach; Automata; Computational modeling; Nickel; Noise; Noise measurement; Optical character recognition software; Standards; OCR correction; finite state automata; historical texts normalisation; noisy-text correction; statistical methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis Systems (DAS), 2014 11th IAPR International Workshop on

Conference_Location

Tours

Print_ISBN

978-1-4799-3243-6

Type

conf

DOI

10.1109/DAS.2014.12

Filename

6830964