NDLI: A language-independent text art extraction method

Content Provider	IEEE Xplore Digital Library
Author	Suzuki, T. Hayashi, K.
Copyright Year	2009
Description	Author affiliation: Department of Electronic Information Systems, College of Systems Engineering and Science, Shibaura Institute of Technology, Minuma, Saitama city, 337-8570, Japan (Suzuki, T.) \|\| Department of Electrical Engineering and Computer Science, Graduate School of Engineering, Shibaura Institute of Technology, Minuma, Saitama city, 337-8570, Japan (Hayashi, K.)
Abstract	Text based pictures called text art are often used in Web pages, email text and so on. They delight us, but they can be noise for handling the text data. For example, they can be obstacle for text-to-speech software and natural language processing. Such problems will be solved by text art extraction methods which detects the area of text art in a given text data, and text art extraction methods can be constructed by text art recognition methods which tell if a given fragment of text data is a text art or not. Previous works for text art recognition methods assume that a specific natural language is used in text data, and do not work for text data with other natural languages well. In this paper, we propose a text art extraction method for multi natural languages. Attributes of a given text data which our method uses include how the text data looks like text art while attributes of it which the previous works use include how the text data looks like a natural language text. Our experiment shows that our method works well for both English text and Japanese text data.
Starting Page	462
Ending Page	467
File Size	183857
Page Count	6
File Format	PDF
ISBN	9781424444564
DOI	10.1109/ICADIWT.2009.5273885
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-04
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Art Text recognition Natural languages Web pages Cities and towns Frequency Natural language processing Electronic mail Data mining Information systems
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Novel Method of Chinese Web Information Extraction and Applications

Mining answers in German Web pages

SeseiOnto: Interfacing NLP and Ontology Extraction

Rule-Based Extraction of Spatial Relations in Natural Language Text

A Prototype Process-Based Search Engine

Multilingual and multimedia information retrieval from Web documents

Web Information Extraction Using Generalized Hidden Markov Model

Structured Poi data extraction from Internet news

Verifying person descriptions with term-entity association

A language-independent text art extraction method

Similar Documents

A Novel Method of Chinese Web Information Extraction and Applications

Mining answers in German Web pages

SeseiOnto: Interfacing NLP and Ontology Extraction

Rule-Based Extraction of Spatial Relations in Natural Language Text

A Prototype Process-Based Search Engine

Multilingual and multimedia information retrieval from Web documents

Web Information Extraction Using Generalized Hidden Markov Model

Structured Poi data extraction from Internet news

Verifying person descriptions with term-entity association

A language-independent text art extraction method