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A Smart Proofreader for All Natural Languages : Achieving Semantic Understanding by Majority Vote
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-19
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The language tools offered in common word processors use dictionaries and simple grammatical rules.
They cannot detect errors such as a wrong preposition, interchanged words, or typos that result in a dictionary word.
However, by comparing the user's text to a large repository, it is possible to detect many of these errors and also to suggest alternatives.
By looking at full sentences, it is often possible to get the correct context.
This is important in detecting errors and in order to offer valuable suggestions.
These ideas have been implemented in a prototype system.
We present examples in English and Norwegian, but the method, that of following a “majority vote,” can be applied to any written language.
American Psychological Association (APA)
Olsen, Kai A.. 2012. A Smart Proofreader for All Natural Languages : Achieving Semantic Understanding by Majority Vote. ISRN Artificial Intelligence،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-508062
Modern Language Association (MLA)
Olsen, Kai A.. A Smart Proofreader for All Natural Languages : Achieving Semantic Understanding by Majority Vote. ISRN Artificial Intelligence No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-508062
American Medical Association (AMA)
Olsen, Kai A.. A Smart Proofreader for All Natural Languages : Achieving Semantic Understanding by Majority Vote. ISRN Artificial Intelligence. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-508062
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-508062