Morphology based text compression

Author

Göksu, Hayriye ; Diri, Banu

fYear

2010

fDate

22-24 April 2010

Firstpage

45

Lastpage

48

Abstract

With the rapid growth of online information, the number of documents in electronic media is very common increased. Easy and quick access to this information gets more important for the purpose of text compression. In recent years, a portion of the work in the field of text compression covers study aimed to the morphological structure of the language. In this study, Turkish and English documents are compressed in the determination of the different decomposition methods and efficiency, this method has been to investigate the effects of compression. Turkish and English documents are parsed by using morphological structure. The next stage in the parsed document structure is applied to the compression process with Huffman compression method. As a result, created 10 different parsing techniques with which attempts were made on a different corpus.

Keywords

data compression; grammars; natural language processing; text analysis; English document; Huffman compression method; Turkish document; electronic media; morphological structure; morphology based text compression; Computers; Conferences; Data compression; Entropy; Information technology; Markov processes; Morphology;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th

Conference_Location

Diyarbakir

Print_ISBN

978-1-4244-9672-3

Type

conf

DOI

10.1109/SIU.2010.5651231

Filename

5651231