A review of techniques for morphological analysis in natural language processing/ (Record no. 87963)

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fixed length control field 01558nam a22001817a 4500
003 - CONTROL NUMBER IDENTIFIER
control field KE-MeUCS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220822165456.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220822b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
Source
040 ## - CATALOGING SOURCE
Transcribing agency KE-MeUCS
Modifying agency KE-MeUCS
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number
245 ## - TITLE STATEMENT
Title A review of techniques for morphological analysis in natural language processing/
Statement of responsibility, etc Mutwiri, George; Mutua, Makau and Omamo, Amos
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Meru:
Name of publisher, distributor, etc Meru University of Science and Technology;
Date of publication, distribution, etc 2022.
490 ## - SERIES STATEMENT
Series statement MUSTIC2022
520 ## - SUMMARY, ETC.
Summary, etc Natural language is a crucial tool to facilitate communication in our day-to-day activities. This can be achieved either in text or speech forms. Natural language processing (NLP) involves making computers understand and process natural language. NLP has enhanced the way humans interact with computers, from having computers use speech to talk to humans as well as having computers translate<br/>human speech. Apart from speech, computers also create and understand sentences in natural language in a process called morphological analysis. Morphological analysis is an important part in natural language processing, being applied as a preprocessing step in most NLP tasks. Morphological<br/>analysis consists of four subtasks, that is, lemmatization, part-of-speech (POS) tagging, word<br/>segmentation and stemming. In this paper, we explore in detail each of these tasks of morphological analysis. We then evaluate the techniques used in this NLP field. Finally, we give a summary of the results of each of these techniques.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Article
Cataloguer Mercy Musungu
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Cataloger Total Checkouts Full call number Date last seen Price effective from Koha item type
    Library of Congress Classification     Meru University Meru University Periodical Section 22/08/2022 Mercy Musungu   22/08/2022 22/08/2022 Article

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