The development of Alisher stemmer for Uzbek Language
Journal: Science and Education (Vol.3, No. 4)Publication Date: 2022-04-25
Authors : Alisher Shakirovich Ismailov; Nilufar Abdurakhmonova;
Page : 187-213
Keywords : stemming; information retrieval; natural language processing;
Abstract
There has been a massive growth in the volume of data produced around the world in last few decades. The first data growing had begun about fifty years ago [1] when the researchers experienced the first scientific publications coming from many different fields, later it became socialization of the Internet. The researchers needed some mechanisms to find information from these big data collections [2]. Currently, these mechanisms are a big part of the information retrieval process [3, 4]. These mechanisms are a full, extensive, and specialized area of research in information technology. The main goal of information retrieval is to systematically analyze data and to extract some related data or documents that user needed or required information. Information need means that mechanism answers not only direct questions (e.g., what is stemming?), but also searches for documents that related to an entered term or group of terms that can be specific (e.g., stemming) or it is not be specific that user is not sure what she/he is looking for (e.g., algorithm to find words' roots). These straight questions, terms, and words are also known as queries and they represent the user's input to the system. The output could be a document title or a group of document titles and they can be ranked according to a matching percentage between the documents and the query during the process of calculation [5].
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Last modified: 2022-05-03 21:04:11