RESOURCE VOLUME OPTIMIZATION OF LANGUAGE IDENTIFIERS FOR THE ACCOUNT OF METHODS AND IDENTIFICATION ALGORITHMS
Journal Title: Современные информационные технологии и ИТ-образование - Year 2017, Vol 13, Issue 3
Abstract
This article is a continuation of the author's series of publications on the topic of text’s language identification. Here is considered the possibility of optimizing the resource capacity of programs and systems for language identification of information blocks by modifying the identification and resultant algorithms, as well as the selection of language identification methods. This allows significantly increase their efficiency and to calculate the requirements for resources at the design stage of such software solutions, which significantly reduces the time of their development and debugging. Also given are: classification of language identification methods, their comparative table, block diagrams and gradations of the corresponding algorithms. The work will be of interest to specialists in the field of computer linguistics and developers of automated complexes for processing unstructured data, such as: global monitoring systems, information retrieval systems, literature cataloguer, automatic document abstracting systems, automated text translators, etc.
Authors and Affiliations
Sergey Kalegin
Keywords
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- EP ID EP319926
- DOI 10.25559/SITITO.2017.3.486
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