Segmentation of texts and biological sequences into lexical and structural units using a machine-learning approach

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Authors

HUDÍK Tomáš LEXA Matej

Year of publication 2005
Type Article in Proceedings
Conference Proceedings of the 1st International Summer School on Computational Biology
MU Faculty or unit

Faculty of Informatics

Citation
Web http://www.cba.muni.cz/summer-school2005/index.php
Field Informatics
Keywords machine learning ; segmentation; I-sites
Description Results demonstrate that segmentation problems in the linguistic domain and protein sequence domain are similar and can be treated with similar computational tools. From our point of view protein sequences contain segments that are analogical to words in natural language.
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