Normalization of Lithuanian Text Using Regular Expressions

Fuente: arXiv
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Autor principal: Kasparaitis, Pijus
Formato: Preprint
Publicado: 2023
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author Kasparaitis, Pijus
author_facet Kasparaitis, Pijus
contents Text Normalization is an integral part of any text-to-speech synthesis system. In a natural language text, there are elements such as numbers, dates, abbreviations, etc. that belong to other semiotic classes. They are called non-standard words (NSW) and need to be expanded into ordinary words. For this purpose, it is necessary to identify the semiotic class of each NSW. The taxonomy of semiotic classes adapted to the Lithuanian language is presented in the work. Sets of rules are created for detecting and expanding NSWs based on regular expressions. Experiments with three completely different data sets were performed and the accuracy was assessed. Causes of errors are explained and recommendations are given for the development of text normalization rules.
format Preprint
id arxiv_https___arxiv_org_abs_2312_17660
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Normalization of Lithuanian Text Using Regular Expressions
Kasparaitis, Pijus
Computation and Language
I.2.7
Text Normalization is an integral part of any text-to-speech synthesis system. In a natural language text, there are elements such as numbers, dates, abbreviations, etc. that belong to other semiotic classes. They are called non-standard words (NSW) and need to be expanded into ordinary words. For this purpose, it is necessary to identify the semiotic class of each NSW. The taxonomy of semiotic classes adapted to the Lithuanian language is presented in the work. Sets of rules are created for detecting and expanding NSWs based on regular expressions. Experiments with three completely different data sets were performed and the accuracy was assessed. Causes of errors are explained and recommendations are given for the development of text normalization rules.
title Normalization of Lithuanian Text Using Regular Expressions
topic Computation and Language
I.2.7
url https://arxiv.org/abs/2312.17660