Results 81 to 90 of about 828 (179)

Statistical analysis of Slovene language corpuses

open access: yes, 2016
Natural language processing is an important area of computational linguistics and artificial intelligence . Mostly, its existing applications are developed for and based on English texts. We developed an application for the statistical analysis of large text corpora, which takes into account the unique characteristics of Slovene as a strongly inflected
openaire   +1 more source

Correcting comma placement in Slovene language with LanguageTool

open access: yes, 2015
The aim of the thesis is to add the rules for comma usage to the LanguageTool program. Using the Lektor corpus, we examined which rules for comma usage are causing the most issues in written Slovene. In view of these results, we analyzed the rules for comma usage before conjunctions »and«, »or« and »that« in Slovenian ortography 2001.
openaire   +2 more sources

Preliminary Report on Dialect Attitudes in Austrian and Slovene Carinthia

open access: yesSlovenski Jezik - Slovene Linguistic Studies, 2019
This paper is a preliminary analysis of an internet-based questionnaire on dialect attitudes and perceptions conducted in Slovene-speaking areas in Austrian and Slovene Carinthia. The survey largely confirmed expectations.
Grant H Lundberg
doaj  

TEXT MININIG TOOLS FOR SLOVENE LANGUAGE

open access: yes, 2013
We introduce the use of various tools for Slovenian language processing and adapt them for NLTK library. To automatically determine the part of speech tags we use algorithms from the NLTK library. From Gigafida corpus we build several taggers: n-gram, Brill, naive Bayes, maximum entropy and hidden Markov model. We measure the accuracy of part of speech
openaire   +1 more source

Evaluation of Psychometric Properties of Thai Version Telehealth Usability Questionnaire (T-TUQ). [PDF]

open access: yesInt J Telerehabil, 2023
Hirunwiwatkul P   +9 more
europepmc   +1 more source

Computer Speech Recognition in Slovene Language

open access: yes, 2018
Manual transcription of speech is slow and is being replaced by automatic speech recognition systems. These systems are also used for voice control of various programs and devices. In this thesis, we used as a baseline for Slovene speech recognition GMM-HMM methods for acoustic model and n-grams for language model.
openaire   +1 more source

Home - About - Disclaimer - Privacy