What weighs for word stress? Big data mining and analyses of phonotactic distributions in Brazilian Portuguese
Publication year
2018Publisher
Cham : Springer
ISBN
9783319997216
In
Villavicencio, A.; Moreira, V.; Abad, A. (ed.), Computational processing of the Portuguese language: 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings, pp. 399-408Annotation
13th International Conference on Computational Processing of the Portuguese Language, PROPOR 2018, Canela, Brazil, September 24-26, 2018
Publication type
Article in monograph or in proceedings

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Editor(s)
Villavicencio, A.
Moreira, V.
Abad, A.
Caseli, H.
Gamallo, P.
Ramisch, C.
Oliveira, H.G.
Paetzold, G.H.
Organization
SW OZ DCC PL
CLST - Centre for Language and Speech Technology
Taalwetenschap
Languages used
English (eng)
Book title
Villavicencio, A.; Moreira, V.; Abad, A. (ed.), Computational processing of the Portuguese language: 13th International Conference, PROPOR 2018, Canela, Brazil, September 24-26, 2018, Proceedings
Page start
p. 399
Page end
p. 408
Subject
Cognitive and developmental aspects of Multilingualism; DI-BCB_DCC_Theme 1: Language and Communication; Language & Communication; Language & Speech Technology; PsycholinguisticsAbstract
For about four decades, phonological theories have claimed that word stress assignment depends on the word's syllabic phonotactic complexity in relation to syllabic position. This study analyzes the phonotactic implications for word stress Brazilian Portuguese. After creating a phonotactic corpus and applying Random Forest modeling, phonotactic distributions for word stress were found to be bound to stress pattern and word length in number of syllables. To account for these observations, models of word naming must be extended with aspects of word stress.
This item appears in the following Collection(s)
- Academic publications [234365]
- Faculty of Arts [28943]
- Faculty of Social Sciences [29207]
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