Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress
For about four decades, phonological theories have claimed that word stress assignment depends on the word’s syllabic structure complexity in relation to syllabic position. This study analyzes the syllabic structure implications for word stress in three languages with weight-sensitive lexical stres...
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| Format: | Article |
| Language: | Catalan |
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Centre International de Phonétique Appliquée
2023-12-01
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| Series: | Langue(s) & Parole |
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| Online Access: | https://revistes.uab.cat/languesparole/article/view/132 |
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| author | Amanda Post da Silveira |
| author_facet | Amanda Post da Silveira |
| author_sort | Amanda Post da Silveira |
| collection | DOAJ |
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For about four decades, phonological theories have claimed that word stress assignment depends on the word’s syllabic structure complexity in relation to syllabic position. This study analyzes the syllabic structure implications for word stress in three languages with weight-sensitive lexical stress, namely Brazilian Portuguese, British English, and American English. After creating three corpora and applying Random Forest modeling, syllabic structure 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.
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| format | Article |
| id | doaj-art-1760886dfdc74feba2ed11e37ead5aef |
| institution | Kabale University |
| issn | 2466-7757 2684-6691 |
| language | Catalan |
| publishDate | 2023-12-01 |
| publisher | Centre International de Phonétique Appliquée |
| record_format | Article |
| series | Langue(s) & Parole |
| spelling | doaj-art-1760886dfdc74feba2ed11e37ead5aef2025-01-30T05:19:16ZcatCentre International de Phonétique AppliquéeLangue(s) & Parole2466-77572684-66912023-12-01810.5565/rev/languesparole.132Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress Amanda Post da Silveira0Federal University of Jataí, Brazil For about four decades, phonological theories have claimed that word stress assignment depends on the word’s syllabic structure complexity in relation to syllabic position. This study analyzes the syllabic structure implications for word stress in three languages with weight-sensitive lexical stress, namely Brazilian Portuguese, British English, and American English. After creating three corpora and applying Random Forest modeling, syllabic structure 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. https://revistes.uab.cat/languesparole/article/view/132corpus linguisticssyllable structureword stressbig dataRandom Decision Forests |
| spellingShingle | Amanda Post da Silveira Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress Langue(s) & Parole corpus linguistics syllable structure word stress big data Random Decision Forests |
| title | Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress |
| title_full | Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress |
| title_fullStr | Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress |
| title_full_unstemmed | Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress |
| title_short | Big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress |
| title_sort | big data mining and comparative analyses across lexica on the relationship between syllable complexity and word stress |
| topic | corpus linguistics syllable structure word stress big data Random Decision Forests |
| url | https://revistes.uab.cat/languesparole/article/view/132 |
| work_keys_str_mv | AT amandapostdasilveira bigdataminingandcomparativeanalysesacrosslexicaontherelationshipbetweensyllablecomplexityandwordstress |