Name
Title | ||
|---|---|---|
What Weighs for Word Stress? Big Data Mining and Analyses of Phonotactic Distributions in Brazilian Portuguese. |
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2018 | PROPOR | Phonotactics,Stress (linguistics),Syllabic verse,Big data mining,Computer science,Natural language processing,Artificial intelligence,Random forest,Brazilian Portuguese |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amanda Post da Silveira | 1 | 0 | 0.34 |
| Eric Sanders | 2 | 138 | 27.90 |
| Gustavo Mendonça | 3 | 0 | 0.34 |
| Ton Dijkstra | 4 | 46 | 9.33 |