Name
Abstract | ||
|---|---|---|
The pioneering research of G. K. Zipf on the relationship between word frequency and other word features led to the formulation of various linguistic laws. The most popular is Zipf’s law for word frequencies. Here we focus on two laws that have been studied less intensively: the meaning-frequency law, i.e. the tendency of more frequent words to be more polysemous, and the law of abbreviation, i.e. the tendency of more frequent words to be shorter. In a previous work, we tested the robustness of these Zipfian laws for English, roughly measuring word length in number of characters and distinguishing adult from child speech. In the present article, we extend our study to other languages (Dutch and Spanish) and introduce two additional measures of length: syllabic length and phonemic length. Our correlation analysis indicates that both the meaning-frequency law and the law of abbreviation hold overall in all the analyzed languages. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.csl.2019.03.007 | Computer Speech & Language |
Keywords | Field | DocType |
Zipf’s laws,Polysemy,Brevity,Word frequency | Zipf's law,Syllabic verse,Word lists by frequency,Computer science,Robustness (computer science),Speech recognition,Linguistics,Correlation analysis,Polysemy | Journal |
Volume | ISSN | Citations |
58 | 0885-2308 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernardino Casas | 1 | 0 | 2.03 |
| Antoni Hernández-Fernández | 2 | 35 | 7.02 |
| N. Català | 3 | 4 | 1.12 |
| Ramon Ferrer-i-cancho | 4 | 217 | 35.25 |
| Jaume Baixeries | 5 | 99 | 12.57 |