Abstract
Theoretical and empirical studies prove the strong relationship between social factors and the individual linguistic attitudes. Different social categories, such as gender, age, education, profession and social status, are strongly related with the linguistic diversity of people’s everyday spoken and written interaction. In this paper, sociolinguistic studies addressed to gender differentiation are overviewed in order to identify how various linguistic characteristics differ between women and men. Thereafter, it is examined if and how these qualitative features can become quantitative metrics for the task of gender identification from texts on web blogs. The evaluation results showed that the “syntactic complexity”, the “tag questions”, the “period length”, the “adjectives” and the “vocabulary richness” characteristics seem to be significantly distinctive with respect to the author’s gender.
| Original language | English |
|---|---|
| Pages (from-to) | 65-84 |
| Journal | Journal of Quantitative Linguistics |
| Volume | 24 |
| Issue number | 1 |
| Early online date | 7 Oct 2016 |
| DOIs | |
| Publication status | Published - 2 Jan 2017 |
Keywords
- Sociolinguistics
- gender identification
- t-test
- statistical analysis
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