2001
DOI: 10.1093/llc/16.3.251
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A pilot study on gender differences in conversational speech on lexical in richness measures

Abstract: Recent research on gender differences in language has mostly addressed cognitive differences. These differences have been observed on different cognitive verbal and nonverbal tasks and conclusions on the variability in language production and comprehension have been drawn from their results. In this paper, a different approach is presented. This pilot study examines lexical richness measures in conversational speech across a total of thirty subjects. All subjects were recorded and transcribed in a conversation… Show more

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Cited by 33 publications
(36 citation statements)
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“…However, these CoreLex results should be interpreted with caution-no attempts were made in this analysis to match for age, gender, or education across groups. It is possible that these person variables could lead to differences in lemma selection (e.g., Kavé, Samuel-Enoch, & Adiv, 2009;Singh, 2001) and could thus be a potential contributor to these group differences. A strength of this study is that we used a picture-description task that is highly constrained, and therefore lexical selection is also likely constrained across person variables (E. Armstrong, 2000;Capilouto et al, 2005;Newman, Groom, Handelman, & Pennebaker, 2008;Ulatowska et al, 2003).…”
Section: Discussionmentioning
confidence: 99%
“…However, these CoreLex results should be interpreted with caution-no attempts were made in this analysis to match for age, gender, or education across groups. It is possible that these person variables could lead to differences in lemma selection (e.g., Kavé, Samuel-Enoch, & Adiv, 2009;Singh, 2001) and could thus be a potential contributor to these group differences. A strength of this study is that we used a picture-description task that is highly constrained, and therefore lexical selection is also likely constrained across person variables (E. Armstrong, 2000;Capilouto et al, 2005;Newman, Groom, Handelman, & Pennebaker, 2008;Ulatowska et al, 2003).…”
Section: Discussionmentioning
confidence: 99%
“…See, for example, Bayard and Krishnayya (2001); Beeching (2002); Colley and Todd (2002); Singh (2001).…”
Section: Discussionmentioning
confidence: 99%
“…Early computational models for detecting gender from text were primarily interested in formal text (E.g., Singh [13] and Herring and Paolillo [8]) although standard-prose blogs were considered in later works (Burger and Henderson [3]; Nowson and Oberlander [12]). …”
Section: Related Workmentioning
confidence: 99%