@InProceedings{mandravickaite-krilavivcius:2017:BSNLP,
  author    = {Mandravickaite, Justina  and  Krilavi\v{c}ius, Tomas},
  title     = {Stylometric Analysis of Parliamentary Speeches: Gender Dimension},
  booktitle = {Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {102--107},
  abstract  = {Relation between gender and language has been studied by many authors, however,
	there is still some uncertainty left regarding gender influence on language
	usage in the professional environment. Often, the studied data sets are too
	small or texts of individual authors are too short in order to capture
	differences of language usage wrt gender successfully. This study draws from a
	larger corpus of speeches transcripts of the Lithuanian Parliament (1990-2013)
	to explore language differences of political debates by gender via stylometric
	analysis. Experimental set up consists of stylistic features that indicate
	lexical style and do not require external linguistic tools, namely the most
	frequent words, in combination with unsupervised machine learning algorithms.
	Results show that gender differences in the language use remain in professional
	environment not only in usage of function words, preferred linguistic
	constructions, but in the presented topics as well.},
  url       = {http://www.aclweb.org/anthology/W17-1416}
}