2011 Ardila et al Gender differences in cognitive development

Term Extraction or Automatic Term Recognition (ATR) is a field in language technology that involves “extraction of technical terms from domain-specific language

Statistically significant gender differences were found in certain aspects of the ASI-6 domains: men have more problems of physical health, legal issues, and alcohol and

The variables predominating in the list are those related to the natural resources governance system (governance institutions, property right system, collective-choice rules,

Table 2 shows the effect sizes between the background variables gender, immigration background and home language and the PISA scores in science, reading, and

In relation to language knowledge of L1/vehicular language (The teacher has knowledge of the L1/vehicular language in terms of fluency, accuracy, lexicon and

Furthermore, gender differences found in these variables, specially related to fear of cockroaches, are in line with the differences found in valence and arousal ratings of

Finally, future work and conclusions are exposed. The research work described in this Dis- sertation has led to novel contributions which are mainly focused on three areas, namely,

Nevertheless, a more in-depth interpretation of the results suggests that gender differences may, in general, be more acute in relation to generic issues, such as the