Discourse-level Annotation over Europarl for Machine Translation: Connectives and Pronouns

This paper describes methods and results for the annotation of two discourse-level phenomena, connectives and pronouns, over a multilingual parallel corpus. Excerpts from Europarl in English and French have been annotated with disambiguation information for connectives and pronouns, for about 3600 tokens. This data is then used in several ways: for cross-linguistic studies, for training automatic disambiguation software, and ultimately for training and testing discourse-aware statistical machine translation systems. The paper presents the annotation procedures and their results in detail, and overviews the first systems trained on the annotated resources and their use for machine translation.

Are there signs of change in gendered language use in children's early reading material?

In this study we investigate the relative frequencies of female and male terms in early reading material for children using the Children’s Printed Word Database as a resource. As roles of females and males have changed over time it is of interest to see if there has been a corresponding change in representations of females and males in children’s books. We carried out analyses regarding different words related to gender. Except for nouns referring to relatives, we found in all word groups a preponderance of male terms. The imbalance of male and female pronouns is equivalent to that reported by Carroll, Davies, and Richman (1971) in a frequency count of printed words in children’s book in the USA conducted some 40 years ago. The results are discussed in terms of gender inequality in reading materials and the development of social mores and stereotypical ideas.