您现在的位置:首页> 外文会议>Annual meeting of the Society for Computation in Linguistics >文献详情

Distributional Effects of Gender Contrasts Across Categories

机器翻译跨类别的性别对比的分布效应

原文传递 原文传递并翻译 加入购物车 收藏
3.3 【6hr】

【摘要】This paper proposes a methodology for comparing grammatical contrasts across categories with the tools of distributional semantics. After outlining why such a comparison is relevant to current theoretical work on gender and other morphosyntactic features, we present intrinsic and extrinsic predictability as instruments for analyzing semantic contrasts between pairs of words. We then apply our method to a dataset of gender pairs of French nouns and adjectives. We find that, while the distributional effect of gender is overall less predictable for nouns than for adjectives, it is heavily influenced by semantic properties of the adjectives.

【作者】Timothee Mickus; Olivier Bonami; Denis Paperno;

【作者单位】Universite Paris Diderot, Laboratoire de linguistique formelle; Universite Paris Diderot, Laboratoire de linguistique formelle; Loria (UMR7503) CNRS Universite de Lorraine;

【年(卷),期】2019,,

【页码】174-184

【总页数】11

【正文语种】eng

【中图分类】;

【关键词】;