Child nominal derivation and parental input: Evidence from morphology-rich Russian

Author:

V. Kazakovskaya Victoria1

Affiliation:

1. Institute for Linguistic Studies (Russian Academy of Sciences)

Abstract

The purpose of current article is to describe the early phases of first language acquisition of nominal derivatives in morphology-rich Russian approaching an ideal inflecting-fusional language type. The results are based on the naturalistic longitudinal observations of two typically developing monolingual children (1;5–3;0) growing up in middle socio-economic status families (33 hours of recorded spontaneous speech). It has been revealed that derivation morphology, viz. affixation, starts to develop early and precedes compounding. Within nouns, suffixation is the main method of word-formation. Prefixation and mixed methods are rare. Although nouns can be formed from almost any grammatical classes, they are mainly formed from nouns in child speech. Early compounds can be described as right-headed endocentric ones where their main component is a noun or a verb. The preference for certain patterns and models rarely differs in child speech corpora. Both children have similar development of semantic categories and only a few innovations. The morpheme and semantic (cognitive) complexity of nominal derivatives in child speech increase by the end of the observation period. The influence of parental input is significant for the mechanisms of derivation morphology acquisition. This is confirmed by the presence of a positive correlation for both lemmas and tokens of nominal derivatives. The most frequent patterns in parental input are acquired by a child earlier.

Publisher

FSFEI HE Don State Technical University

Subject

Cognitive Neuroscience,Experimental and Cognitive Psychology,Education

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3