爱尔兰儿童电视节目的词汇丰富性:跨代比较

Q2 Arts and Humanities
Teanga Pub Date : 2018-11-19 DOI:10.35903/TEANGA.V25I0.60
Anna Ceroni, K. McTiernan, Francesca La Morgia
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引用次数: 0

摘要

本研究调查了儿童节目的词汇丰富程度是否在一代人的时间里发生了变化,因此比较了1992年和2017年提供的节目。三个小时的节目是用计算机化语言分析软件(MacWhinney, 1984)进行来源、转录和编码的。CLAN是一种语言分析软件,最初是为了分析儿童语言而开发的,它允许对语言数据进行详细的转录和分析,包括词汇多样性的统计测量(Pye & MacWhinney, 1994)。计算和比较编程的总字数、每分钟字数、词汇多样性、对象、动作、属性和情感状态的总字数以及有指称者在场时的对象、动作、属性和情感状态的总字数。随着时间的推移,儿童电视节目的词汇量减少了。随着时间的推移,在程序中有指示物存在的情况下所说的单词数量增加了,这种增加对于动作和属性词来说意义重大。这一发现模式反映了儿童电视节目趋向于制作词汇复杂性较低的节目,这可能有助于儿童的词汇学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Vocabulary Richness of Children’s Television in Ireland: A Cross-generational Comparison
This research investigates whether the vocabulary richness of children’s programming has changed over one generation, and therefore compares the programmes offered in 1992 to those offered in 2017. Three hours of programming were sourced, transcribed and coded using the Computerised Language Analysis (CLAN) software (MacWhinney, 1984). CLAN is a language analysis software originally developed for the purpose of analysing child language which allows for the detailed transcription and analysis of linguistic data, including statistical measures of lexical diversity (Pye & MacWhinney, 1994). The total words, words per minute, vocabulary diversity, total object, action, attribute and affective-state words as well as the total object, action, attribute and affective-state words spoken in the presence of a referent were calculated and compared for the programming. The vocabulary richness of children’s television has decreased over time. The number of words spoken in the presence of referents in the programming has increased over time, with this increase being significant for action and attribute words. This pattern of findings reflects a trend in children’s television towards the production of programmes of reduced lexical complexity which may facilitate children’s word learning. 
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来源期刊
Teanga
Teanga Arts and Humanities-Language and Linguistics
CiteScore
0.70
自引率
0.00%
发文量
13
审稿时长
26 weeks
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