Quantitative Analysis of Spoken Discourse Using Memoirs of Old-time Moviegoers

IF 0.7 2区 文学 0 LANGUAGE & LINGUISTICS
Sevil Çaliskan, F. Can, Hasan Akbulut, S. R. Öztürk
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引用次数: 0

Abstract

ABSTRACT We present the first quantitative analysis of spoken discourse for the Turkish language using memoirs of a group of old-time moviegoers of varying age groups whose birth year spreads over a period of four decades ranging from the 1930s to the 1960s. They tell their experiences by answering a set of questions. Their responses are evaluated comprehensively with the expectation that various attributes of the participants are reflected by their everyday speaking language. We also investigate their language characteristics in terms of their vocabulary richness and word usage. The results show that the age and gender of the participants can be inferred to some extent from their speech, as is the case for written text. However, the difference is not significant in the language use of younger and older respondents in terms of vocabulary richness and archaic word usage. With additional data obtained for some participants, it is shown that text can be accurately identified as being either spoken or written; however, the spoken text of a person can only be differentiated from their written text with the accuracy level of a random guess.
用老电影观众回忆录对口语话语的定量分析
我们使用一群不同年龄组的旧时代电影观众的回忆录,对土耳其语的口语话语进行了第一次定量分析,这些电影观众的出生年份分布在从20世纪30年代到60年代的40年间。他们通过回答一系列问题来讲述自己的经历。他们的回答被综合评估,期望参与者的各种属性反映在他们的日常口语中。我们还从词汇丰富度和词汇使用两方面考察了他们的语言特征。结果表明,在某种程度上,参与者的年龄和性别可以从他们的讲话中推断出来,就像书面文本一样。然而,在词汇丰富度和古词使用方面,青年和老年被调查者的语言使用差异不显著。对一些参与者获得的额外数据表明,文本可以准确地识别为口头或书面;然而,一个人的口语文本只能通过随机猜测的准确度来区分他们的书面文本。
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来源期刊
CiteScore
2.90
自引率
7.10%
发文量
7
期刊介绍: The Journal of Quantitative Linguistics is an international forum for the publication and discussion of research on the quantitative characteristics of language and text in an exact mathematical form. This approach, which is of growing interest, opens up important and exciting theoretical perspectives, as well as solutions for a wide range of practical problems such as machine learning or statistical parsing, by introducing into linguistics the methods and models of advanced scientific disciplines such as the natural sciences, economics, and psychology.
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