人工语言词汇开发原则:基于实证研究

Jaeyoung Kim
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引用次数: 0

摘要

尽管词汇的重要性并不是主流语言习得研究的焦点,但人们普遍认为词汇是语言的一个组成部分。因此,本文认为在开发人工语言的过程中,应该认真考虑有效的词汇构建策略。为了支持这一论点,对两组(即实验组和对照组)的金在英进行了实验,Seonam大学文学系7-111 Pyeongchon-gil, Songak-myeon, Asan-si, Chungnam, Korea 31556 e - mail: jykim@seonam.ac.kr 2017年8月10日收到;2017年9月2日修订;版权所有©2017 Sejong大学语言研究所《通用语言学报》是一份开放获取期刊。所有文章都是在知识共享署名非商业许可(http://creativecommons.org/licenses/by-nc/3.0)的条款下在线发布的,该许可允许不受限制的非商业使用、分发和在任何媒体上复制,只要原始作品被适当引用。人工语言词汇开发的90个原则:以大学生为研究对象,发现词汇对大学生的阅读理解有显著影响。尽管在初步词汇测试中,两组之间没有统计学上的显著差异,但在英语正式测试中,实验组的阅读理解得分明显高于对照组。结合目前的研究结果,我们认为词汇在提高人工语言阅读能力方面可能起着至关重要的作用。因此,在开发人工语言时,最好创建一组词汇表,这些词汇表在许多自然语言中具有共性,并且在语音、形态和语法上没有标记。有了这组精心挑选的词汇,预计人工语言的使用者将有更好的阅读理解能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Principles of Developing Lexicon in Artificial Languages: Based on an Empirical Study
Even though the importance of the lexicon has not always been focus of mainstream language acquisition research, it is widely accepted that the lexicon is an integral element of language. Therefore, it was argued in this paper that effective strategies to build up the lexicon should be carefully considered when artificial languages are developed. To support this argument, an experiment of two groups (i.e., an experimental and control group) of Jaeyoung Kim Department of Liberal Arts, Seonam University 7-111 Pyeongchon-gil, Songak-myeon, Asan-si, Chungnam, Korea 31556 Email: jykim@seonam.ac.kr Received 10 August, 2017; Revised 2 September, 2017; Accepted 13 September, 2017 Copyright © 2017 Language Research Institute, Sejong University Journal of Universal Language is an Open Access Journal. All articles are distributed online under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. 90 Principles of Developing Lexicon in Artificial Languages: Based on~ university students was carried out and it was found that vocabulary significantly affected their reading comprehension. Even though in the preliminary vocabulary test, no statistically significant differences were detected between the two groups, the experimental group obtained statistically higher scores in reading comprehension than the control group in English official test. Considering the results of the present research, it was proposed that the lexicon may play a crucial role in improving reading abilities in artificial languages. Hence, when developing artificial languages, it is better to creat a set of vocabulary that has commonality in many natural languages and is unmarked phonologically, morphologically, and syntactically. With this carefully chosen set of vocabulary, it is expected that users of the artificial languages would have better reading comprehension.
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