旧任务的新工具:马来语调查的数字化方法

Q4 Arts and Humanities
Z. M. Don, G. Knowles
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引用次数: 0

摘要

为语言分析设计的数字工具提供了处理旧任务的新方法,现在它们通常能够完成以前不可能完成的任务。本文的工作基于MaLex,这是一个数据表和程序的集合,旨在表示马来语使用者的直观知识,并为解决语言分析中的问题提供基础设施。本文使用MaLex语法分析器来研究马来语的形容词系统,包括最高级和方式状语的形成。尽管语言学家总是能够识别可能的句法规则并在小数据集上进行尝试,但自动语法分析器能够从大型语料库中提取示例,并且在确定规则的顺序和跟踪它们的交互方面比语言学家有效得多。由于本文中的例子也是句法成分,它们是翻译的合适单位,在这种情况下,它们被翻译成英语。语音成分将成分的语音表示连接起来以形成更高级别的结构,并且计划但尚未完成的对Malex的扩展旨在增加可以用作语言分析输入的波形注释的范围。马来语是这项研究的合适语言,因为尽管马来语作为东盟主要语言之一的重要性尚未得到充分研究,但它有大量的书面记录,这使得汇编大型语料库进行研究成为可能。人类语言学家可以从极少量的数据开始,MaLex开创的方法也是如此。因此,MaLex可以被证明是一个适合对研究不足的语言进行数字调查的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Tools for Old Tasks: A Digital Approach to the Investigation of the Malay Language
Digital tools designed for linguistic analysis offer new ways of approaching old tasks, and they now routinely enable tasks which were formerly impossible. The work for this paper is based on MaLex, which is a collection of data tables and procedures designed to represent the intuitive knowledge of speakers of Malay, and provides the infrastructure for the solution of problems in linguistic analysis. This paper reports the use of the MaLex parser to investigate the adjectival system of Malay, including superlatives and the formation of manner adverbials. Although linguists have always been able to identify possible syntactic rules and try them out on small datasets, the automatic parser is able to extract examples from a large corpus, and it is much more effective than a linguist in ascertaining the ordering of rules, and tracing their interaction. Since the examples in this paper are also syntactic constituents, they are the appropriate units for translation, and in this case they are translated into English. The phonological component concatenates the phonological representations of constituents to form higher level structures, and an extension to Malex which is planned but not yet completed is intended to increase the range of waveform annotations that can be used as input for linguistic analysis. Malay is a suitable language for this research, because although it is under-investigated in relation to its importance as one of the main languages of ASEAN, it has extensive written records which make it possible to compile large corpora for research. A human linguist can get started on a very small amount of data, and the same is true of the approach pioneered by MaLex. For this reason, MaLex could prove to be a suitable model for the digital investigation of insufficiently researched languages.
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来源期刊
Journal on Asian Linguistic Anthropology
Journal on Asian Linguistic Anthropology Social Sciences-Linguistics and Language
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