乌尔都语-英语小句-内部转换:对矩阵语言框架模型的评价

Asad Ali, Qaisar Jabbar, Nazir A. Malik, Humayun Baber Kiani, Zumra Noreen, L. Toan
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引用次数: 2

摘要

本文的核心是将矩阵语言框架(MLF)模型应用于乌尔都语-英语小句内转换,以确定矩阵语言框架模型是否可能有效地解释双语语言能力。为此,本研究采用了定性方法。作为经验证据,我们将80名乌尔都语-英语双语者分为四组,每组20人,然后在自然主义的环境中采集数据。在非正式场合通过非参与者访谈进行录音后,将收集到的数据进行转录。MLF模型假设两种语言融合在一个混合字符串的单个Intra-CP中。线性主导语言是矩阵语言(ML),它只包含后期的外部系统语素。奇数是指提供统一满足系统语素原则(SMP)和语素顺序原则(MOP)的内容语素的嵌入式语言。本研究对乌尔都语-英语双语者的自然主义数据进行了广泛的研究,突出了创新的结果:它预测矩阵语言(ML)在内部cp中是不确定的,没有后期的外部系统语素线性化一个语码转换的句子,无与伦比的成分和子句结构,系统语素原则(SMP)和语素顺序原则(SMP)提供了非法输出并因此计算出不符合语法的句子;矩阵语言框架模型冗余且不一致地解释了乌尔都语-英语的自然数据,其原理无法计算乌尔都语-英语的自然数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clausal-Internal Switching in Urdu-English: An Evaluation of the Matrix Language Frame Model
The core of this paper is to employ the Matrix Language Frame (MLF) model on Urdu-English clausal-internal switching to identify whether the Matrix Language Frame model potentially accounts for the bilingual linguistic competence efficiently. For this, a qualitative methodology has been adopted for this study. For empirical evidence, data has been taken from eighty Urdu- English bilinguals within a naturalistic setting after categorizing them into four groups, and each group has 20 participants. After conducting audio-recording through non-participant interviews in an informal setting, the collected data was transcribed. The MLF model posited that two languages are fused in a single Intra-CP of a mixed string. The linearly dominant language is Matrix language (ML) that incorporates only late outsider system morphemes. Odd is Embedded language (EL) that supplies content morphemes satisfying the system morpheme principle (SMP) uniformly and morpheme order principle (MOP). The present study ubiquitously scrutinizes that naturalistic data of Urdu-English bilinguals highlights the innovative results: it predicts that Matrix language (ML) is unidentified in intra-CP, no late outsider system morphemes linearize a code-switched sentence, unparalleled constituent and clausal structure, System Morpheme Principle (SMP) and Morpheme Order Principle (SMP) provides the illegitimate output and computes ungrammatical sentences hence; the Matrix Language Frame model redundantly and inconsistently accounts for Urdu-English naturalistic data and its principles have failed to compute Urdu-English naturalistic data.
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