Menzerath-Altmann Law in Consecutive and Simultaneous Interpreting: Insights into Varied Cognitive Processes and Load

IF 0.7 2区 文学 0 LANGUAGE & LINGUISTICS Journal of Quantitative Linguistics Pub Date : 2022-01-16 DOI:10.1080/09296174.2022.2027657
Xinlei Jiang, Yue Jiang
{"title":"Menzerath-Altmann Law in Consecutive and Simultaneous Interpreting: Insights into Varied Cognitive Processes and Load","authors":"Xinlei Jiang, Yue Jiang","doi":"10.1080/09296174.2022.2027657","DOIUrl":null,"url":null,"abstract":"ABSTRACT Notwithstanding theoretical simulations of distinctive cognitive processes and load of consecutive (CI) and simultaneous interpreting (SI), quantitative linguistic inquiry into their outputs is needed for solid empirical evidence. As a fundamental law of quantitative linguistics, Menzerath–Altmann Law (MAL) mirrors the economic processing of linguistic information and complex dynamic language system. Given its extensive validation at various linguistic levels and predictive power of its parameters in register, language and authorship differentiation, MAL is worthy of being applied to interpreting studies. We endeavour to investigate whether interpreted languages follow the MAL and reveal varied cognitive load of CI versus SI, as manifested by different MAL fitting models. Results show that (1) both CI and SI outputs follow the MAL; (2) SI processing involves more diversified structural information and shows a greater tendency of shortening the clauses of a sentence with increased sentence length, than CI processing, expressed by significantly higher a and lower b in SI models than that in CI models. Our findings suggest the disparate language representations are shaped by cognitive capacity limitations and interpreting modalities, and reveal how language system dynamically re-regulates and reorganizes the linguistic information to accommodate environmental settings from the perspective of synergetic linguistics.","PeriodicalId":45514,"journal":{"name":"Journal of Quantitative Linguistics","volume":"29 1","pages":"541 - 559"},"PeriodicalIF":0.7000,"publicationDate":"2022-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quantitative Linguistics","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/09296174.2022.2027657","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACT Notwithstanding theoretical simulations of distinctive cognitive processes and load of consecutive (CI) and simultaneous interpreting (SI), quantitative linguistic inquiry into their outputs is needed for solid empirical evidence. As a fundamental law of quantitative linguistics, Menzerath–Altmann Law (MAL) mirrors the economic processing of linguistic information and complex dynamic language system. Given its extensive validation at various linguistic levels and predictive power of its parameters in register, language and authorship differentiation, MAL is worthy of being applied to interpreting studies. We endeavour to investigate whether interpreted languages follow the MAL and reveal varied cognitive load of CI versus SI, as manifested by different MAL fitting models. Results show that (1) both CI and SI outputs follow the MAL; (2) SI processing involves more diversified structural information and shows a greater tendency of shortening the clauses of a sentence with increased sentence length, than CI processing, expressed by significantly higher a and lower b in SI models than that in CI models. Our findings suggest the disparate language representations are shaped by cognitive capacity limitations and interpreting modalities, and reveal how language system dynamically re-regulates and reorganizes the linguistic information to accommodate environmental settings from the perspective of synergetic linguistics.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
交替传译和同声传译中的Menzerath-Altmann定律:对不同认知过程和负荷的洞察
摘要尽管理论上模拟了不同的认知过程以及连续口译和同声传译的负荷,但需要对其输出进行定量的语言学研究,以获得可靠的经验证据。作为数量语言学的一条基本定律,Menzerath–Altmann定律(MAL)反映了语言信息和复杂动态语言系统的经济处理。鉴于其在各个语言层面的广泛验证,以及其参数在语域、语言和作者区分方面的预测能力,MAL值得应用于口译研究。我们试图调查解释语言是否遵循MAL,并揭示CI与SI的不同认知负荷,如不同的MAL拟合模型所示。结果表明:(1)CI和SI输出均遵循MAL;(2) 与CI处理相比,SI处理涉及更多样化的结构信息,并表现出随着句子长度的增加而缩短句子分句的更大趋势,SI模型中的a和b显著高于CI模型。我们的研究结果表明,不同的语言表征是由认知能力限制和解释模式形成的,并从协同语言学的角度揭示了语言系统如何动态地重新调节和重组语言信息以适应环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Exploring Colligation Diversity and Grammaticalization in Chinese: An Entropy-Based Approach An Information-Theoretic Approach to Morphosyntactic Complexity in English, Dutch and German Quantifying Syntactic Complexity in Czech Texts: An Analysis of Mean Dependency Distance and Average Sentence Length Across Genres The Menzerath-Altmann Law from a Physical Perspective: The Case of Written Chinese Characters On an Interaction Model of General Language Change
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1