汉语句法选择预测——基于语料库的ba句和SVO句分析

IF 1.8 1区 文学 0 LANGUAGE & LINGUISTICS Cognitive Linguistics Pub Date : 2021-03-05 DOI:10.1515/cog-2020-0005
Yu Fang, Haitao Liu
{"title":"汉语句法选择预测——基于语料库的ba句和SVO句分析","authors":"Yu Fang, Haitao Liu","doi":"10.1515/cog-2020-0005","DOIUrl":null,"url":null,"abstract":"Abstract This paper investigates the effects of 10 factors on the choice between alternative ba sentences and SVO sentences in Mandarin Chinese. These factors are givenness, definiteness, animacy and pronominality of NP2s, NP2 length, VP length, verb sense, syntactic parallelism, dependency distance, and surprisal. Using corpus data and mixed-effects logistic regression modeling, we find that on the one hand, givenness, syntactic parallelism, and the log-transformed ratio of NP2 length and VP length are significant predictors of the choice between ba sentences and SVO sentences. A new NP2, a large length ratio and a parallel construction predict an SVO sentence rather than a ba sentence. On the other hand, dependency distance and surprisal estimated by the trigram model are effective in predicting the choice between naturally occurring ba/SVO sentences and their alternatives. Naturally occurring sentences are more likely to have shorter dependency distances and smaller surprisal values than the converted sentences. The effects of these five factors on syntactic choice are congruent with results of previous studies, which suggests that some determinants of syntactic choice are shared among languages.","PeriodicalId":51530,"journal":{"name":"Cognitive Linguistics","volume":"32 1","pages":"219 - 250"},"PeriodicalIF":1.8000,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/cog-2020-0005","citationCount":"6","resultStr":"{\"title\":\"Predicting syntactic choice in Mandarin Chinese: a corpus-based analysis of ba sentences and SVO sentences\",\"authors\":\"Yu Fang, Haitao Liu\",\"doi\":\"10.1515/cog-2020-0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper investigates the effects of 10 factors on the choice between alternative ba sentences and SVO sentences in Mandarin Chinese. These factors are givenness, definiteness, animacy and pronominality of NP2s, NP2 length, VP length, verb sense, syntactic parallelism, dependency distance, and surprisal. Using corpus data and mixed-effects logistic regression modeling, we find that on the one hand, givenness, syntactic parallelism, and the log-transformed ratio of NP2 length and VP length are significant predictors of the choice between ba sentences and SVO sentences. A new NP2, a large length ratio and a parallel construction predict an SVO sentence rather than a ba sentence. On the other hand, dependency distance and surprisal estimated by the trigram model are effective in predicting the choice between naturally occurring ba/SVO sentences and their alternatives. Naturally occurring sentences are more likely to have shorter dependency distances and smaller surprisal values than the converted sentences. The effects of these five factors on syntactic choice are congruent with results of previous studies, which suggests that some determinants of syntactic choice are shared among languages.\",\"PeriodicalId\":51530,\"journal\":{\"name\":\"Cognitive Linguistics\",\"volume\":\"32 1\",\"pages\":\"219 - 250\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2021-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1515/cog-2020-0005\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cognitive Linguistics\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1515/cog-2020-0005\",\"RegionNum\":1,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cognitive Linguistics","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1515/cog-2020-0005","RegionNum":1,"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: 6

摘要

摘要本文考察了10个因素对普通话交替ba句和SVO句选择的影响。这些因素包括NP2的给定性、明确性、动物性和代词性、NP2长度、VP长度、动词意义、句法平行性、依存距离和推测性。利用语料库数据和混合效应逻辑回归模型,我们发现,一方面,给定性、句法平行性以及NP2长度和VP长度的对数变换率是ba句和SVO句之间选择的重要预测因素。一个新的NP2,一个大的长度比和一个平行结构预测SVO句子而不是ba句子。另一方面,三元模型估计的依赖距离和奇异值可以有效地预测自然出现的ba/SVO语句及其替代语句之间的选择。自然出现的句子比转换后的句子更有可能具有更短的依赖距离和更小的奇异值。这五个因素对句法选择的影响与以往的研究结果一致,表明句法选择的一些决定因素在语言之间是共同的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Predicting syntactic choice in Mandarin Chinese: a corpus-based analysis of ba sentences and SVO sentences
Abstract This paper investigates the effects of 10 factors on the choice between alternative ba sentences and SVO sentences in Mandarin Chinese. These factors are givenness, definiteness, animacy and pronominality of NP2s, NP2 length, VP length, verb sense, syntactic parallelism, dependency distance, and surprisal. Using corpus data and mixed-effects logistic regression modeling, we find that on the one hand, givenness, syntactic parallelism, and the log-transformed ratio of NP2 length and VP length are significant predictors of the choice between ba sentences and SVO sentences. A new NP2, a large length ratio and a parallel construction predict an SVO sentence rather than a ba sentence. On the other hand, dependency distance and surprisal estimated by the trigram model are effective in predicting the choice between naturally occurring ba/SVO sentences and their alternatives. Naturally occurring sentences are more likely to have shorter dependency distances and smaller surprisal values than the converted sentences. The effects of these five factors on syntactic choice are congruent with results of previous studies, which suggests that some determinants of syntactic choice are shared among languages.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.30
自引率
17.60%
发文量
21
期刊介绍: Cognitive Linguistics presents a forum for linguistic research of all kinds on the interaction between language and cognition. The journal focuses on language as an instrument for organizing, processing and conveying information. Cognitive Linguistics is a peer-reviewed journal of international scope and seeks to publish only works that represent a significant advancement to the theory or methods of cognitive linguistics, or that present an unknown or understudied phenomenon. Topics the structural characteristics of natural language categorization (such as prototypicality, cognitive models, metaphor, and imagery); the functional principles of linguistic organization, as illustrated by iconicity; the conceptual interface between syntax and semantics; the experiential background of language-in-use, including the cultural background; the relationship between language and thought, including matters of universality and language specificity.
期刊最新文献
Using constructions to measure developmental language complexity The role of constructions in understanding predictability measures and their correspondence to word duration A related-event approach to event integration in Japanese complex predicates: iconicity, frequency, or efficiency? Multimodal constructions revisited. Testing the strength of association between spoken and non-spoken features of Tell me about it The role of entrenchment and schematisation in the acquisition of rich verbal morphology
×
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