Actionality classes and cross-linguistic coding tendencies.Typological research and development of an analysis software tool
Actionality classes and cross-linguistic coding tendencies.Typological research and development of an analysis software tool
批准号:
357550571
负责人:
Professor Dr. Gerhard Heyer
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2017
资助国家:
德国
项目状态:
已结题
起止时间:
2016-12-31 至 2020-12-31
中文摘要
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英文摘要
This project will document and explain a grammatical universal, i.e. cross-linguistic coding tendencies in verbs with actional classes and aspect classes by demonstrating a link between cross-linguistic patterns of language form and general trends of language use. Essential components of the analysis of this universal will be carried out by an analysis software tool which will be developed during the project. The claim of the proposal is that frequently expressed meanings tend to be expressed by zero-coded forms (form-frequency correspondences). The quantities frequency and form are components of Zipfs law (1935) which will be pursued by extending the frequency-form relation to a frequency-form/function-relation, since the coding asymmetries express distinctions between actional and aspect classes of verbs and have semantic implications: With zero-coding, telic verbs tend to express perfective aspect and atelic verbs imperfective aspect, respectively, with overt-coding it is the other round. The form (coding)-frequency-correspondence will be examined inspecting the asymmetry in the coding of atelic/telic verbs in a number of European and non-European languages. In general, combinations that occur more frequently tend to be zero-coded overtly across languages, while the combinations that occur more rarely tend to be coded overtly. The proposed explanation is that higher-frequency and thus higher probability items are more predictable than lower-frequency items, and predictable content need not be expressed overtly or can be expressed by shorter forms. The hypothesis is that frequency is just one of a set of factors that constitute predictability, and it is aimed at disclosing and weighting these factors. Form-frequency correspondences make language structure more efficient (Zipf 1949), but it still needs to be shown that there exists a mechanism that creates and maintains these efficient structures: recurrent instances of language change driven by the speakers preference for user-friendly utterances. The project thus combines cross-linguistic research on grammar and cross-linguistic corpus research. Form-frequency correspondences are still largely overlooked and ignored by linguists, so the current project will have a significant impact on our general understanding of human language. The technological output of this project will be analysis software tool. In order to disclose components of predictability, the tool provides a couple of statistical entropy based and probability based techniques. This part of the project comprises not only software programming but also evaluation and interpretation of the results and contributes essentially to theory forming. The results will allow for deeper insights what we mean when talking about predictably of coding asymmetries. Future research will deal with the projects topics by means of formalisms such as stochastic optimality theory (Bresnan et al. 2001) or evolutionary game theory (Jäger 2007).
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Interaction of Information Content and Frequency as Predictors of Verbs' Lengths
信息内容和频率的相互作用作为动词长度的预测因子
DOI:
10.1007/978-3-030-20485-3_21
发表时间:
2019
期刊:
影响因子:
--
作者:
[Michael Richter, Yuki Kyogoku, Max Kölbl]
通讯作者:
Max Kölbl
Aspectual coding asymmetries: Predicting aspectual verb lengths by the effects frequency and information content
体态编码不对称:通过效果频率和信息内容预测体态动词长度
DOI:
10.2478/topling-2019-0009
发表时间:
2019
期刊:
Topics in Linguistics
影响因子:
0.4
作者:
[Michael Richter, Giuseppe Celano]
通讯作者:
Giuseppe Celano
Information distribution and language structure - correlation of grammatical expressions of the noun/verb distinction and lexical information content in Tagalog, Indonesian and German
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批准号:442315837
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项目类别:Research Grants
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资助金额:$0.0万
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财政年份:2020
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负责人:Professor Dr. Gerhard Heyer
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依托单位:
NN/FST - Unsupervised OCR-Postcorrection based on Neural Networks and Finite-state Transducers
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批准号:394341797
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项目类别:Research data and software (Scientific Library Services and Information Systems)
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资助金额:$0.0万
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财政年份:2018
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负责人:Professor Dr. Gerhard Heyer
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依托单位:
Vernetzte Repositorien: Automatische Anreicherung von OAI Metadaten mit Hilfe computerlinguistischer Verfahren und Entwicklung von Services für die inhaltsorientierte Vernetzung von Repositorien (Ausschreibung Repositorien)
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批准号:94533356
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项目类别:Science Communication, Research Data, eResearch (Scientific Library Services and Information Systems)
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资助金额:$0.0万
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财政年份:2009
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负责人:Professor Dr. Gerhard Heyer
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依托单位:
海外基金