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A Probabilistic Approach in Historic...

Scrivner, Olga B.

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A Probabilistic Approach in Historical Linguistics Word Order Change in Infinitival Clauses: from Latin to Old French.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Probabilistic Approach in Historical Linguistics Word Order Change in Infinitival Clauses: from Latin to Old French./
作者:	Scrivner, Olga B.
面頁冊數:	278 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-12(E), Section: A.
Contained By:	Dissertation Abstracts International76-12A(E).
標題:	Linguistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3714098
ISBN:	9781321911602

A Probabilistic Approach in Historical Linguistics Word Order Change in Infinitival Clauses: from Latin to Old French.
Scrivner, Olga B.

A Probabilistic Approach in Historical Linguistics Word Order Change in Infinitival Clauses: from Latin to Old French. - 278 p.

Source: Dissertation Abstracts International, Volume: 76-12(E), Section: A.

Thesis (Ph.D.)--Indiana University, 2015.

This thesis investigates word order change in infinitival clauses from Object-Verb (OV) to Verb-Object (VO) in the history of Latin and Old French. By applying a variationist approach, I examine a synchronic word order variation in each stage of language change, from which I infer the character, periodization and constraints of diachronic variation. I also show that in discourse-configurational languages, such as Latin and Early Old French, it is possible to identify pragmatically neutral contexts by using information structure annotation. I further argue that by mapping pragmatic categories into a syntactic structure, we can detect how word order change unfolds. For this investigation, the data are extracted from annotated corpora spanning several centuries of Latin and Old French and from additional resources created by using computational linguistic methods. The data are then further codified for various pragmatic, semantic, syntactic and sociolinguistic factors. This study also evaluates previous factors proposed to account for word order alternation and change. I show how information structure and syntactic constraints change over time and propose a method that allows researchers to differentiate a stable word order alternation from alternation indicating a change. Finally, I present a three-stage probabilistic model of word order change, which also conforms to traditional language change patterns.

ISBN: 9781321911602Subjects--Topical Terms:

524476
Linguistics.

A Probabilistic Approach in Historical Linguistics Word Order Change in Infinitival Clauses: from Latin to Old French.
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245 1 2 $a A Probabilistic Approach in Historical Linguistics Word Order Change in Infinitival Clauses: from Latin to Old French.
300 $a 278 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-12(E), Section: A.
500 $a Advisers: Barbara Vance; Sandra Kubler.
502 $a Thesis (Ph.D.)--Indiana University, 2015.
520 $a This thesis investigates word order change in infinitival clauses from Object-Verb (OV) to Verb-Object (VO) in the history of Latin and Old French. By applying a variationist approach, I examine a synchronic word order variation in each stage of language change, from which I infer the character, periodization and constraints of diachronic variation. I also show that in discourse-configurational languages, such as Latin and Early Old French, it is possible to identify pragmatically neutral contexts by using information structure annotation. I further argue that by mapping pragmatic categories into a syntactic structure, we can detect how word order change unfolds. For this investigation, the data are extracted from annotated corpora spanning several centuries of Latin and Old French and from additional resources created by using computational linguistic methods. The data are then further codified for various pragmatic, semantic, syntactic and sociolinguistic factors. This study also evaluates previous factors proposed to account for word order alternation and change. I show how information structure and syntactic constraints change over time and propose a method that allows researchers to differentiate a stable word order alternation from alternation indicating a change. Finally, I present a three-stage probabilistic model of word order change, which also conforms to traditional language change patterns.
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