國立虎尾科技大學 |

The Influence of Syntactic Frequencies on Human Sentence Processing.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	The Influence of Syntactic Frequencies on Human Sentence Processing./
作者:	van Schijndel, Marten.
面頁冊數:	1 online resource (143 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-08(E), Section: A.
Contained By:	Dissertation Abstracts International79-08A(E).
標題:	Linguistics. -
電子資源:	click for full text (PQDT)
ISBN:	9780355791020

The Influence of Syntactic Frequencies on Human Sentence Processing.
van Schijndel, Marten.

The Influence of Syntactic Frequencies on Human Sentence Processing. - 1 online resource (143 pages)

Source: Dissertation Abstracts International, Volume: 79-08(E), Section: A.

Thesis (Ph.D.)--The Ohio State University, 2017.

Includes bibliographical references

Humans are sensitive to the frequency of events, and this sensitivity is reflected in a wide range of behavioral and neural measures. This thesis focuses on the ways in which syntactic co-occurrence frequencies affect human language comprehension.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355791020Subjects--Topical Terms:

557829
Linguistics.
Index Terms--Genre/Form:

554714
Electronic books.

The Influence of Syntactic Frequencies on Human Sentence Processing.
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500 $a Source: Dissertation Abstracts International, Volume: 79-08(E), Section: A.
500 $a Adviser: William Schuler.
502 $a Thesis (Ph.D.)--The Ohio State University, 2017.
504 $a Includes bibliographical references
520 $a Humans are sensitive to the frequency of events, and this sensitivity is reflected in a wide range of behavioral and neural measures. This thesis focuses on the ways in which syntactic co-occurrence frequencies affect human language comprehension.
520 $a Previous psycholinguistic findings seemed to show that humans are not sensitive to verbal subcategorization frequencies. Instead, this work demonstrates that sensitivity to fine-grained syntactic frequencies provide a confounding explanation for those findings. A left-corner parser is defined that can be used to compute a variety of psycholinguistic complexity metrics in order to better control for such syntactic influences in future studies.
520 $a One of the strongest and most commonly used psycholinguistic measures output by the parser is surprisal (Hale, 2001; Levy, 2008), which estimates frequency-based comprehension difficulty based on the probability of an observation conditioned on the observations that preceded it. When used to predict reading times, however, this work shows that surprisal is mathematically inconsistent since it conditions on the immediately adjacent lexical material despite the fact that reading proceeds via saccades over non-adjacent material. This mathematical problem with surprisal can be corrected by summing surprisal over each saccade region to enable the measure to account for the probability of each new span of text conditioned on the preceding material that was actually observed. The corrected version of lexical (n-gram) surprisal, cumulative n-gram surprisal, obtains a better fit to reading times than the uncorrected version, though the correction does not work for surprisal over syntactic (probabilistic context-free; PCFG) structure.
520 $a In addition to the frequency of observed events, this work explores the influence of frequency in how humans predict upcoming events. In particular, uncertainty about upcoming material (entropy) is shown to influence reading times, corroborating previous results in the literature (Roark et al., 2009; Angele et al., 2015). Unfortunately, the entropy over upcoming material is very expensive to compute, and so can be difficult to control for in psycholinguistic experiments. This work shows that the surprisal (n-gram and PCFG) of upcoming words, which is inexpensive to compute, can approximate the influence of that uncertainty on self-paced reading times.
520 $a The results in this thesis indicate that humans are sensitive to both lexical sequence frequencies and syntactic frequencies, and this work concludes by providing a proof-of-concept model of syntactic acquisition that links the two types of frequencies. The acquisition model demonstrates how a learner that is sensitive to linear ordering frequencies could end up acquiring long-distance dependencies, typically conceived as a hallmark of hierarchical syntax, in a fashion that replicates the acquisition timeline of children.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Linguistics. $3 557829
650 4 $a Psychology. $3 555998
650 4 $a Computer science. $3 573171
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710 2 $a The Ohio State University. $b Linguistics. $3 1184059
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10801049 $z click for full text (PQDT)