Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)

Xinying Chen, Ramon Ferrer-i-Cancho (Editors)


Anthology ID:
W19-79
Month:
August
Year:
2019
Address:
Paris, France
Venues:
Quasy | SyntaxFest
SIG:
SIGPARSE
Publisher:
Association for Computational Linguistics
URL:
https://aclanthology.org/W19-79
DOI:
Bib Export formats:
BibTeX
PDF:
https://preview.aclanthology.org/dois-2013-emnlp/W19-79.pdf

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Proceedings of the First Workshop on Quantitative Syntax (Quasy, SyntaxFest 2019)
Xinying Chen | Ramon Ferrer-i-Cancho

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SyntaxFest 2019 Invited talk - Dependency distance minimization: facts, theory and predictions
Ramon Ferrer-i-Cancho

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Information-theoretic locality properties of natural language
Richard Futrell

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Which annotation scheme is more expedient to measure syntactic difficulty and cognitive demand?
Jianwei Yan | Haitao Liu

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A quantitative probe into the hierarchical structure of written Chinese
Heng Chen | Haitao Liu

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A Comparative Corpus Analysis of PP Ordering in English and Chinese
Zoey Liu

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Intervention effects in object relatives in English and Italian: a study in quantitative computational syntax
Giuseppe Samo | Paola Merlo

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An explanation of the decisive role of function words in driving syntactic development
Anat Ninio

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Extracting out of the subject in French: experimental evidence
Anne Abeillé | Elodie Winckel

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The relation between dependency distance and frequency
Xinying Chen | Kim Gerdes

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Full valency and the position of enclitics in the Old Czech
Radek Cech | Pavel Kosek | Olga Navratilova | Jan Macutek

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Dependency Length Minimization vs. Word Order Constraints: An Empirical Study On 55 Treebanks
Xiang Yu | Agnieszka Falenska | Jonas Kuhn

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Advantages of the flux-based interpretation of dependency length minimization
Sylvain Kahane | Chunxiao Yan

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Length of non-projective sentences: A pilot study using a Czech UD treebank
Jan Macutek | Radek Cech | Jiri Milicka

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Gradient constraints on the use of Estonian possessive reflexives
Suzanne Lesage | Olivier Bonami

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What can we learn from natural and artificial dependency trees
Marine Courtin | Chunxiao Yan