Dependency Length Minimization vs. Word Order Constraints: An Empirical Study On 55 Treebanks
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10427145" target="_blank" >RIV/00216208:11320/19:10427145 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.aclweb.org/anthology/W19-7911" target="_blank" >https://www.aclweb.org/anthology/W19-7911</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Dependency Length Minimization vs. Word Order Constraints: An Empirical Study On 55 Treebanks
Popis výsledku v původním jazyce
This paper expands on recent studies of very large treebank collections aiming to find empiricalevidence for language universals, specifically for the functionally motivated Dependency LengthMinimization (DLM) hypothesis. According to DLM grammars are set up to support the expressionof utterances in a way that minimizes the distance between heads and dependents. Weconstruct several incremental baselines that lead from the random free order linearization to thereal language by adding various word order constraints. We conduct detailed analyses on 55 treebanksand find that all of the constraints contribute to DLM.We show that DLM on the one handshapes the regularity and on the other motivates the attested exceptions from canonical word order.The findings contribute to a more fine-grained, differentiated picture of the role of DLM inthe interaction of competing constraints on grammar and language use.
Název v anglickém jazyce
Dependency Length Minimization vs. Word Order Constraints: An Empirical Study On 55 Treebanks
Popis výsledku anglicky
This paper expands on recent studies of very large treebank collections aiming to find empiricalevidence for language universals, specifically for the functionally motivated Dependency LengthMinimization (DLM) hypothesis. According to DLM grammars are set up to support the expressionof utterances in a way that minimizes the distance between heads and dependents. Weconstruct several incremental baselines that lead from the random free order linearization to thereal language by adding various word order constraints. We conduct detailed analyses on 55 treebanksand find that all of the constraints contribute to DLM.We show that DLM on the one handshapes the regularity and on the other motivates the attested exceptions from canonical word order.The findings contribute to a more fine-grained, differentiated picture of the role of DLM inthe interaction of competing constraints on grammar and language use.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
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Návaznosti
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Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů