An eye-tracking evaluation of some parser complexity metrics.

Green, M., 2014. An eye-tracking evaluation of some parser complexity metrics. In: Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR) in conjunction with the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 26 - 30 April 2014, Gothenburg, Sweden, 38 - 46.

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Abstract

Information theoretic measures of incremental parser load were generated from a phrase structure parser and a dependency parser and then compared with incremental eye movement metrics collected for the same temporarily syntactically ambiguous sentences, focussing on the disambiguating word. The findings show that the surprisal and entropy reduction metrics computed over a phrase structure grammar make good candidates for predictors of text readability for human comprehenders. This leads to a suggestion for the use of such metrics in Natural Language Generation (NLG)

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Science & Technology
ID Code:27802
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:09 Mar 2017 16:56
Last Modified:09 Mar 2017 16:56

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