An eye-tracking evaluation of some parser complexity metrics

Journal: Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations, PITR 2014 at the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014

Pages: 38-46

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).

https://eprints.bournemouth.ac.uk/27802/

Source: Scopus

An eye-tracking evaluation of some parser complexity metrics

Authors: Green, M.J.

Conference: 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations

Dates: 26-30 April 2014

Journal: Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR) @ EACL 2014

Pages: 38-46

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)

https://eprints.bournemouth.ac.uk/27802/

http://aclweb.org/anthology//W/W14/W14-1205.pdf

Source: Manual

An eye-tracking evaluation of some parser complexity metrics

Authors: Green, M.

Conference: 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)

Pages: 38-46

Publisher: Association for Computational Linguistics

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)

https://eprints.bournemouth.ac.uk/27802/

http://mcs.open.ac.uk/nlg/pitr2014/

Source: BURO EPrints