@inproceedings{sinha-etal-2014-design,
title = "Design and Development of an Online Computational Framework to Facilitate Language Comprehension Research on {I}ndian Languages",
author = "Sinha, Manjira and
Dasgupta, Tirthankar and
Basu, Anupam",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/132_Paper.pdf",
pages = "203--210",
abstract = "In this paper we have developed an open-source online computational framework that can be used by different research groups to conduct reading researches on Indian language texts. The framework can be used to develop a large annotated Indian language text comprehension data from different user based experiments. The novelty in this framework lies in the fact that it brings different empirical data-collection techniques for text comprehension under one roof. The framework has been customized specifically to address language particularities for Indian languages. It will also offer many types of automatic analysis on the data at different levels such as full text, sentence and word level. To address the subjectivity of text difficulty perception, the framework allows to capture user background against multiple factors. The assimilated data can be automatically cross referenced against varying strata of readers.",
}
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%0 Conference Proceedings
%T Design and Development of an Online Computational Framework to Facilitate Language Comprehension Research on Indian Languages
%A Sinha, Manjira
%A Dasgupta, Tirthankar
%A Basu, Anupam
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F sinha-etal-2014-design
%X In this paper we have developed an open-source online computational framework that can be used by different research groups to conduct reading researches on Indian language texts. The framework can be used to develop a large annotated Indian language text comprehension data from different user based experiments. The novelty in this framework lies in the fact that it brings different empirical data-collection techniques for text comprehension under one roof. The framework has been customized specifically to address language particularities for Indian languages. It will also offer many types of automatic analysis on the data at different levels such as full text, sentence and word level. To address the subjectivity of text difficulty perception, the framework allows to capture user background against multiple factors. The assimilated data can be automatically cross referenced against varying strata of readers.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/132_Paper.pdf
%P 203-210
Markdown (Informal)
[Design and Development of an Online Computational Framework to Facilitate Language Comprehension Research on Indian Languages](http://www.lrec-conf.org/proceedings/lrec2014/pdf/132_Paper.pdf) (Sinha et al., LREC 2014)
ACL