Paper Info
Title
Design and Development of an Online Computational Framework to Facilitate Language Comprehension Research on Indian Languages.
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.
Year
Venue
Keywords
2014
LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
language comprehension,text readability,Indian languages,empirical data collection,online computational framework
Field
DocType
Citations 
Subjectivity,Computer science,Artificial intelligence,Natural language processing,Text comprehension,Novelty,Perception,Linguistics,Sentence,Comprehension
Conference
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Manjira Sinha12212.94
Tirthankar Dasgupta27626.41
Anupam Basu340561.68