Summary of the paper

Title Design and Development of an Online Computational Framework to Facilitate Language Comprehension Research on Indian Languages
Authors Manjira Sinha, Tirthankar Dasgupta and Anupam Basu
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.
Topics Cognitive Methods, LR Infrastructures and Architectures
Full paper Design and Development of an Online Computational Framework to Facilitate Language Comprehension Research on Indian Languages
Bibtex @InProceedings{SINHA14.132,
  author = {Manjira Sinha and Tirthankar Dasgupta and Anupam Basu},
  title = {Design and Development of an Online Computational Framework to Facilitate Language Comprehension Research on Indian Languages},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 }
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