@InProceedings{chen-meurers:2016:CL4LC,
  author    = {Chen, Xiaobin  and  Meurers, Detmar},
  title     = {CTAP: A Web-Based Tool Supporting Automatic Complexity Analysis},
  booktitle = {Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {113--119},
  abstract  = {Informed by research on readability and language acquisition, computational
	linguists have developed sophisticated tools for the analysis of linguistic
	complexity. While some tools are starting to become accessible on the web,
	there still is a disconnect between the features that can in principle be
	identified based on state-of-the-art computational linguistic analysis, and the
	analyses a second language acquisition researcher, teacher, or textbook writer
	can readily obtain and visualize for their own collection of texts.
	This short paper presents a web-based tool development that aims to meet this
	challenge. The Common Text Analysis Platform (CTAP) is designed to support
	fully configurable linguistic feature extraction for a wide range of complexity
	analyses. It features a user-friendly interface, modularized and reusable
	analysis component integration, and flexible corpus and feature management.
	Building on the Unstructured Information Management framework (UIMA), CTAP
	readily supports integration of state-of-the-art NLP and complexity feature
	extraction maintaining modularization and reusability. CTAP thereby aims at
	providing a common platform for complexity analysis, encouraging research
	collaboration and sharing of feature extraction components---to jointly advance
	the state-of-the-art in complexity analysis in a form that readily supports
	real-life use by ordinary users.},
  url       = {http://aclweb.org/anthology/W16-4113}
}