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dc.contributor.authorChen, Xiaobinen
dc.contributor.authorMeurers, Detmaren
dc.date.accessioned2019-05-07T23:30:36Z
dc.date.available2019-05-07T23:30:36Z
dc.date.issued2016-12en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/292470
dc.description.abstractInformed 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 teacher, textbook writer, or second language acquisition researcher 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.
dc.publisherThe International Committee on Computational Linguistics
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleCTAP: A Web-Based Tool Supporting Automatic Complexity Analysisen
dc.typeConference Object
prism.endingPage119
prism.publicationDate2016en
prism.publicationNameProceedings of the Workshop on Computational Linguistics for Linguistic Complexity at COLINGen
prism.startingPage113
dc.identifier.doi10.17863/CAM.39630
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2016-12en
dc.contributor.orcidChen, Xiaobin [0000-0003-3158-0899]
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.conference-nameWorkshop on Computational Linguistics for Linguistic Complexityen
pubs.conference-start-date2016-12-11en


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International