Abstract
We present a novel approach to the automatic assessment of text complexity based on a sliding-window technique that tracks the distribution of complexity within a text. Such distribution is captured by what we term “complexity contours” derived from a series of measurements for a given linguistic complexity measure. This approach is implemented in an automatic computational tool, CoCoGen – Complexity Contour Generator, which in its current version supports 32 indices of linguistic complexity. The goal of the paper is twofold: (1) to introduce the design of our computational tool based on a sliding-window technique and (2) to showcase this approach in the area of second language (L2) learning, i.e. more specifically, in the area of L2 writing.- Anthology ID:
- W16-4103
- Volume:
- Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Dominique Brunato, Felice Dell’Orletta, Giulia Venturi, Thomas François, Philippe Blache
- Venue:
- CL4LC
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 23–31
- Language:
- URL:
- https://aclanthology.org/W16-4103
- DOI:
- Cite (ACL):
- Ströbel Marcus, Elma Kerz, Daniel Wiechmann, and Stella Neumann. 2016. CoCoGen - Complexity Contour Generator: Automatic Assessment of Linguistic Complexity Using a Sliding-Window Technique. In Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC), pages 23–31, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- CoCoGen - Complexity Contour Generator: Automatic Assessment of Linguistic Complexity Using a Sliding-Window Technique (Marcus et al., CL4LC 2016)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W16-4103.pdf