Kerz, E.

Neumann, S.

Ströbel, M.

Wiechmann, D.

English

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

International Migration, Integration and Social Cohesion online publications

CoCoGen - Complexity Contour Generator:Automatic Assessment of Linguistic Complexity Using a Sliding-Window Technique

https://pure.uva.nl/ws/files/40404982/W16_4103.pdf

CoCoGen - Complexity Contour Generator:Automatic Assessment of Linguistic Complexity Using a Sliding-Window Technique

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International Migration, Integration and Social Cohesion online publications