Using the probability of readability to order Swedish texts

• In this study we present a new approach to rank readability in Swedish texts based on lexical, morpho-syntactic and syntactic analysis of text as well as machine learning. The basic premise and theory is presented as well as a small experiment testing the feasibility, but not actual performance, of the approach. The experiment shows that it is possible to implement a system based on the approach, however, the actual performance of such a system has not been evaluated as the necessary resources for such an evaluation does not yet exist for Swedish. The experiment also shows that a classifier based on the aforementioned linguistic analysis, on our limited test set, outperforms classifiers based on established metrics used to assess readability such as LIX, OVIX and Nominal Ratio.

Ämnesord

HUMANIORA  -- Språk och litteratur (hsv//swe)

HUMANITIES  -- Languages and Literature (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Annan teknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Language Technology (hsv//eng)

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