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SUMMARY:Machine Learning in Readability Assessment - Ekaterina Kochmar (Un
 iversity of Cambridge)
DTSTART:20190514T150000Z
DTEND:20190514T160000Z
UID:TALK124351@talks.cam.ac.uk
CONTACT:81847
DESCRIPTION:Readability of a text is concerned with a number of factors th
 at affect reader’s understanding\, reading speed and level of interest. 
 Such factors include\, among others\, lexical and syntactic complexity\, l
 evel of conceptual familiarity and logical sophistication. In this talk\, 
 I will discuss how we can automatically extract the information about such
  factors from text\, and how we approach the task of readability assessmen
 t from a machine learning perspective. I will also briefly present a proto
 type system that is capable of assessing readability level of text and rea
 ders’ comprehension. Our project focuses on readability assessment for n
 on-native speakers of English\, but as I will discuss in the talk\, the pr
 esented methods of assessment can be extended to other groups of readers.
LOCATION:Castle Teaching Room\, Cambridge Judge Business School
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