Abstract
In this chapter I approach three automatic methods for the evaluation of summaries from narrative and expository texts in Spanish. The task consisted of correlating the evaluation made by three raters for 373 summaries with results provided by latent semantic analysis. Scores assigned by latent semantic analysis were obtained by means of the following three methods: 1) Comparison of summaries with the source text, 2) Comparison of summaries with a summary approved by consensus, and 3) Comparison of summaries with three summaries constructed by three language teachers. The most relevant results are a) a high positive correlation between the evaluation made by the raters (r= 0.642); b) a high positive correlation between the computer methods (r= 0.810); and c) a moderate-high positive correlation between the evaluations of raters and the second and third LSA methods (r= 0.585 and 0,604), in summaries from narrative texts. Both methods did not differ significantly in statistical terms from the correlation among raters when the texts evaluated were predominantly narrative. These results allow us to assert that at least two holistic LSA-based methods are useful for assessing reading comprehension of narrative texts written in Spanish.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
