A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is
Lecture Notes in Computer Science
This article describes the application of lemmatization and shallow parsing as a linguistically-based alternative to stemming in Text Retrieval, with the aim of managing linguistic variation at both word level and phrase level. Several alternatives for selecting the index terms among the syntactic dependencies detected by the parser are evaluated. Though this article focuses on Spanish, this approach is extensible to other languages by simply adapting the grammar used by the parser.doi:10.1007/978-3-540-30075-5_36 fatcat:b6xn6age4rfflainp2flj6qlqi