Four Stemmers and a Funeral: Stemming in Hungarian at CLEF 2005 | Zendy

Anna Tordai | Zendy; Maarten de Rijke | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Four Stemmers and a Funeral: Stemming in Hungarian at CLEF 2005

Author(s) -

Anna Tordai,

Maarten de Rijke

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-45697-X

DOI - 10.1007/11878773_20

Subject(s) - clef , computer science , task (project management) , range (aeronautics) , artificial intelligence , natural language processing , materials science , management , economics , composite material

We developed algorithmic stemmers for Hungarian and used them for the ad-hoc monolingual task for CLEF 2005. Our goal was to determine what degree of stemming is the most effective. Although on average the stemmers did not perform as well as the the best n-gram, we found that stemming over a broad range of suffixes especially on nouns is highly useful.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research