نتایج جستجو برای: الگوریتم hungarian

تعداد نتایج: 30274  

2017
Anna Tordai Maarten de Rijke

We describe our official runs for the ad hoc monolingual task in Hungarian for CLEF 2005. We conducted experiments with four stemmers of varying impact. The experiments indicate that stemmers focusing on noun inflection are as effective as more broadly oriented stemmers, and that extensive stemming is especially beneficial for Hungarian monolingual retrieval.

2014
Daniel Szeredi

Prescriptive and descriptive grammars of Hungarian frequently discuss variation in the choice of relative pronoun in Hungarian. This paper presents quantitative data about some long standing questions raised by prescriptivists, and a phenomenon that has not been explored: the lack of agreement between the pronoun and the antecedent in Colloquial Hungarian. The study presented here is based on t...

2015
Ovidiu Jupaneant Gabriella Hegyi Anca Tudor Simona Dragan

Background and aim: Complementary and Alternative Medicine (CAM), as utilized by European citizens, represents a variety of different medical systems and therapies based on the knowledge, skills and practices derived from theories, philosophies and experiences used to maintain and improve health, as well as to prevent, diagnose, relieve or treat physical and mental illnesses. The purpose of the...

Journal: :Acta Cybern. 2004
Gyula Zsigri András Kocsor László Tóth Györgyi Sejtes

The purpose of this paper is to give an outline of phonetic level annotation and segmentation of Hungarian speech databases at the levels of definition and speech technology. In addition to giving guidance to the definition of the content of a database, the technique of annotation and the procedure of manual segmentation, we also discuss mathematical models of computeraided semi-automatic and a...

Journal: :EURASIP J. Adv. Sig. Proc. 2009
Balázs Gergely Soós Ádám Rák József Veres György Cserey

1 Faculty of Information Technology, Pázmány Péter Catholic University, Práter u. 50/A, 1083 Budapest, Hungary 2Computer and Automation Research Institute of the Hungarian Academy of Sciences, Kende u. 13-17. , 1111 Budapest, Hungary 3 Infobionic and Neurobiological Plasticity Research Group, Hungarian Academy of Sciences, Pázmány University and Semmelweis University, Práter u. 50/A, 1083 Budap...

2005
Anna Tordai Maarten de Rijke

We describe our official runs for the ad hoc monolingual task in Hungarian for CLEF 2005. We conducted experiments with four stemmers of varying impact. The experiments indicate that stemmers focusing on noun inflection are as effective as more broadly oriented stemmers, and that extensive stemming is especially beneficial for Hungarian monolingual retrieval.

2013
T. Janda

T. Janda3, W. Wiessnerb, E. Páldic, D. Mendeb, and S. Demeter3 a Institute o f Plant Physiology, Biological Research Center, Hungarian Academy o f Sciences, P.O.B. 521, H-6701 Szeged, Hungary b Pflanzenphysiologisches Institut der Universität Göttingen, Untere Karspüle 2, D-W -3400 Göttingen, Bundesrepublik Deutschland c Agricultural Research Institute o f the Hungarian Academy o f Sciences, H-...

2008
Márton Miháltz Csaba Hatvani Judit Kuti György Szarvas János Csirik Gábor Prószéky Tamás Váradi

This paper presents a complete outline of the results of the Hungarian WordNet (HuWN) project: the construction process of the general vocabulary Hungarian WordNet ontology, its validation and evaluation, the construction of a domain ontology of financial terms built on top of the general ontology, and two practical applications demonstrating the utilization of the ontology.

2017
Anna Tordai Maarten de Rijke

We describe our official runs for the ad hoc monolingual task in Hungarian for CLEF 2005. We conducted experiments with four stemmers of varying impact. The experiments indicate that stemmers focusing on noun inflection are as effective as more broadly oriented stemmers, and that extensive stemming is especially beneficial for Hungarian monolingual retrieval.

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید