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Balázs Kis

dblp:32/6295 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 100%
Theoretical computer science
1 paper
Automata and formal languages · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
morphological analysis		 0.011999
A Unification-based Approach to Morpho-syntactic Parsing of Agglutinative and Other (Highly) Inflectional Languages · ACL 1999
Natural language and speech › Information extraction and text analysis › morphological analysis
morphosyntactic analysis		 0.011999
A Unification-based Approach to Morpho-syntactic Parsing of Agglutinative and Other (Highly) Inflectional Languages · ACL 1999
Automata and formal languages › grammar formalisms
unification grammars		 0.011999
A Unification-based Approach to Morpho-syntactic Parsing of Agglutinative and Other (Highly) Inflectional Languages · ACL 1999

Methods — techniques the papers use, named apart from their topics

unification-based morphology · 0.0finite-state morphology · 0.0
YearPublicationVenuePosition
2004 MetaMorpho TM: A Rule-Based Translation Corpus
Tamás Gröbler, Gábor Hodász, Balázs Kis
 LREC3
2004 A New Approach to the Corpus-based Statistical Investigation of Hungarian Multi-word Lexemes
Balázs Kis, Begoña Villada, Gosse Bouma, Gábor Ugray, Tamás Bíró, Gábor Pohl, John Nerbonne
 LREC1
2002 Context-Sensitive Electronic Dictionaries
Gábor Prószéky, Balázs Kis
 COLING2
2002 Recognition Assistance - Treating Errors in Texts Acquired from Various Recognition Processes
Gábor Prószéky, Mátyás Naszódi, Balázs Kis
 COLING3
1999 A Unification-based Approach to Morpho-syntactic Parsing of Agglutinative and Other (Highly) Inflectional Languages
abstract
This paper introduces a new approach to morpho-syntactic analysis through Humor 99 (High-speed Unification Mo.rphology), a reversible and unification-based morphological analyzer which has already been integrated with a variety of industrial applications.Humor 99 successfully copes with problems of agglutinative (e.g.Hungarian, Turkish, Estonian) and other (highly) inflectional languages (e.g.Polish, Czech, German) very effectively.The authors conclude the paper by arguing that the approach used in Humor 99 is general enough to be well suitable for a wide range of languages, and can serve as basis for higher-level linguistic operations such as shallow parsing.
Gábor Prószéky, Balázs Kis
 ACL2