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Demo Data from EDBT 2026 / reviewers in the wild / expert

Hisayuki Kanda

dblp:79/3269 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Artificial intelligence and machine learning · 1

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.

Theoretical computer science
1 paper
Automata and formal languages · 100%
Artificial intelligence
1 paper
Speech recognition and synthesis · 100%
Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Speech recognition and synthesis › computer-assisted pronunciation training
computer-assisted language learning		 0.012000
Diagnostic Processing of Japanese for Computer-Assisted Second Language Learning · ACL 2000
Automata and formal languages
grammar formalisms		 0.012000
Diagnostic Processing of Japanese for Computer-Assisted Second Language Learning · ACL 2000
Automata and formal languages › tree adjoining grammar
lexicalized tree adjoining grammar		 0.012000
Diagnostic Processing of Japanese for Computer-Assisted Second Language Learning · ACL 2000
Compilers and program optimization
parsing		 0.012000
Diagnostic Processing of Japanese for Computer-Assisted Second Language Learning · ACL 2000
YearPublicationVenuePosition
2000 Diagnostic Processing of Japanese for Computer-Assisted Second Language Learning
abstract
As an application of NLP to computer-assisted language learning(CALL), we propose a diagnostic processing of Japanese being able to detect errors and inappropriateness of sentences composed by the students in the given situation and the context of the exercise texts. Using LTAG(Lexicalized Tree Adjoining Grammar) formalism, we have implemented a prototype of such a diagnostic parser as a component of a CALL system being developed.
Jun'ichi Kakegawa, Hisayuki Kanda, Eitaro Fujioka, Makoto Itami, Kohji Itoh
 ACL2