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Bart Jongejan

dblp:89/8155 · DBLP profile ↗
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8ranked-venue papers
2as first author
1since 2021 · last 2026
—ORCID · none

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

Artificial intelligence and machine learning · 8 · 2 first-author · 1 since 2021

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%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › morphological analysis
lemmatization
0.112009
Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike · ACL/IJCNLP 2009
Natural language and speech › Information extraction and text analysis
morphological analysis
0.012009
Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike · ACL/IJCNLP 2009
YearPublicationVenuePosition
2026 Multimodal Entrainment and Feedback in Online Group Meetings
Patrizia Paggio, Manex Agirrezabal, Giulia Di Cristina, Bart Jongejan, Costanza Navarretta
LREC4
2012 Automatic annotation of head velocity and acceleration in Anvil
Bart Jongejan
LREC1
2010 Incorporating Speech Synthesis in the Development of a Mobile Platform for e-learning
Justus C. Roux, Pieter Scholtz, Daleen Klop, Claus Povlsen, Bart Jongejan, Asta Magnusdottir
LREC5
2009 Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike
Bart Jongejan, Hercules Dalianis
ACL/IJCNLP1
2008 Experiments to Investigate the Connection between Case Distribution and Topical Relevance of Search Terms in an Information Retrieval Setting
Jussi Karlgren, Hercules Dalianis, Bart Jongejan
LREC3
2006 Hand-crafted versus Machine-learned Inflectional Rules: The Euroling-SiteSeeker Stemmer and CST's Lemmatiser
Hercules Dalianis, Bart Jongejan
LREC2
2004 Corporate Voice, Tone of Voice and Controlled Language Techniques
Lina Henriksen, Bart Jongejan, Bente Maegaard
LREC2
2001 Translatability checker: a tool to help decide whether to use MT
abstract
This paper describes a tool designed to assess the machine translatability of English source texts by assigning a translatability index to both individual sentences and the text as a whole. The tool is designed to be both stand-alone and integratable into a suite of other tools which together help to improve the quality of professional translation in the preparatory phase of the translation workflow. Assessing translatability is an important element in ensuring the most efficient and cost effective use of current translation technology, and the tool must be able to quickly determine the translatability of a text without itself using too many resources. It is therefore based on rather simple tagging and pattern matching technologies which bring with them a certain level of indeterminacy. This potential disadvantage can, however, be offset by the fact that an annotated version of the text is simultaneously produced to allow the user to interpret the results of the checker.
Nancy L. Underwood, Bart Jongejan
MTSummit2