Now showing items 1-10 of 10
TREPIL: Developing Methods and Tools for Multilevel Treebank Construction
(The University of Bergen, 2005)
Current trends in language technology require treebanks that do not stop at the level of constituent structure, but include deeper and richer levels of analysis, including appropriate meaning structures. Capturing sufficient ...
Syntactic Annotation of Learner Corpora
Ontology extraction for coreference chaining
(The University of Bergen, 2005-09)
The KunDoc project investigates coreference chaining with ontology-based methods. In this paper, we discuss knowledge-based methods for coreference chaining and in particular the use of ontologies and their acquisition ...
Linguistically motivated parallel parsebanks
Parallel grammars and parallel treebanks can be a useful method for studying linguistic diversity and commonality. We use this approach to study how arguments to similar predicates are realized across languages. To that ...
Dreistadt: A language enabled MOO for language learning
(The University of Bergen, 2006-08-28)
Dreistadt is an educational MOO (Multi User Domain, Object Oriented) for language learning. It presents a virtual world in which learners of German communicate with their fellow learners, teachers and native language users ...
The enrichment of lexical resources through incremental parsebanking
Automatic syntactic analysis of a corpus requires detailed lexical and morphological information that cannot always be harvested from traditional dictionaries. Therefore the development of a treebank presents an opportunity ...
Citation of research data for linguistic publications
Meeting agenda: The main goal of this meeting is to edit a section on data citation to be integrated into existing style sheets for linguistics (i.e. the Unified Style Sheet for Linguistics and the Generic Style Rules for ...
Writing data citation guidelines for linguistics: Lessons learned
One of the main objectives of the Linguistics Data Interest Group is to develop and adopt common principles and guidelines for data citation and attribution. As a first step, the Austin Principles of Data Citation in ...