18 research outputs found
Sense-Tagging at the Cycle-Level Using GLDB
This report describes a large-scale attempt to identify automatically the appropriate sense for content words taken from Swedish open-source texts. Sense-tagging, 'the process of assigning the appropriate sense from some kind of lexicon to the (content) words in a text', is a difficult and demanding task in Natural Language Processing and researchers have been engaged in finding a suitable solution to the problem for a very long time. The usefulness of automatically assigning each word in unrestricted text with its most likely sense is necessary for a great spectrum of applications. The sense-tagger described here has been tested both on a random sample of content words, as well as on a large population of a single ambiguous entry. In the first case, the achieved precision was 84,21 %, and in the second 82,75% respectively. Evaluation was made against manually sense-annotated texts
Preface
Proceedings of the Workshop on NLP for Reading and Writing – Resources,
Algorithms and Tools (SLTC 2008).
Editors: Rickard Domeij, Sofie Johansson Kokkinakis, Ola Knutsson and
Sylvana Sofkova Hashemi.
NEALT Proceedings Series, Vol. 3 (2009), iv-v.
© 2009 The editors and contributors.
Published by
Northern European Association for Language
Technology (NEALT)
http://omilia.uio.no/nealt .
Electronically published at
Tartu University Library (Estonia)
http://hdl.handle.net/10062/4116
Proceedings (all articles)
Proceedings of the Workshop on NLP for Reading and Writing – Resources,
Algorithms and Tools (SLTC 2008).
Editors: Rickard Domeij, Sofie Johansson Kokkinakis, Ola Knutsson and
Sylvana Sofkova Hashemi.
NEALT Proceedings Series, Vol. 3 (2009), v+23 pp.
© 2009 The editors and contributors.
Published by
Northern European Association for Language Technology (NEALT)
http://omilia.uio.no/nealt .
Electronically published at
Tartu University Library (Estonia)
http://hdl.handle.net/10062/4116
Title Pages
Proceedings of the Workshop on NLP for Reading and Writing - Resources,
Algorithms and Tools (SLTC 2008).
Editors: Rickard Domeij, Sofie Johansson Kokkinakis, Ola Knutsson and
Sylvana Sofkova Hashemi.
NEALT Proceedings Series, Vol. 3 (2009), i-ii.
© 2009 The editors and contributors.
Published by
Northern European Association for Language
Technology (NEALT)
http://omilia.uio.no/nealt .
Electronically published at
Tartu University Library (Estonia)
http://hdl.handle.net/10062/4116
H\uf6gstadieelevers anv\ue4ndning av naturvetenskapligt spr\ue5kbruk i kemi\ue4mnet i TIMSS
In international surveys, the results of Swedish students in natural scienceindicate a negative trend. In TIMSS, the results have decreasedbetween 1995-2007. The aim of the study described in this paper is toinvestigate the importance of language skills in the subjects of naturalscience, more particularly in chemistry. In order to make conclusions onstudents’ language skills, a study on language use in grade 8 in chemistrywas carried out. The study compared characteristic language featuresin natural science, focusing on students language related to productiveskills, to language features in chemistry text books. The result of thestudy indicates a correlation between high-achieving students and theuse of the characteristic language features
OrdiL – en korpusbaserad kartläggning av ordförrådet i läromedel för grundskolans senare år
Ordförrådet i skolans läromedel kan vara en stor stötesten för många
flerspråkiga elever. Att tillägna sig de ord och fraser som krävs för
att förstå det som står i läroböckerna i olika ämnen kan lätt te sig
som en oöverstiglig uppgift. Behovet av en effektiv och systematisk
språkundervisning i detta avseende är därför stort. I denna rapport
redovisas arbetet i ett projekt som syftar till att kartlägga ordförrådet i
vanliga läroböcker i NO, SO och matematik för grundskolans senare
år. Tanken är att en sådan inventering på olika sätt kan underlätta
arbetet med att bygga upp ett adekvat, skolrelaterat ordförråd och vara
till stor hjälp för både lärare och elever – inte minst när det gäller att
veta vilka ord som är vanliga och viktiga i läroböckerna och därför
nödvändiga att kunna