Improving Corpus Search via Parsing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335475" target="_blank" >RIV/00216208:11320/16:10335475 - isvavai.cz</a>
Result on the web
<a href="http://www.lrec-conf.org/proceedings/lrec2016/pdf/1141_Paper.pdf" target="_blank" >http://www.lrec-conf.org/proceedings/lrec2016/pdf/1141_Paper.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Improving Corpus Search via Parsing
Original language description
In this paper, we describe an addition to the corpus query system Kontext that enables to enhance the search using syntactic attributes in addition to the existing features, mainly lemmas and morphological categories. We present the enhancements of the corpus query system itself, the attributes we use to represent syntactic structures in data, and some examples of querying the syntactically annotated corpora, such as treebanks in various languages as well as an automatically parsed large corpus.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/LM2015071" target="_blank" >LM2015071: Language Research Infrastructure in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)
ISBN
978-2-9517408-9-1
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
2862-2866
Publisher name
European Language Resources Association
Place of publication
Paris, France
Event location
Portorož, Slovenia
Event date
May 23, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—