About: Finding Terms in Corpora for Many Languages with the Sketch Engine

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://aclweb.org/anthology/E/E14/E14-2014.pdf
Description	Term candidates for a domain, in a language, can be found by taking a corpus for the domain, and a refer- ence corpus for the language identifying the grammatical shape of a term in the language tokenising, lemmatising and POS-tagging both corpora identifying (and counting) the items in each corpus which match the grammatical shape for each item in the domain corpus, compar- ing its frequency with its frequency in the refence corpus. Then, the items with the highest frequency in the domain corpus in comparison to the reference cor- pus will be the top term candidates. None of the steps above are unusual or innova- tive for NLP (see, e. g., (Aker et al., 2013), (Go- jun et al., 2012)). However it is far from trivial to implement them all, for numerous languages, in an environment that makes it easy for non- programmers to find the terms in a domain. This is what we have done in the Sketch Engine (Kilgarriff et al., 2004), and will demonstrate. Term candidates for a domain, in a language, can be found by taking a corpus for the domain, and a refer- ence corpus for the language identifying the grammatical shape of a term in the language tokenising, lemmatising and POS-tagging both corpora identifying (and counting) the items in each corpus which match the grammatical shape for each item in the domain corpus, compar- ing its frequency with its frequency in the refence corpus. Then, the items with the highest frequency in the domain corpus in comparison to the reference cor- pus will be the top term candidates. None of the steps above are unusual or innova- tive for NLP (see, e. g., (Aker et al., 2013), (Go- jun et al., 2012)). However it is far from trivial to implement them all, for numerous languages, in an environment that makes it easy for non- programmers to find the terms in a domain. This is what we have done in the Sketch Engine (Kilgarriff et al., 2004), and will demonstrate. (en)
Title	Finding Terms in Corpora for Many Languages with the Sketch Engine Finding Terms in Corpora for Many Languages with the Sketch Engine (en)
skos:prefLabel	Finding Terms in Corpora for Many Languages with the Sketch Engine Finding Terms in Corpora for Many Languages with the Sketch Engine (en)
skos:notation	RIV/00216224:14330/14:00075387!RIV15-MSM-14330___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(LM2010013), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Jakubíček, Miloš Kovář, Vojtěch Suchomel, Vít Rychlý, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	16860
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/14:00075387
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	terminology; terms; corpora; sketch engine (en)
http://linked.open.../riv/klicoveSlovo	corpora terminology terms sketch engine
http://linked.open...ontrolniKodProRIV	[7749E15EF4C1]
http://linked.open...v/mistoKonaniAkce	Gothenburg, Sweden
http://linked.open...i/riv/mistoVydani	Gothenburg, Sweden
http://linked.open...i/riv/nazevZdroje	Proceedings of the Demonstrations at the 14th Conferencethe European Chapter of the Association for Computational Linguistics
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Jakubíček, Miloš Kovář, Vojtěch Suchomel, Vít Kilgarriff, Adam Rychlý, Pavel
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-01-01 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	The Association for Computational Linguistics
https://schema.org/isbn	9781937284756
http://localhost/t...ganizacniJednotka	14330

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