. . . . . "5"^^ . . "14330" . "Svoboda, Luk\u00E1\u0161" . "P(1ET200610406), P(2C06009), P(LC536)" . "Czech MWE Database" . "Czech MWE Database"@en . . . . . "European Language Resources Association (ELRA)" . "2008-05-28+02:00"^^ . . "[675D2A335645]" . "RIV/00216224:14330/08:00024204!RIV11-MSM-14330___" . "Pala, Karel" . . "RIV/00216224:14330/08:00024204" . . "2-9517408-4-0" . . "\u0160merk, Pavel" . . "Proceedings of the Sixth International Language Resources and Evaluation Conference (LREC '08)" . . "Czech MWE Database"@en . . "3"^^ . . "361940" . "Marrakech, Morocco" . "3"^^ . "In this paper we deal with a recently developed large Czech MWE database containing at the moment 160 000 MWEs (treated as lexical units). We describe the structure of the database and give basic types of MWEs according to domains they belong to. We compare the built MWEs database with the corpus data from Czech National Corpus (approx. 100 mil. tokens) and present results of this comparison in the paper. To obtain a more complete list of MWEs we propose and use a technique exploiting the Word Sketch Engine, which allows us to work with statistical parameters such as frequency of MWEs and their components as well as with the salience for the whole MWEs. We also discuss exploitation of the database for working out a more adequate tagging and lemmatization. The final goal is to be able to recognize MWEs in corpus text and lemmatize them as complete lexical units, i. e. to make tagging and lemmatization more adequate." . "Marrakech, Morocco" . "multiword expressions; word sketch engine"@en . "In this paper we deal with a recently developed large Czech MWE database containing at the moment 160 000 MWEs (treated as lexical units). We describe the structure of the database and give basic types of MWEs according to domains they belong to. We compare the built MWEs database with the corpus data from Czech National Corpus (approx. 100 mil. tokens) and present results of this comparison in the paper. To obtain a more complete list of MWEs we propose and use a technique exploiting the Word Sketch Engine, which allows us to work with statistical parameters such as frequency of MWEs and their components as well as with the salience for the whole MWEs. We also discuss exploitation of the database for working out a more adequate tagging and lemmatization. The final goal is to be able to recognize MWEs in corpus text and lemmatize them as complete lexical units, i. e. to make tagging and lemmatization more adequate."@en . "Czech MWE Database" . .