Hodnoty slovesných morfologických kategorií v korpusu SYN2020 — atribut verbtag

• Authors: Jelínek Tomáš , Petkevič Vladimír , Skoumalová Hana

Title variants

EN

Values of Verbal Morphological Categories in the SYN2020 Corpus — the Verbtag Attribute

• Languages of publication: CS

Abstracts

EN

The paper describes the verbtag attribute, which allows a user to search, in the SYN2020 corpus (and also subsequent corpora, SYNv9 and SYNv10) of contemporary Czech, for all values of morphological categories of verbs, i.e., not only those contained in the tag attribute, but also those related mainly to multi-word participial verb predicates, which are prevalent in Czech. The verbtag attribute contains information indicating whether the verb (co-)forming the verbal meaning is either auxiliary or autosemantic, as well as information about the verb mode, diathesis, person, number and tense. The annotation applies both to verb predicates expressed in a single word (e.g., the 1st person indicative present tense: Čtu rád detektivní příběhy. ‘I like to read detective stories.’) and (especially) to verb predicates expressed in multiple words (e.g., the present conditional of the 1st person singular: Pak bych mu s chutí nabídla výhodnou smlouvu. ‘Then I would gladly offer him a good deal.’). The authors introduce the motivation and the concept of the verbtag annotation, describe relevant morphological categories and their values in detail, and show, via examples, how various multiword structures expressing verbal meaning are annotated in the verbtag attribute. They also offer users a guide to the whole issue of verbal morphosyntax manifested in the verbtag attribute and possibilities for efficient search for and retrieval of morphological/morphosyntactic data. The paper shows which multiple verb complexes are simple in terms of annotation, but also identifies more complex cases (e.g., coordination of participles) which are not easy to automatically annotate, and/or whose annotation is unclear in terms of an adequate theoretical approach. The authors also present the method used for annotating multiword verbal complexes and its current success rate.

Keywords

CS

atribut verbtag; morfologie českých sloves morfologické kategorie a hodnoty automatické značkování; korpus SYN2020

EN

verbtag attribute; morphology of Czech verbs morphological categories and values; automatic annotation; SYN2020 corpus

• Publisher: Charles University in Prague, Faculty of Arts, Czech Republic
• Journal: Časopis pro moderní filologii (Journal for Modern Philology)
• Year: 2022
• Volume: 104
• Issue: 1
• Pages: 89-109

Contributors

author

Jelínek Tomáš

• Ústav teoretické a komputační lingvistiky, Filozofická fakulta Univerzity Karlovy

author

Petkevič Vladimír

• Ústav teoretické a komputační lingvistiky, Filozofická fakulta Univerzity Karlovy

author

Skoumalová Hana

• Ústav teoretické a komputační lingvistiky, Filozofická fakulta Univerzity Karlovy