The DQMD Tag : A system of direct quotation meta-data tagging for EAP corpora
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F17%3A00096588" target="_blank" >RIV/00216224:14210/17:00096588 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S0024384116301553?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0024384116301553?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.lingua.2017.04.004" target="_blank" >10.1016/j.lingua.2017.04.004</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The DQMD Tag : A system of direct quotation meta-data tagging for EAP corpora
Popis výsledku v původním jazyce
This article introduces a new standardized system of direct quotation met a-data tagging for instances of direct quotation in EAP corpora. The system was developed to assist corpus based research in direct quotations and to facilitate replication within the field of corpus-assisted discourse studies. Even though the system is currently implemented as a manual tagging system, suggestions are made regarding the creation of an algorithm to automate annotation, as is currently the case with PoS tagging. The system is comprised of a manually annotated six-letter tag (we call DQMD tag), and a set of custom corpus query language queries. The DQMD tag has been designed to precede each direct quotation in a corpus. The given corpus query strings allow either the direct quotation or the DQMD tag to be shown as the key word in context in a concordance. The system can be used to collect direct quotation frequency data and lexical data (including associated PoS data) using any combination of DQMD tag attributes. Sketch Engine was employed as the concordancer for examples in the article.
Název v anglickém jazyce
The DQMD Tag : A system of direct quotation meta-data tagging for EAP corpora
Popis výsledku anglicky
This article introduces a new standardized system of direct quotation met a-data tagging for instances of direct quotation in EAP corpora. The system was developed to assist corpus based research in direct quotations and to facilitate replication within the field of corpus-assisted discourse studies. Even though the system is currently implemented as a manual tagging system, suggestions are made regarding the creation of an algorithm to automate annotation, as is currently the case with PoS tagging. The system is comprised of a manually annotated six-letter tag (we call DQMD tag), and a set of custom corpus query language queries. The DQMD tag has been designed to precede each direct quotation in a corpus. The given corpus query strings allow either the direct quotation or the DQMD tag to be shown as the key word in context in a concordance. The system can be used to collect direct quotation frequency data and lexical data (including associated PoS data) using any combination of DQMD tag attributes. Sketch Engine was employed as the concordancer for examples in the article.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
60201 - General language studies
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Lingua
ISSN
0024-3841
e-ISSN
1872-6135
Svazek periodika
193
Číslo periodika v rámci svazku
15
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
13
Strana od-do
23-35
Kód UT WoS článku
000403742900002
EID výsledku v databázi Scopus
2-s2.0-85018716395