Building Annotated Parallel Corpora Using the ATIS Dataset: Two UD-style treebanks in English and Turkish

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AB3IRG227" target="_blank" >RIV/00216208:11320/25:B3IRG227 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198633728&partnerID=40&md5=b5ac0a63a9d499d0c6cfe5cc3c337e3e" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198633728&partnerID=40&md5=b5ac0a63a9d499d0c6cfe5cc3c337e3e</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Building Annotated Parallel Corpora Using the ATIS Dataset: Two UD-style treebanks in English and Turkish

Popis výsledku v původním jazyce

In this paper, we introduce the annotation process of the Air Travel Information Systems (ATIS) Dataset as a parallel treebank in English and in Turkish. The ATIS Dataset was originally compiled as pilot data to measure the efficiency of Spoken Language Systems and it comprises human speech transcriptions of people asking for flight information on the automated inquiry systems. Our first annotated treebank, which is in English, includes 61.879 tokens (5.432 sentences) while the second treebank, which was translated into Turkish, contains 45.875 tokens for the same amount of sentences. First, both treebanks were morphologically annotated through a semi-automatic process. Later, the dependency annotations were performed by a team of linguists according to the Universal Dependencies (UD) guidelines. These two parallel annotated treebanks provide a valuable contribution to language resources thanks to the spontaneous/spoken nature of the data and the availability of cross-linguistic dependency annotation. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

Název v anglickém jazyce

Building Annotated Parallel Corpora Using the ATIS Dataset: Two UD-style treebanks in English and Turkish

Popis výsledku anglicky

In this paper, we introduce the annotation process of the Air Travel Information Systems (ATIS) Dataset as a parallel treebank in English and in Turkish. The ATIS Dataset was originally compiled as pilot data to measure the efficiency of Spoken Language Systems and it comprises human speech transcriptions of people asking for flight information on the automated inquiry systems. Our first annotated treebank, which is in English, includes 61.879 tokens (5.432 sentences) while the second treebank, which was translated into Turkish, contains 45.875 tokens for the same amount of sentences. First, both treebanks were morphologically annotated through a semi-automatic process. Later, the dependency annotations were performed by a team of linguists according to the Universal Dependencies (UD) guidelines. These two parallel annotated treebanks provide a valuable contribution to language resources thanks to the spontaneous/spoken nature of the data and the availability of cross-linguistic dependency annotation. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Workshop Build. Using Comp. Corpora, BUCC LREC-COLING - Proc.

ISBN

978-249381431-9

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

104-110

Název nakladatele

European Language Resources Association (ELRA)

Místo vydání

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Místo konání akce

Torino, Italia

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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