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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

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

  • ISBN

    978-249381431-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    104-110

  • Publisher name

    European Language Resources Association (ELRA)

  • Place of publication

  • Event location

    Torino, Italia

  • Event date

    Jan 1, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article