TED-MDB Lexicons: Tr-EnConnLex, Pt-EnConnLex

Murathan Kurfalı, Sibel Ozer, Deniz Zeyrek, Amália Mendes


Abstract
In this work, we present two new bilingual discourse connective lexicons, namely, for Turkish-English and European Portuguese-English created automatically using the existing discourse relation-aligned TED-MDB corpus. In their current form, the Pt-En lexicon includes 95 entries, whereas the Tr-En lexicon contains 133 entries. The lexicons constitute the first step of a larger project of developing a multilingual discourse connective lexicon.
Anthology ID:
2020.codi-1.15
Volume:
Proceedings of the First Workshop on Computational Approaches to Discourse
Month:
November
Year:
2020
Address:
Online
Editors:
Chloé Braud, Christian Hardmeier, Junyi Jessy Li, Annie Louis, Michael Strube
Venue:
CODI
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
148–153
Language:
URL:
https://aclanthology.org/2020.codi-1.15
DOI:
10.18653/v1/2020.codi-1.15
Bibkey:
Cite (ACL):
Murathan Kurfalı, Sibel Ozer, Deniz Zeyrek, and Amália Mendes. 2020. TED-MDB Lexicons: Tr-EnConnLex, Pt-EnConnLex. In Proceedings of the First Workshop on Computational Approaches to Discourse, pages 148–153, Online. Association for Computational Linguistics.
Cite (Informal):
TED-MDB Lexicons: Tr-EnConnLex, Pt-EnConnLex (Kurfalı et al., CODI 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.codi-1.15.pdf
Video:
 https://slideslive.com/38939703