A Vector Space Model for Syntactic Distances Between Dialects

Emanuele Di Buccio, Giorgio Maria Di Nunzio, Gianmaria Silvello


Abstract
Syntactic comparison across languages is essential in the research field of linguistics, e.g. when investigating the relationship among closely related languages. In IR and NLP, the syntactic information is used to understand the meaning of word occurrences according to the context in which their appear. In this paper, we discuss a mathematical framework to compute the distance between languages based on the data available in current state-of-the-art linguistic databases. This framework is inspired by approaches presented in IR and NLP.
Anthology ID:
L14-1148
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2486–2489
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1214_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Emanuele Di Buccio, Giorgio Maria Di Nunzio, and Gianmaria Silvello. 2014. A Vector Space Model for Syntactic Distances Between Dialects. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2486–2489, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
A Vector Space Model for Syntactic Distances Between Dialects (Di Buccio et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1214_Paper.pdf