@inproceedings{di-buccio-etal-2014-vector,
title = "A Vector Space Model for Syntactic Distances Between Dialects",
author = "Di Buccio, Emanuele and
Di Nunzio, Giorgio Maria and
Silvello, Gianmaria",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1214_Paper.pdf",
pages = "2486--2489",
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.",
}
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%0 Conference Proceedings
%T A Vector Space Model for Syntactic Distances Between Dialects
%A Di Buccio, Emanuele
%A Di Nunzio, Giorgio Maria
%A Silvello, Gianmaria
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F di-buccio-etal-2014-vector
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1214_Paper.pdf
%P 2486-2489
Markdown (Informal)
[A Vector Space Model for Syntactic Distances Between Dialects](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1214_Paper.pdf) (Di Buccio et al., LREC 2014)
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).