Summary of the paper
| Title | A Vector Space Model for Syntactic Distances Between Dialects |
|---|---|
| Authors | Emanuele Di Buccio, Giorgio Maria Di Nunzio and 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. |
| Topics | Information Extraction, Information Retrieval, Statistical and Machine Learning Methods |
Full paper  |
A Vector Space Model for Syntactic Distances Between Dialects |
| Bibtex | @InProceedings{DIBUCCIO14.1214, author = {Emanuele Di Buccio and Giorgio Maria Di Nunzio and Gianmaria Silvello}, title = {A Vector Space Model for Syntactic Distances Between Dialects}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |