Summary of the paper

Title Towards Lexical Encoding of Multi-Word Expressions in Spanish Dialects
Authors Diana Bogantes, Eric Rodríguez, Alejandro Arauco, Alejandro Rodríguez and Agata Savary
Abstract This paper describes a pilot study in lexical encoding of multi-word expressions (MWEs) in 4 Latin American dialects of Spanish: Costa Rican, Colombian, Mexican and Peruvian. We describe the variability of MWE usage across dialects. We adapt an existing data model to a dialect-aware encoding, so as to represent dialect-related specificities, while avoiding redundancy of the data common for all dialects. A dozen of linguistic properties of MWEs can be expressed in this model, both on the level of a whole MWE and of its individual components. We describe the resulting lexical resource containing several dozens of MWEs in four dialects and we propose a method for constructing a web corpus as a support for crowdsourcing examples of MWE occurrences. The resource is available under an open license and paves the way towards a large-scale dialect-aware language resource construction, which should prove useful in both traditional and novel NLP applications.
Topics MultiWord Expressions & Collocations, Lexicon, Lexical Database, Other
Full paper Towards Lexical Encoding of Multi-Word Expressions in Spanish Dialects
Bibtex @InProceedings{BOGANTES16.65,
  author = {Diana Bogantes and Eric Rodríguez and Alejandro Arauco and Alejandro Rodríguez and Agata Savary},
  title = {Towards Lexical Encoding of Multi-Word Expressions in Spanish Dialects},
  booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
  year = {2016},
  month = {may},
  date = {23-28},
  location = {Portoro┼ż, Slovenia},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Sara Goggi and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  address = {Paris, France},
  isbn = {978-2-9517408-9-1},
  language = {english}
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