KMi Seminars
Syntactic measuring of language distances
This event took place on Friday 17 December 2010 at 13:00

 
Prof. Giuseppe Longobardi University of Trieste

Beyond its theoretical success, the development of molecular biology has brought about the possibility of extraordinary progress in the historical study of classification and distribution of different species and different human populations, introducing a new level of evidence on diversity (molecular genetic markers) apt, among other things, to quantitative and automatic treatment. I claim that, even in the cognitive sciences, purely theoretical progress in a certain discipline, such as linguistics, may have analogous historical impact, and in turn be confirmed by such results. Thus, I will propose to unify two unrelated lines of investigation:

  1. the study of syntactic variation (parameter theory) in the biolinguistic program
  2. the reconstruction of phylogenetic relatedness among languages
I will suggest that we are now in the position of measuring the syntactic distance among different languages and populations in a precise fashion and to explore its historical significance through the application of clustering algorithms borrowed from computational biology. The historical success of the resulting taxonomies may then support the reliability of the new method of distance calculation.

 
KMi Seminars
 

Multimedia and Information Systems is...


Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.

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