The implementation of quantitative models, computational tools and automatic algorithms of data collection and analysis has brought into
human sciences models, idealizations, and explanatory standards typical of natural sciences.
This course explores how these tools are extended and applied to those human sciences that specifically deal with history and cultural
Major contents:

  1. introduction to formal models of human language structure and diversity: parameters, parameter systems, parameter setting
  2. application of computational techniques to code, annotate and parse linguistic data (syntactically annotated corpora)
  3. application of computational techniques for data processing and analysis to the quantitative assessment of language relatedness and to phylogenetic reconstruction

Class schedule

Thursday, March 30
10.00 – 10.45 Introduction to the course and presentation of the participants
11.00 – 13.30 [with breaks!] Cristina Guardiano – Parameters and parameter systems
15.00 – 17.30 [with breaks!] Paola Crisma – Setting parameter values in acquisition and on corpora
Friday, March 31
11.00 – 13.30 [with breaks!] Anca Dinu – Measuring semantic change for Romance languages and English
15.00 – 17.30 [with breaks!] Liviu Dinu – Computational approaches to natural languages similarities
Monday, April 3
11.00 – 13.30 [with breaks!] Andrea Sgarro – Distanze per la filogenesi linguistica
15.00 – 17.30 [with breaks!] Emanuela Sanfelici – Syntactically annotated corpora
Tuesday, April 4
11.00 – 13.30 [with breaks!] Giuseppe Longobardi – The Parametric Comparison Method
15.00 – 16.30 Giuseppe Longobardi, Monica Irimia – Practical session
16.45 – 17.00 Closing Remarks

Dipartimento di Comunicazione ed Economia
Sala riunioni, Palazzo Dossetti, Viale A. Allegri 9, Reggio Emilia

Prof. Cristina Guardiano

PhD Teaching: Coding and Comparing Syntactic Data