Rachele De Felice

Contact

• workRoom C24 Trent Building
  University Park
  Nottingham
  NG7 2RD
  UK
• work0115 846 6857
• fax0115 951 5924
• Rachele.De_Felice@nottingham.ac.uk
• http://www.racheledefelice.com

Teaching Summary

Intercultural communication, pragmatics, corpus linguistics.

Research Summary

I am currently working on creating a pragmatic profile of Business English by applying corpus analysis and natural language processing (NLP) techniques to large collections of real-world data. This… read more

Selected Publications

• DE FELICE, RACHELE and PULMAN, STEPHEN, 2009. Automatic detection of preposition errors in learner writing CALICO: Special Issue of the 2008 CALICO Workshop on Automatic Analysis of Learner Language. 26(3),
• DE FELICE, RACHELE and PULMAN, STEPHEN, 2008. A classifier-based approach to preposition and determiner error correction in L2 English. In: Proceedings of COLING
• DE FELICE, RACHELE and PULMAN, STEPHEN, 2007. Automatically acquiring models of preposition use. In: Proceedings of the ACL-07 Workshop on Prepositions
• DE FELICE, RACHELE and PULMAN, STEPHEN, 2006. Using clustering to improve adjective selection in English adjective-noun pairs. In: Proceedings of the XL Conference of the Societa' di Linguistica Italiana

• View all publications

Current Research

I am currently working on creating a pragmatic profile of Business English by applying corpus analysis and natural language processing (NLP) techniques to large collections of real-world data. This project focuses on pragmatic competence and aims to address the following questions:

• What are the main pragmatic characteristics of Business English?
• Are there significant pragmatic variations in spoken, written, and email Business. English.?
• How do these findings apply to the development of the communicative competence of non-native speakers?

The techniques used to extract pragmatic profiles can also be adapted to further our understanding of communication in other specialised domains such as social work or health communication, addressing issues such as the pragmatic strategies used in presenting upsetting information, or in interacting with patients of different ages.

Past Research

In the course of my research career, I have applied corpus analysis and natural language processing tools to native and non-native speaker written and email text to acquire profiles of preposition, determiner, and speech act usage. This data was used, among other things, to assess the feasibility of automated error correction and to gain insights into the patterns of use of these elements.

• DE FELICE, RACHELE and PULMAN, STEPHEN, 2009. Automatic detection of preposition errors in learner writing CALICO: Special Issue of the 2008 CALICO Workshop on Automatic Analysis of Learner Language. 26(3),
• DE FELICE, RACHELE and PULMAN, STEPHEN, 2008. A classifier-based approach to preposition and determiner error correction in L2 English. In: Proceedings of COLING
• DE FELICE, RACHELE and PULMAN, STEPHEN, 2007. Automatically acquiring models of preposition use. In: Proceedings of the ACL-07 Workshop on Prepositions
• DE FELICE, RACHELE and PULMAN, STEPHEN, 2006. Using clustering to improve adjective selection in English adjective-noun pairs. In: Proceedings of the XL Conference of the Societa' di Linguistica Italiana