Marco Turchi

WORK HISTORY

EDUCATION

SKILLS

ABOUT MARCO TURCHI

I have focused my research on information extraction, retrieval and organization from text documents, using several machine learning (probabilistic and statistical) approaches. In these years, I have analyzed different aspects of text/web mining moving from classical text problems as supervised and unsupervised learning, or new representation for text document to more computational linguistic tasks, as statistical machine translation and document summarization. I have been part of the European project SMART, where I have applied machine learning techniques to statistical machine translation (SMT) problems, and I have been also involved in a media analysis project aimed at modeling the mediasphere based on text mining and cross-language analysis techniques. During my period at the Joint Research Centre, my research has been centered on SMT techniques applied to news domain, in particular, on the use of translated documents in different NLP tasks such as document summarization, event extraction and sentiment analysis. I have also been involved in different projects on multilingual multi-label document classification, robust approaches for outliers detection in text mining and multilingual patterns learning. My current research is focused on the integration of SMT technologies within the human translation workflow. My last work investigates new approaches for MT quality estimation in Computer Assisted Translation. My research is supported by the European Project Matecat. I have worked on: Statistical machine translation. Text classification. Integration of semantic in text classification. Detection of content in text documents. Clustering techniques. Semi-supervised clustering algorithms. Soft-clustering. Active learning algorithms for text classification. Language evolution. Smoothing techniques for parameter estimation. Time series analysis of textual data. Detection of text pattern into text documents. Web mining. Statistical learning theory. Specialties: Programming Languages: Ansi c, Pascal, Java, C++, html, Perl, python, qt and kde graphical libraries under Linux Technical Langauges: matlab, scipy Application programs: Ms-Office, OpenOffice, StarOffice, Java search engine: Lucene, General Architecture for Text Engineering: Gate, Weka, Apache Cayenne, Moses. Operating System: Windows, Linux Database: mySql Varied Knowledge: High Performance Computing (HPC), high confident in large-scale dataset manage.