Foto del docente

Fabio Tamburini

Associate Professor

Department of Classical Philology and Italian Studies

Academic discipline: L-LIN/01 Historical and General Linguistics

Research

Keywords: Corpus Annotation Computational Linguistics Corpora Prominence Syntactic parsing Deep Learning

SPEECH PROSODY
Automatic prominence detection in continuous speech, also in a typological perspective, through the development of models based on acoustic parameters. Focus and information structure detection in continuous speech.

PATHOLOGICAL LANGUAGE ANALYSIS
Computational analysis of patients' dialogues for an early identification of Alzheimer's disease.

DISTRIBUTIONAL SEMANTIC MODELS
Geometrical models for computational management of meaning using Word Space, Semantic Vector Space models or Word embeddings, for Word Sense Induction and discrimination.

MORPHOLOGICAL ANNOTATION OF LARGE CORPORA AND COMPUTATIONAL TOOLS FOR MORPHOLOGICAL ANNOTATION
CORIS/CODIS automatic annotation with morphological information to allow complex queries into the corpus.

PARSING
Design and development of automatic parsing systems for Categorial Grammars; development of new models for syntactic analysis - Unification Categorial Grammars - and design of an Italian grammar, using also automatic learning processes.

CORPORA ANNOTATION
Automatic induction of a set of lexical classes for Italian, to be used to annotate large corpora; design and development of fast and reliable Part-of-Speech taggers.

CORPUS LINGUISTICS
Design and construction of large corpora.

MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
During the last years he has been starting to develop and to apply machine and deep learning techniques to some classical problems in natural language processing, involving, in particular, quantum probability theory.

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