|Natural language analysis|
|Teaching Staff in Charge|
Natural language processing is now accepted as one of the most studied and active field of Computer Science. The notion of feature structure as linguistic object stands on the base of most recent approaches which are surveyed in this course. Also, are presented the semantics and pragmatics of natural language processing which are central in human -computer interaction, information retrieval, text mining, text summarization and text generation.
1. Feature structures (FS) as objects of linguistic knowledge representation. Subsumation and unification of FSs. Proof theory of descriptors. Well-typed and total-well-typed feature structures.
2. Unification grammars. Definite clause grammars, HPSG grammars. ALE as soft for HPSG grammars.
3. Statistics for natural language processing . Hidden Markov Model, the probability of input sequences. Probabilistic grammars. Text categorization.
4. Word disambiguation: algorithms for supervised, bootstrapping and non-supervised disambiguation. Algorithms for client/server disambiguation.
1. J.ALLEN : "Natural language understanding", Benjamin/Cummings Publ., 2nd ed., 1995.
2. B.CARPENTER: "The logic of typed feature structures", Cambridge University Press,1992.
3. B.CARPENTER: "ALE:The attribute logic engine.User's guide". Carnegie Mellon University,1994.
4. D.JURAFSKY, J.MARTIN: "Speech and language processing", Prentice Hall, 2000.
5. C.MANNING, H.SCHUTZE: "Foundation of statistical natural language processing", MIT, 1999.
6. G.MORILL:"Type LogicalGrammar.Categorial Logic of Signs", Kluwer Academic Publishers, 1994.
7. S.J.RUSSELL, P.NORVIG: "Artificial intelligence.A modern approach", Prentice-Hall International, 1995.
8. D.TATAR: "Inteligenta artificiala: demonstrare automata de teoreme, prelucrarea limbajului natural", Editura Albastra, Microinformatica, 2001.
9. D.TATAR: "Inteligenta artificiala. Aplicatii in prelucrarea limbajului natural", Ed. Albastra, Microinformatica, 2003
10.E. CHARNIAK: "Statistical language learning", MIT Press, 1996.
The examination is by oral exam, with the subjects from all the matter. The activity
of developing a project at laboratory will be a component of the final mark.