Students are introduced to advanced techniques of natural language processing and extraction of useful
\nknowledge from unstructured text. Students are able to select and apply an appropriate natural language
\nprocessing technique to a specific domain and to implement applications that can interpret human
\nlanguage, as well as generate text in natural language.<\/p>\n
Fundamentals of linguistics. Areas of natural language processing: speech recognition, natural language
\nunderstanding and natural language generation. Text segmentation. Word recognition and sentence
\nrecognition. Ambiguity of language. Language structure and morphology. The structure of expression.
\nWords. Collocations. Statistical language processing. Statistical estimators. Combining estimators.
\nDetermining the meaning of words. Determining meaning using a dictionary. Determining meaning
\nwithout supervision. Lexical acquisition. Subcategorization of words. Selection preferences. Semantic
\nsimilarity. Markov models of grammar. Marking parts of speech. Probabilistic context-free grammar.
\nString probability. Probabilistic parsing. Statistical editing and machine translation. Vector space model.
\nLatent semantic indexing. Discourse segmentation. Text categorization. Decision trees.<\/p>\n
An overview of languages and natural language processing tools. Practical exercises with parsing,
\ntokenization, stemming, semantic reasoning in the chosen tool (example Python NLTK) and over a
\ncertain corpus of text. Implementation of language element tagging, entity extraction and text
\nclassification. Experimental exercise of generating text in natural language.<\/p>\n","protected":false},"excerpt":{"rendered":"
Objectives and outcomes Students are introduced to advanced techniques of natural language processing and extraction of useful knowledge from unstructured text. Students are able to select and apply an appropriate natural language processing technique to … Read more<\/a><\/p>\n Read more<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[199],"tags":[],"class_list":["post-13957","post","type-post","status-publish","format-standard","hentry","category-subjects"],"acf":[],"yoast_head":"\n