NATURAL LANGUAGE AND COMPUTER VISION

The structure and morphology of language. The structure of terms. Words and their meaning. Determining the meaning using dictionaries. Unattended determining of sense. Semantic similarity. Markov’s models of grammar. Denoting parts of speech. Probabilistic context-free grammar. The probability of a string. Probabilistic parsing. Statistical editing and machine translation. Principles of computer vision. Shape recognition, motion detection, scene reconstruction. Intelligent systems and computer vision. Language and vision – a compound system of computer perception. Common semantics of speech and vision. The fusion of language and video information. Machine reading and understanding. Multimodal human-computer interaction.