PPT-NLP Natural Language Processing

Class Logistics Quiz Where is this quote from Dave Bowman Open the pod bay doors HAL HAL Im sorry Dave Im afraid I cant do that Quiz Answer 2001 A Space Odyssey 1968 film by Stanley Kubrick . Language Processing. Lecture . 3. Albert . Gatt. 1. LIN3022 Natural Language Processing. Reminder: Non-deterministic FSA. An FSA where there can be multiple paths for a single input (tape).. Two . basic approaches . Christopher Manning. Stanford University. Digital Humanities 2011. http://nlp.stanford.edu/~manning/courses/DigitalHumanities. /. . Commencement 2010. My humanities qualifications. B.A. (. Hons. ), Australian National University. Morphology and the Lexicon. Mental Lexicon. What is the meaning of cat? Its pronunciation? Part of speech?. What is the meaning of . wug. ?. What is the meaning of . cluvious. ?. Compare . traftful. and . Hongning Wang. CS@UVa. What is NLP? . كلب هو مطاردة صبي في الملعب.. How can a computer make . sense. out of this . string. ? . Arabic text. - What are the basic units of meaning (words)?. Subproblems. . Meliha. . Yetisgen-Yildiz. From last week’s discussion. Presentation. Schedule. : . http. ://faculty.washington.edu/melihay/. MEBI591C.htm. 50 . minutes . presentation+discussion+question. Regina Barzilay. What is NLP?. Goal: intelligent processing of human language. Not just effective string matching. Applications of NLP technology:. Less ambitious (but practical goals): spelling corrections, name entity extraction. Lecture . 5. Albert . Gatt. LIN3022 -- Natural Language Processing. In today’s lecture. We take a look at . n-gram. . language models. Simple, probabilistic models of linguistic sequences. LIN3022 -- Natural Language Processing. S . -> NP VP. NP -> DT N | NP PP. PP -> PRP NP. VP -> V NP | VP PP. DT -> 'a' | 'the'. N -> 'child' | 'cake' | 'fork'. PRP -> 'with' | 'to'. Parser. Earley. parser. Problems with left recursion in top-down parsing. VP . . VP PP. Background. Developed by Jay Earley in 1970. No need to convert the grammar to CNF. Left to right. Complexity. CSC 594 Topics in AI – Natural Language Processing Spring 2018 10 . Part-Of-Speech Tagging, HMM (1) (Some slides adapted from Jurafsky & Martin, and Raymond Mooney at UT Austin) POS Tagging Toru Ishida . Department . of Social . Informatics . Kyoto University. Japan. Towards an Integrated Architecture for Composite Language Services . and . Multiple . Linguistic Processing Components. Ulrich . Jiho . Han. Ronny (. Dowon. ) . Ko. Objective:. automatically generate the summary of review extracting the strength/weakness of the product. Use NLP techniques to predict ratings. Similar to sentimental analysis. J Pimentel, PHD, CCC-SLP, BC-ANCDS. Language terminology: 5 domains, 4 modalities. Language domains. Semantics. Phonology. Morphology. Syntax. Pragmatics/discourse. Language modalities. Verbal expression (speaking). by Hua Xu. Recent Activities. ETL tool development. Note Type Normalization. COVID-19 lab test normalization . A Potential ETL Workflow for NLP. Note. Note_NLP. Measure-. ment. Condition. Procedure. Drug.