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Computational Linguistics @ UIUC

Computational Linguistics @ UIUC. Roxana Girju girju@illinois.edu Student Orientation August 22, 2013. Computational Linguistics  Artificial Intelligence. Goal: to understand the nature of intelligence, to engineer systems that exhibit intelligence. AI labs:

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Computational Linguistics @ UIUC

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  1. Computational Linguistics @ UIUC Roxana Girju girju@illinois.edu Student Orientation August 22, 2013

  2. Computational Linguistics  Artificial Intelligence • Goal: • to understand the nature of intelligence, • to engineer systems that exhibit intelligence. • AI labs: • Build systems / robots that mimic the human behavior / mind. • MIT lab: vision, robotics, and natural language processing – keys to understand intelligence • UIUC: NLP/CL, speech recognition, computer vision;

  3. What is Computational Linguistics? • area concerned with the creation of computer systems for the purpose of performing various NL tasks: • Reading/writing a book • Holding a conversation • Machine Translation • Searching for useful and hidden information • BUT.. also an area in which computer systems are used to give insights into complex language issues • Computational models of psycholinguistic processes • Computational models of historical development • Models of language acquisition • Insights into second-language learning • plays an increasing role in curbing the information on the Internet.

  4. Computational Linguistics @ Ling/UIUC People: • Jennifer Cole • Phonology, speech processing, cognitive science, and mathematical linguistics • Roxana Girju – Computational Linguistics & Natural Language Processing • Computational semantics & pragmatics, textual entailment, machine translation, question answering, computational cognitive models / social computing, social media. • Mark Hasegawa-Johnson (ECE) • Automatic speech recognition; pronunciation variability; prosody. • Julia Hockenmaier - Computational Linguistics & Natural Language Processing (CS) • computationally tractable grammars for wide-coverage parsing; interface between natural language and vision. • Dan Roth – Computational Linguistics & Natural Language Processing (CS) • machine learning and inference methods; disambiguation, shallow parsing, semantic role labeling, co-reference, question answering and textual entailment. • Chilin Shih – Asian studies & Corpus Linguistics

  5. Why Study Computational Linguistics? • To get a job in industry • e.g.,many current job listings are CL jobs • Google Inc. • Amazon Inc. • 7 Inc., etc. • To get a job in academia: • As a computational linguist • computational literacy and an understanding of computational methods will become critical in the next decade.

  6. Semantic Frontiers Group • http://apfel.ai.uiuc.edu/index.html (Beckman #2043) • Our goal is to investigate computational natural language semantic and pragmatic models for intelligent information access. • We work on key applications of human language technology: • Machine Translation, • Discourse Processing, • Semantics and Tagging, • Social Media, • Biomedical information Extraction, and • Automatic Question Answering. And more !

  7. Semantic Frontiers Group Some recent computational projects: • “Multi-dialect phrase-based speech recognition and machine translation for Qatari broadcast TV”. • National Priorities Research Program (NPRP), Qatar National Research Fund, • with M. Hasegawa-Johnson, E. Benmamaoun, Rehab Duwairi, Eiman Mustafawi • Students: Chen Li, Rania Al-Sabbah • “Assess-As-You-Go Writing Assistant”. • The US Department of Education • with a large group from Dept. of Education and CS • Students: David Lundgren • “A Text-to-Scene Conversion and Visualization System for Car Accident Reports” • State Farm • Students: Chen Li, Brandon Beamer, Rania Al-Sabbagh • “Image-to-text conversion for large image search” • Google Inc.

  8. CL: Courses Offered • LING402Tools and Techniques for Speech and Language Processing • LING270Language, Technology and Society • LING406Introduction to Computational Linguistics • LING591 – Special Topics in Computational Linguistics.

  9. ADVANCED STUDY IN LANGUAGE AND SPEECH PROCESSING AT UIUC • LSP is a multidisciplinary program for doctoral students with an interest in speech and language processing technology. • Is open to students who are pursuing a Ph.D. in the Departments of Linguistics, Electrical and Computer Engineering,Computer Science, and the Graduate School of Library and Information Science. • students would earn a Certificate of Advanced Study in Language and Speech Processing, in addition to the Ph.D. • students will take courses from a specified list, and work with a program-affiliated faculty member; faculty members affiliated with the program have appointments in one or more of the following departments: • Linguistics, Electrical and Computer Engineering, Computer Science, Library and Information Sciences. http://lsp.linguistics.illinois.edu/

  10. Thank you! For more information: Roxana Girju, girju@illinois.edu

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