Feature Slides

NITRD 20th Anniversary Symposium

NITRD 20th Anniversary Symposium

The Knight Conference Center, Newseum, Washington D.C.

February 16, 2012




HUMAN LANGUAGE TECHNOLOGY: WHAT MACHINES DO WITH TEXT AND SPEECH

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Summary

What is human language technology?

We do many things with human language: we communicate with each other, we store knowledge, we ask questions, we entertain. The ability to use language comes to us naturally. But computers must be programmed to understand and generate human language, and this constitutes a major challenge in artificial intelligence. Sample applications include:

Understanding and generating human language is hard for computers because every word has many meanings. The computer must select the right one based on context, but there are an infinite number of contexts. Even then, selecting the right word meanings is not enough - we must then assemble word meanings correctly to understand whole sentences and texts.

Fifteen years ago, individual users rarely encountered human language technology. Now anyone with web access can use, for example:

Military, intelligence, and corporate customers make use of an even wider range of new human language technologies, to save money and lives, and to break into new markets.

We have achieved these successes because we stopped worrying about the very hardest linguistic constructions, and instead started worrying about handling the bulk of what computers see and hear. We embraced uncertainty by building probabilistic models of language, and we trained those models on vast data collections.

There are many things we cannot yet do. The challenging task of extracting meaning from speech and language will enable many new applications in the future.



Bio

Kevin Knight is a senior research scientist and fellow at the Information Sciences Institute of the University of Southern California (USC), and a research professor in USC's Computer Science Department. He received a Ph.D. in computer science from Carnegie Mellon University and a bachelor's degree from Harvard University. Dr. Knight's research interests include natural language processing, machine translation, and decipherment. In 2001, he co-founded Language Weaver, Inc., which provides commercial machine translation solutions to business and government customers. In 2011, he served as president of the Association for Computational Linguistics. Dr. Knight has taught computer science courses at USC for more than fifteen years, and he led an influential intensive workshop on machine translation at Johns Hopkins University. He has authored over 70 research papers on natural language processing, including several best paper awards. Together with Elaine Rich, Dr. Knight also co-authored the widely adopted textbook, Artificial Intelligence (McGraw-Hill).