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Dynamic Programming for Linear-Time Incremental Parsing Liang Huang USC Information Sciences Institute 4676 Admiralty Way, Suite 1001 Marina del Rey, CA 90292 lhuang@isi.edu Kenji Sagae USC Institute for Creative Technologies 13274 Fiji Way Marina del Rey, CA 90292 sagae@ict.usc.edu Abstract Incremental parsing techniques such as shift-reduce have gained popularity thanks to their efficiency, but
the Voynich Manchuscript a mystery
The Natural Language Group at the USC Information Sciences Institute conducts research in natural language processing and computational linguistics, developing new linguistic and mathematical techniques to make better technology. We have a wide range of ongoing projects, including those related to statistical machine translation, question answering, summarization, ontologies, information retrieval
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Discourse structures: trees or graphs
PII: S0004-3702(02)00222-9
