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Categorizing Unknown Words:

Categorizing Unknown Words:. Using Decision Trees to Identify Names and Misspellings. Janine Toole Simon Fraser University Burnaby, BC, Canada. From ANLP-NAACL Proceedings, April 29-May 4, 2000 (pp.. 173-179). Goal: automatic categorization of unknown words.

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570 views • 42 slides

Development of the Embedded Speech Recognition Interface done for AIBO

Development of the Embedded Speech Recognition Interface done for AIBO. ICSI Presentation January 2003. Xavier Menendez-Pidal, jointly with: Gustavo Hernandez-Abrego, Lei Duan, Lex Olorenshaw, Honda Hitoshi, Helmut Luke. Spoken Language Technology, SONY NSCA

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340 views • 17 slides

Ex. 11 (pp.409)

Ex. 11 (pp.409). Given the lattice structure shown in Figure 6.33 and the transactions given in Table 6.24 , label each node with the following letter(s): M if the node is a maximal frequent itemset, C if it is a closed frequent itemset,

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253 views • 9 slides

Goals

Scans. Models. Consistency and Confidence: A Dual Metric for Verifying 3D Object Detections in Multiple LiDAR Scans David L. Doria 1 and Richard J. Radke 2 Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering. Goals. The Consistency Measure.

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120 views • 1 slides

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Categorizing Unknown Words:

Development of the Embedded Speech Recognition Interface done for AIBO

Ex. 11 (pp.409)

Goals