Automatically extracting templates from examples for NLP tasks

• Main Authors: Ong, Ethel, Hong, Bryan Anthony, Nuñez, Vince Andrew
• Format: text
• Published: Animo Repository 2008
• Subjects: Machine translating; Natural language generation (Computer science); Wit and humor; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/500
• Institution: De La Salle University

In this paper, we present the approaches used by our NLP systems to automatically extract templates for example-based machine translation and pun generation. Our translation system is able to extract an average of 73.25% correct translation templates, resulting in a translation quality that has a low word error rate of 18% when the test document contains sentence patterns matching the training set, to a high 85% when the test document is different from the training corpus. Our pun generator is able to extract 69.2% usable templates, resulting in computer-generated puns that received an average score of 2.13 as compared to 2.7 for human-generated puns from user feedback. © 2007 by Ethel Ong, Bryan Anthony Hong, and Vince Andrew Nuñez.