This week’s natlang lab meeting is on Thursday May 17, 2011 at 10:00am, in TASC1 9408.
Practice talk: Automatic Generation of Multilingual Sports Summaries (Fahim Hasan)
Natural Language Generation is a subfield of Natural Language Processing, which is concerned with automatically creating human readable text from non-linguistic forms of information. A template-based approach to Natural Language Generation utilizes base formats for different types of sentences, which are subsequently transformed to create the final readable forms of the output. In this thesis, we investigate the suitability of a template-based approach to multilingual Natural Language Generation of sports summaries. We implement a system to generate English and Bangla summaries making use of a pipelined architecture to transform data in multiple stages. Additionally, we investigate the evaluation of automatically generated summaries, and look at how they differ from human generated summaries. We show that by using a template-based approach the system can generate acceptable output in multiple languages without requiring detailed grammatical knowledge, which is important for languages such as Bangla where computational resources are still scarce.