| Paper: | SLP-P17.11 | ||
| Session: | Spoken Language Modeling, Identification and Characterization | ||
| Time: | Thursday, May 18, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech and Spoken Language Processing: Language modeling and Adaptation | ||
| Title: | Strategies for Language Model Web-data Collection | ||
| Authors: | Vincent Wan, Thomas Hain, University of Sheffield, United Kingdom | ||
| Abstract: | This paper presents an analysis of the use of textual information collected from the internet via a search engine for the purpose of building domain specific language models. A framework to analyse the effect of search query formulation on the resulting web-data language model performance in an evaluation is developed. The framework gives rise to improved methods of selecting n-gram search engine queries, which return documents that make better domain specific language models. | ||
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