This work consists of an investigation into the properties of unknown words in HPSG, and in particular into the phenomenon of multi-word unknown expressions consisting of multiple unknown words in a sequence. The work presented consists first of a study determining the relative frequency of multi-word unknown expressions, and then a survey of the efficacy of a variety of techniques for handling these expressions. The techniques presented consist of modified versions of techniques from the existing unknown-word prediction literature as well as novel techniques, and they are evaluated with a specific concern for how they fare in the context of sentences with many unknown words and long unknown sequences. / text
| Identifer | oai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/26312 |
| Date | 06 October 2014 |
| Creators | Mielens, Jason David |
| Source Sets | University of Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf |
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