The Computational Complexity of Two-Level Morphology
Morphological analysis requires knowledge of the stems, affixes, combnatory patterns, and spelling-change processes of a language. The computational difficulty of the task can be clarified by investigating the computational characteristics of specific models of morphologial processing. The use...
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| Language: | en_US |
| Published: |
2004
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| Online Access: | http://hdl.handle.net/1721.1/6427 |
| Summary: | Morphological analysis requires knowledge of the stems, affixes, combnatory patterns, and spelling-change processes of a language. The computational difficulty of the task can be clarified by investigating the computational characteristics of specific models of morphologial processing. The use of finite-state machinery in the "two-level" model by Kimmo Koskenicimi model does not guarantee efficient processing. Reductions of the satisfiability problem show that finding the proper lexical??face correspondence in a two-level generation or recognition problem can be computationally difficult. However, another source of complexity in the existing algorithms can be sharply reduced by changing the implementation of the dictionary component. A merged dictionary with bit-vectors reduces the number of choices among alternative dictionary subdivisions by allowing several subdivisions to be searched at once. |
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