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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.17585163 |
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Table of Contents:
- <p>This record contains a digitized portion of the author's two-volume 2000 Doctor of Computer Science dissertation from Colorado Technical University, titled "Enabling a Morphological Parser to Use DATR-BASED Lexicons."</p> <h3>File Availablity</h3> <p>The complete thesis originally consisted of:</p> <ul> <li>Volume I: Disseration. This volume has not been digitized and is not included in this upload.</li> <li>Volume II: Appendices. <ul> <li>Appendix 1: An Overview of Ogea Morphophonemics and Morphotactics.</li> <li>Appendix 2: The Ogea AMPLE Lexicon</li> <li>Appendix 3: The Ogea DATR Lexicon</li> <li>Appendix 4: The Yalálag Zapotec AMPLE and DATR Lexicons</li> <li>Appendix 5: Perl Scripts</li> </ul> </li> </ul> <p>This upload contains only the first 71 pages of Volume II, including Appendix 1: "An Overview of the Morphology of the Ogea Language"</p> <p>The original files for the thesis are no longer available and are not included in this record. </p> <h3>Abstract</h3> <p>This research is an investigation of the feasibility and desirability of using DATR with AMPLE, a legacy morphology exploration tool developed by the Summer Institute of Linguistics. The research demonstrates the feasibility of using DATR with AMPLE by showing how DATR can be used to encode the lexical information required by AMPLE and by presenting an interface between AMPLE and DATR-based lexicons that does not require modification of AMPLE itself. The desirability of using DATR with AMPLE is shown by demonstrating that there are generalizations that cannot be captured using AMPLE's lexical knowledge representation language (LKRL) that can be captured in DATR, thereby reducing redundancy of lexical information.</p> <p>The author analyzed the morphophonemics and morphotactics of a Papuan language, Ogea, and built a comprehensive AMPLE unified database lexicon that supports the parsing of every example found in the author's write-up of Ogea. Next, the author developed a DATR-based version of the lexicon, as well as an interface to generate an AMPLE lexicon from DATR. It was found that linguistic generalizations not possible in AMPLE's LKRI could be made in DATR. Through these generalizations, explicitly encoded information in the Ogea AMPLE lexicon was reduced by nearly 64% in the DATR version of the same lexicon. The validity of the interface from the DATR lexicon to the AMPLE lexicon was programmatically verified. A portion of an AMPLE root database file for a second language, Yalálag Zapotec, was also analyzed. It was demonstrated that for that language also, generalizations not possible to make with the AMPLE LKRL could be made in DATR. Explicitly encoded information in the Yalálag Zapotec subset AMPLE lexicon was reduced by 62% in the DATR version.</p>