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Approximating an Interlingua in a Principled Way

What it is about

The paper gives a method for building the ontology of an interlingua one language at a time. For each language, a taxonomy of the linguistic generalisations needed by its analyser and generator is built first. Then the domain entities are placed in that taxonomy, and the result is merged into the existing interlingua ontology. The guiding criterion is that the ontology must be just powerful enough to draw the distinctions that analysis and generation need in the given domains. A term is added only if it captures a distinct linguistic phenomenon that is not already handled. The authors accept that the ontology will lean toward the languages already folded in, and approach language neutrality asymptotically. The paper is a method description and has no quantitative evaluation.

Ideas

For Mova

The folding procedure is the closest method to the meta-world's merge rule, and the stability measure in I2 can be run on the existing Bible pairs. The code is tools/translate (meta.rs) and the features come from en/src/morph.rs. The paper's criterion is qualitative, so each step needs the residual count before it is accepted.

Topics: Machine translation

Cite

The paper itself, not this card. BibTeX from the library's record of the work.

@inproceedings{hovy1992approximating,
  title = {{Approximating an Interlingua in a Principled Way}},
  author = {Hovy, Eduard and Nirenburg, Sergei},
  booktitle = {Speech and Natural Language: Proceedings of a Workshop Held at Harriman, New York, February 23-26, 1992},
  year = {1992},
  url = {https://aclanthology.org/H92-1052/}
}

References

17 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

  1. Bateman, J.A. 1988. Aspects of Clause Politeness in Japanese: An Extended Inquiry Semantics Treatment. In Proceedings of the ~6th Annual Conference of the ACL, Buffalo (147-154). find
  2. Bateman, J.A., Kasper, R.T., Moore, J.D. and Whitney, R.A. 1989. A General Organization of Knowledge for Natural Language Processing: The Penman Upper Model. Unpublished research report, USC/Information Sciences Institute, Marina del Rey. find
  3. Brugman, C. 1983. The Use of Bady-Part Terms as Locatives in Chalcatongo Mixtec. In Report no. 4 of the Survey of California and Other Indian Languages, University of California at Berkeley (235-290). find
  4. Carlson, L. and Nirenburg, S. 1990. World Modeling for NLP. Technical Report no. CMU-CMT-90-121, Carnegie Mellon University, Pittsburgh. find
  5. Dahlgren, K., McDowell, J., and Stabler, E.P. 1990. Knowledge Representation for Commonsense Reasoning with Text. Computational Linguistics 15 (149-170). find
  6. Farwell, D. 1990. Description of the Intermedia Representation System for the CRL Multilingual Machine Translation System. Unpublished document, Computing Research Laboratory, New Mexico State University, Las Cruces. find
  7. Hinrichs, E.W., Ayuso, D.M., Scha, R. 1987. The Syntax and Semantics of the JANUS Semantic Interpretation Language. In Research and Development in Natural Language Understanding as Part o] the Strategic Computing Program. Annual Technical Report no. 6552, BBN Laboratories, Cambridge. find
  8. Jackendoff, R. 1985. Semantics and Cognition. Cambridge: MIT Press. find
  9. Kay, M., Gawron, J.M., and Norvig, P. 1991. Verbmobil: A Translation System for Face-to-Face Dialog. CSLI Study. find
  10. Lakoff, G. 1987. Women, Fire, and Dangerous Things. Chicago: University of Chicago Press. find
  11. Lang, E. 1991. The LmoG Ontology from a Linguistic Point of View. In O. Herzog and C-R. Rollinger (eds), Text Understanding in LILOG. Berlin: Springer (464-480). find
  12. McCawley, J.D. 1978. Conversation Implicature and the Lexicon. In P. Cole, ed. Syntax and Semantics vol. 9. New York: Academic Press (245-259). find
  13. Meyer, I., Onyshkevych, B., and Carlson, L. 1990. Lexicographic Principles and Design for Knowledge-Based Machine Translation. Technical Report no. CMU-CMT-90-118. Carnegie Mellon University, Pittsburgh. find
  14. Monarch, I. 1989. ONTOS Reference Manual. Technical Memo, Center for Machine Translation. Carnegie Mellon University, Pittsburgh. find
  15. Nirenburg, S. and Defrise, C. 1992. Application-Oriented Computational Semantics. In R. Johnson and M. Rosner (eds.), Computational Linguistics and Formal Semantics. Cambridge: Cambridge University Press. find
  16. Rosch, E. 1973. Natural Categories. Cognitive Psychology 4 (328-350). find
  17. Whorf, B.L. 1956. Language, Thought, and Reality: Selected writings o/ Benjamin Lee Whorl, ed. John B. Carroll, Cambridge: MIT Press. find

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