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Using Two-Level Morphology to Recognize Derived Agentive Nouns

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Proceedings of the European Computing Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 27))

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Abstract

This paper is about morphophonological modeling of derived agentive nouns. The system is implemented using the two-level morphology model, through the PC-KIMMO environment. The phonological rules are implemented through nine two-level rules, while the morphotactics is implemented using a finite state automaton.

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Notes

  1. 1.

    The sign + represents the morpheme boundary, and 0 the NULL character.

  2. 2.

    The rule for deleting the last e states also for the nouns, for example, from prose+er, it is derived proser. The doubling rule relates also to the nouns, for example, the surface form gunner, it is derived from the lexical form gun+er.

  3. 3.

    This rule is valid for the verbs, not for the nouns.

  4. 4.

    Namely, the characters h, g, and double r appear as a left context to the combination y+er, the other characters in the subset are part of the rule because of the other suffixes.

References

  1. Mitkov R (2003) The Oxford handbook of computational linguistics. Oxford University Press, Oxford

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  2. Kadriu A (2006) Analysing agentive nouns. In: Proceedings of the 28rd international conference on information technology interfaces. Cavtat, Croatia

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  3. Antworth EL (1995) Developing the rules component. North Texas natural language processing workshop. University of Texas, Arlington, USA

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  4. Antworth EL (1995) Introduction to PC-KIMMO. North Texas natural language processing workshop, University of Texas, Arlington, USA

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Correspondence to Arbana Kadriu .

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© 2009 Springer Science+Business Media, LLC

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Kadriu, A. (2009). Using Two-Level Morphology to Recognize Derived Agentive Nouns. In: Mastorakis, N., Mladenov, V., Kontargyri, V. (eds) Proceedings of the European Computing Conference. Lecture Notes in Electrical Engineering, vol 27. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-84814-3_32

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  • DOI: https://doi.org/10.1007/978-0-387-84814-3_32

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-84813-6

  • Online ISBN: 978-0-387-84814-3

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