MORPHOLOGICAL ANALYSIS OF HISTORICAL LANGUAGES.

This paper describes the design of a system for parsing ancient Greek morphologically, taking into account the distinctive requirements of studying a historical language. Sets of stems and inflectional patterns identified by URNs are expressed in a specified orthography, and are loaded dynamically w...

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Publicado en:Bulletin of the Institute of Classical Studies Vol. 59; no. 2; pp. 89 - 103
Autor principal: SMITH, NEEL
Formato: Artículo
Publicado: Oxford University Press / USA Dec2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1111/j.2041-5370.2016.12040.x
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        atl: MORPHOLOGICAL ANALYSIS OF HISTORICAL LANGUAGES.
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        au: SMITH, NEEL
        affil: College of the Holy Cross, Worcester, MA
      su:
        Language & languages
        Orthography & spelling
        Computer programming
        Transducers
        Inflection (Grammar)
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        subj:
          Language & languages
          Orthography & spelling
          Computer programming
          Transducers
          Inflection (Grammar)
      ab: This paper describes the design of a system for parsing ancient Greek morphologically, taking into account the distinctive requirements of studying a historical language. Sets of stems and inflectional patterns identified by URNs are expressed in a specified orthography, and are loaded dynamically when the parser is built. Analytical results are also expressed with URN values for lexical entity and form, so that replies identify both the result of the analysis and the logic leading to the result. The underlying engine uses finite transducers to collect possible analyses of Greek words stripped of accents. A wrapper program implements an 'analysis by synthesis' algorithm by adding appropriate accents for each candidate analysis, and comparing the result to the originally submitted form. Parsers can be built or tailored to specific corpora without programming, by editing tables of stems and inflectional patterns.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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