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Corpus-based typology: applications, challenges and some solutions.

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Summary
This summary is machine-generated.

The increasing availability of diverse language corpora aids linguistic comparison, especially for probabilistic language properties. However, challenges remain, particularly concerning text types and defining comparative units like the word.

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Area of Science:

  • Linguistics
  • Computational Linguistics
  • Corpus Linguistics

Background:

  • The number of corpora for language comparison has rapidly grown.
  • Corpora vary significantly in structure, size, and annotation, posing challenges for new users.
  • Traditional typological data from reference grammars remain valuable but are complemented by corpus data.

Purpose of the Study:

  • To navigate the landscape of language comparison corpora.
  • To highlight the advantages and challenges of using corpora for typology.
  • To present an empirical case study on text types and the word as a comparative concept.

Main Methods:

  • Charting the current territory of language comparison corpora.
  • Identifying landmarks, warning signs, and safe paths for corpus users.
  • Conducting an empirical case study on specific typological problems.

Main Results:

  • Corpora are well-suited for investigating probabilistic and gradient language properties.
  • Corpora facilitate the discovery and interpretation of cross-linguistic generalizations.
  • The study addresses the impact of text types and the definition of 'word' in cross-linguistic comparison.

Conclusions:

  • Corpora offer valuable opportunities for linguistic typology, complementing traditional methods.
  • Effective use of corpora requires awareness of their diversity and inherent challenges.
  • Further research is needed to refine comparative methodologies using corpora, especially concerning text and lexical units.