A Grammatical Inference Model for Measuring Language Complexity

作者:Becerra Bonache Leonor; Dolores Jimenez Lopez M
来源:ADVANCES IN COMPUTATIONAL INTELLIGENCE, PT I (IWANN 2015), SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 3-17, 2015.
DOI:10.1007/978-3-319-19258-1_1

摘要

The 21st century has re-opened the interest of Linguistics on the complexity of natural languages. The equi-complexity dogma -the idea that all languages must be equally complex-has been challenged by a number of researchers that claim that indeed natural languages differ in complexity. In the last fifteen years, challengers of the equi-complexity dogma have proposed many complexity measures that depend on their way of defining complexity. In this paper, we propose a grammatical inference model to measure the relative complexity of languages. The computational tool we introduce is the result of an interdisciplinary study inspired in the process of natural language acquisition.

  • 出版日期2015

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