Abstract

For more than half a century, finite-state methods and mathematical linguistics have benefitted from a close relation and fruitful interaction. Both research fields aim to achieve a deeper understanding of human language by means of mathematical techniques. For the automated processing of language by computers such a mathematical basis is an indispensable prerequisite. Historically, the goal pursued by mathematical linguists to formalize natural language syntax in a computer-accessible way was one of the strongest driving forces behind the development of finite-state methods. Thus, it is no exaggeration to say that the field of finite-state methods owes its existence to a large extent to mathematical linguistics. In turn, continued research on finite-state methods has resulted in a categorization of various kinds of language classes and language aspects, together with efficient and provably correct algorithms, thus expanding our understanding of the mathematical properties of language.

Highlights

  • The two premier conferences in these fields are Finite-State Methods in Natural Language Processing (FSMNLP) and Mathematics of Language (MoL), organized biannually by their respective ACM Special Interest Groups SIGFSM and SIGMOL

  • For more than half a century, finite-state methods and mathematical linguistics have benefitted from a close relation and fruitful interaction

  • The goal pursued by mathematical linguists to formalize natural language syntax in a computer-accessible way was one of the strongest driving forces behind the development of finite-state methods

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Summary

Introduction

The two premier conferences in these fields are Finite-State Methods in Natural Language Processing (FSMNLP) and Mathematics of Language (MoL), organized biannually by their respective ACM Special Interest Groups SIGFSM and SIGMOL. 1 Department of Computing Science, Umeå University, Umeå, Sweden 2 Department of Advanced Sciences, Hosei University, Tokyo, Japan

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