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This study revisits 10 problems in computational historical linguistics proposed in 2019. Most problems remain unsolved, despite advancements in the field over the past five years.

Keywords:
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Area of Science:

  • Computational Historical Linguistics
  • Digital Humanities
  • Linguistic Research

Background:

  • Scientific research originates from problems.
  • A list of 10 problems in computational historical linguistics was proposed in 2019.
  • These problems were considered solvable but lacked immediate solutions.

Purpose of the Study:

  • To reflect on different types of scientific problems.
  • To re-evaluate the 2019 list of computational historical linguistics problems.
  • To propose a modified list considering recent advancements.

Main Methods:

  • Literature review of developments in computational historical linguistics over the past five years.
  • Analysis and discussion of the 2019 problem list in light of current research.
  • Synthesis of new insights to modify the original problem list.

Main Results:

  • The majority of the 10 proposed problems in computational historical linguistics remain unsolved.
  • Recent advancements have provided new perspectives but not yet solutions for most problems.
  • A modified list of problems is proposed, incorporating current insights.

Conclusions:

  • The field of computational historical linguistics continues to face significant challenges.
  • Ongoing research and development are crucial for addressing these complex linguistic problems.
  • The modified problem list serves as a roadmap for future research in the field.