This paper focuses on normalizing quantitative expressions, a crucial step for enhancing natural language processing tasks in the Belarusian language. They present a NooJ syntactic grammar designed to identify and standardize different quantitative expressions in Belarusian texts. Beyond explaining the grammar, they provide practical techniques for searching for and analyzing dates, Cyrillic and Roman numbers, years, and quantitative expressions with measurement units, whose processing poses significant problems to automatic processing and usage in various technologies, including speech synthesis and recognition systems. This work contributes significantly to Belarusian NLP, laying the foundation for effectively unifying different syntactic grammars compiled in NooJ that determine intonation boundaries in electronic texts.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Automatic Processing of Free Word Combinations Containing Quantitative Expressions in NooJ

  • Yauheniya Zianouka,
  • David Latyshevich,
  • Yuras Hetsevich

摘要

This paper focuses on normalizing quantitative expressions, a crucial step for enhancing natural language processing tasks in the Belarusian language. They present a NooJ syntactic grammar designed to identify and standardize different quantitative expressions in Belarusian texts. Beyond explaining the grammar, they provide practical techniques for searching for and analyzing dates, Cyrillic and Roman numbers, years, and quantitative expressions with measurement units, whose processing poses significant problems to automatic processing and usage in various technologies, including speech synthesis and recognition systems. This work contributes significantly to Belarusian NLP, laying the foundation for effectively unifying different syntactic grammars compiled in NooJ that determine intonation boundaries in electronic texts.