Simplifying Text Processing with Grammatically Aware Regular Expressions
Rafał Rzepka, Tyson Roberts, Kenji Araki · 2012
In our paper we introduce Grammatically Aware Regular expression (GARE) and describe its usage using examples from moral consequences retrieval task. GARE is an extension to the regular expression concept that overcomes many of the difficulties with traditional regexp by adding Normalization (e.g., searching all grammatical forms with basic form of a verb or adjective is possible) or POS awareness (e.g. searching only for adjectives after “wa” particle is possible). We explain how it works, what makes it more expressive for natural language, and how it solves a number of matching cases that traditional regular expressions cannot solve on their own.