Grammar-aware phrase dataset generated using a novel python package.

ABSTRACT: The past technique of manual dataset preparation was time-consuming and needed much effort. Another attempt to the data acquisition method was using web scraping. Such web scraping tools also produce a bunch of data errors. For this reason, we developed "Oromo-grammar" a novel Python package that accepts a raw text file from the user, extracts every possible root verb from the text, and stores the verbs into a Python list. Our algorithm then iterates over list of root verbs to form their corresponding list of stems. Finally, our algorithm synthesizes grammatical phrases using the appropriate affixations and personal pronouns. The generated phrase dataset can indicate grammatical elements like numbers, gender, and cases. The output is a grammar-rich dataset, which is applicable to modern NL

SUBMITTER: Gemechu EA 

PROVIDER: S-EPMC10293991 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature