The open-source pylazaro package addresses the lack of standard tools for identifying unassimilated lexical borrowings, primarily anglicisms, in Spanish text. It provides a unified interface to five distinct sequence labeling models trained with different libraries, allowing users to switch between them without managing underlying framework complexities. This tool supports data-centric linguistics tasks such as lexicography and corpus analysis by automating the extraction of these specific linguistic features.
- Provides a single API to run five different sequence labeling models for Spanish anglicism detection.
- Solves the problem of managing idiosyncrasies across multiple NLP libraries for a specific task.
- Targeted at linguistics workflows like lexicography and corpus analysis rather than general NLP.
- Focuses on unassimilated borrowings, not general translation or semantic similarity.