pylazaro

A library for lexical borrowing detection (a.k.a loanwords) in Spanish, with a focus on anglicism detection.

Installation

To install pylazaro simply run the following command from the command line:

   pip install pylazaro

To uninstall pylazaro simply run the following command from the command line:

   pip uninstall pylazaro

Get started

A working example on how to detect borrowings in a text using pylazaro:

>>> from pylazaro import Lazaro

# We create our borrowing detection tagger
>>> tagger = Lazaro()

# The text we want to analyze for borrowing detection
>>> text = "Inteligencia artificial aplicada al sector del blockchain, la e-mobility y las smarts grids entre otros; favoreciendo las interacciones colaborativas."

# We run our tagger on the text we want to analyze
>>> result = tagger.analyze(text)

# We get results
>>> result.borrowings_to_tuple()
[('blockchain', 'en'), ('e-mobility', 'en'), ('smarts grids', 'en')]

>>> result.tag_per_token()
[('Inteligencia', 'O'), ('artificial', 'O'), ('aplicada', 'O'), ('al', 'O'), ('sector', 'O'), ('del', 'O'), ('blockchain', 'B-ENG'), (',', 'O'), ('la', 'O'), ('e-mobility', 'B-ENG'), ('y', 'O'), ('las', 'O'), ('smarts', 'B-ENG'), ('grids', 'I-ENG'), ('entre', 'O'), ('otros', 'O'), (';', 'O'), ('favoreciendo', 'O'), ('las', 'O'), ('interacciones', 'O'), ('colaborativas', 'O'), ('.', 'O')]

More info

• Documentation on how to use pylazaro in Read the docs.
• The code is available on GitHub.
• pylazaro gives access to the models described on this ACL paper
• Questions? Bugs? Requests? Ideas? Feel free to reach me via email, open a GitHub issue or ping me on Twitter.