NLP Lab Experiments

Notebook-ready implementations of the seven complete NLP lab programs supplied in the lab manual. The examples are adapted to run in Jupyter Notebook and Google Colab, with malformed indentation and syntax corrected and code comments removed from the inserted programs.

Install the plnlab distribution; the Python import name remains NLP.

Install

pip install plnlab

Use in Jupyter or Google Colab

%pip install plnlab
import NLP
NLP.p1()

Run the setup and call in one cell. Calling p1() replaces that cell's input with the program source. Review and run the replacement cell yourself. The package checks and installs the known third-party dependency needed by that experiment when it is missing. It does not install packages during import or run the program automatically.

When NLP.p1() runs, the package sends a frontend delete-cell request for the cell immediately above the current cell, regardless of that cell's contents, before replacing the current cell. This uses the notebook frontend in the same way that cell insertion uses IPython's frontend hooks; support depends on the frontend exposing its notebook cell model. Keep only the launcher cell above the call when using this cleanup behavior.

Programs

The manual includes an eighth experiment prompt about low-resource machine translation, but it does not include a corresponding program listing. This release contains the seven program listings that were provided.

Release

Build distributions from this directory:

python -m build

Upload using a PyPI API token stored in the PYPI_API_TOKEN environment variable:

TWINE_USERNAME=__token__ TWINE_PASSWORD="$PYPI_API_TOKEN" python -m twine upload dist/*

Do not put the token in source code, notebook cells, or shell history.