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 the immediately preceding cell contains pip install plnlab, the package also sends a frontend delete-cell request before replacing the current cell. The request checks the previous cell's source first, so unrelated cells are not removed. 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.

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.