Tutorial and introduction into programming with Python for the humanities and social sciences
Role in this project:
Back-end Developer Contributions:130 commits in 26 days
Contributions summary:Maarten primarily contributed to the development of a text analysis application using Python. Their work involved the implementation of core components, including tokenization, sentence splitting, and n-gram extraction, as well as the creation of a frequency list. The user also integrated these components and incorporated command-line argument parsing, culminating in a functional text processing tool. These changes built the foundational preprocessing steps of the Python course.
pythonhumanitiespython-courseteaching
Moses, the machine translation system
Role in this project:
Back-end Developer Contributions:18 commits in 1 year 9 months
Contributions summary:Maarten primarily debugged and improved the Moses machine translation system. Their contributions focused on refining the `Hypothesis` class, which is central to the decoding process, likely involving modifications to scoring and feature calculations. The commits indicate attempts to identify and correct issues related to score breakdowns and feature interactions. This involved changes in the source code, specifically within the `Hypothesis.cpp` and `Hypothesis.h` files, improving the quality of machine translation results.
machine-translation