Credits¶
Many people from CEA LIST, permanent staff, PhD students and interns, have
contributed to LIMA over the years. The list of authors is maintained in the
AUTHORS file.
LIMA builds on several free software libraries and linguistic resources, including:
- Qt and Boost;
- libtorch (PyTorch C++) and Eigen for the neural modules;
- fastText word embeddings;
- Universal Dependencies treebanks for training the models;
- NLTK data (Penn treebank extract) for the legacy English tagger;
- SVMTool (through its C++ port).
See the COPYING file for
the complete list and their licenses.