An supervised morphological analyzer based on language typological information. ParaMA2 is an improved version of ParaMA.
This is an unsupervised tool for analyzing suffixation morphology for any languages given a list of words. The details of the algorithm can be found in the following paper:
Hongzhi Xu, Jordan Kodner, Mitch Marcus, Charles Yang. 2020. Unsupervised Learning of Language Morphology by Exploring Language Typology. In Proceedings of the 58th Annual Conference of Association for Computational Linguistics (ACL). pages 6672–6681.
Use the following command to segment a word list (each line: <word> <freq>), and save it to a file.
python3 main.py my_data.txt -o my_data_seg.txt
If you have a training word list and a test word list, you can use the following.
python3 main.py training_data.txt -o training_seg.txt -ti test_data.txt -to test_seg.txt
You can check main.py for more details.
The output also gives the derivational chain information. For example, the word sterilizing is derivated by sterilize, deleting e and plus -ing, which is then derived from sterile, deleting e and plus -ize. The line will be like the following except that there will be no brackets.
sterilizing <\t> steril iz ing <\t> (sterile X $) (sterile X_<ize> del:e:r) (steril__ize X_<ing> del:e:r)