Morphological Analysis is a central task in language processing that can take a word as input and detect the various morphological entities in the word and provide a morphological representation of it.
pymorphy2 is a morphological analyzer and generator for Russian and Ukrainian languages.
In this paper we describe an end to end Neural Model for Named Entity Recognition NER) which is based on Bi-Directional RNN-LSTM.
Unfortunately, even this approach does not scale well enough to keep up with the increasing availability of galaxy images.
We present our CHARLES-SAARLAND system for the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology, in task 2, Morphological Analysis and Lemmatization in Context.
We present CAMeL Tools, a collection of open-source tools for Arabic natural language processing in Python.