This is a proposed model for Neural Morphological Analysis. The model takes input character embeddings of a token and outputs lemma, part-of-speech, and set of morphological features.
- Contextual Embeddings
- Finite State Transducer for Phonological Normalization
- Reducer Model implementation
- Dataset Comparison
- Model Comparison