no code implementations • WS 2019 • Vladislav Mikhailov, Lorenzo Tosi, Anastasia Khorosheva, Oleg Serikov
The paper describes initial experiments in data-driven cross-lingual morphological analysis of open-category words using a combination of unsupervised morpheme segmentation, annotation projection and an LSTM encoder-decoder model with attention.