Data scarcity is a widespread problem in numerous natural language proce...
The Universal Morphology (UniMorph) project is a collaborative effort
pr...
Deep learning sequence models have been successfully applied to the task...
Sequence-to-sequence models have delivered impressive results in word
fo...
A broad goal in natural language processing (NLP) is to develop a system...
In this paper, we describe the findings of the SIGMORPHON 2020 shared ta...
The transformer has been shown to outperform recurrent neural network-ba...
The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual...
The Universal Morphology UniMorph project is a collaborative effort to
i...
The CoNLL--SIGMORPHON 2018 shared task on supervised learning of
morphol...
The Universal Dependencies (UD) and Universal Morphology (UniMorph) proj...
We quantify the linguistic complexity of different languages' morphologi...
Many languages' inflectional morphological systems are replete with
irre...
Automatic analysis of poetic rhythm is a challenging task that involves
...
The CoNLL-SIGMORPHON 2017 shared task on supervised morphological genera...