Neural models have revolutionized the field of machine translation, but
...
With a growing focus on morphological inflection systems for languages w...
The Universal Morphology (UniMorph) project is a collaborative effort
pr...
Recent progress in NLP is driven by pretrained models leveraging massive...
Automatic morphological processing can aid downstream natural language
p...
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...
A range of studies have concluded that neural word prediction models can...
We investigate the problem of searching for a lexeme-set in speech by
se...
The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual...
The CoNLL--SIGMORPHON 2018 shared task on supervised learning of
morphol...
Many character-level tasks can be framed as sequence-to-sequence
transdu...