Data scarcity is a crucial issue for the development of highly multiling...
We examine whether large neural language models, trained on very large
c...
Ad hoc abbreviations are commonly found in informal communication channe...
This paper describes the Dakshina dataset, a new resource consisting of ...
A broad goal in natural language processing (NLP) is to develop a system...
Research in natural language processing commonly assumes that approaches...
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...
Can advances in NLP help advance cognitive modeling? We examine the role...
We quantify the linguistic complexity of different languages' morphologi...
Lexical ambiguity makes it difficult to compute various useful statistic...
Many languages' inflectional morphological systems are replete with
irre...
The generation of complex derived word forms has been an overlooked prob...
The CoNLL-SIGMORPHON 2017 shared task on supervised morphological genera...