We propose Seq2Edits, an open-vocabulary approach to sequence editing for natural
language processing (NLP) tasks with a high degree of overlap between input and output …

Inflectional morphology has since long been a useful testing ground for broader questions
about generalisation in language and the viability of neural network models as cognitive …

While the use of character models has been popular in NLP applications, it has not been
explored much in the context of psycholinguistic modeling. This paper presents a character …

Automatic morphological processing can aid downstream natural language processing
applications, especially for low-resource languages, and assist language documentation …

Morphological inflection is a popular task in sub-word NLP with both practical and cognitive
applications. For years now, state-of-the-art systems have reported high, but also highly …

This paper presents VeLeRo, an inflected lexicon of Standard Romanian which contains the
full paradigm of 7297 verbs in phonological form. We explain the process by which the …

This work treats the paradigm discovery problem (PDP), the task of learning an inflectional
morphological system from unannotated sentences. We formalize the PDP and develop …

In historical linguistics, cognates are words that descend in direct line from a common
ancestor, called their proto-form, and therefore are representative of their respective …

This paper demonstrates that morphological change tends to involve the replacement of low
frequency forms in inflectional paradigms by innovative forms based on high frequency …

This paper studies the inflectional complexity of nouns, verbs and adjectives in 137 datasets,
across 71 languages. I follow Ackerman and Malouf (2013) in distinguishing between E …