Abstract The 2016 SIGMORPHON Shared Task was devoted to the problem of
morphological reinflection. It introduced morphological datasets for 10 languages with …

This paper presents the submission of the Linguistics Department of the University of
Colorado at Boulder for the 2017 CoNLL-SIGMORPHON Shared Task on Universal …

Labeled sequence transduction is a task of transforming one sequence into another
sequence that satisfies desiderata specified by a set of labels. In this paper we propose multi …

Introducing negative items into sentences can shift the polarity of emotional words and leads
to misclassification. Therefore, dealing with the negative item is indispensable to the …

One of the benefits of recognizing a slang, an id-iom or an abbreviation in a tweet is the
ability to help in finding certain sentiment in a concise and understandable manner …

Neural network approaches have been applied to computational morphology with great
success, improving the performance of most tasks by a large margin and providing new …

We present a semi-supervised way of training a character-based encoder-decoder recurrent
neural network for morphological reinflection, the task of generating one inflected word form …

Cognate Projection for Low-Resource Inflection Generation Page 1 Proceedings of the 16th
Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 6–11 …

The present paper evaluates the learning behaviour of a transformer-based neural network
with regard to an irregular inflectional paradigm. We apply the paradigm cell filling problem …

We investigate how abstract processes like suffixation can be learned from morphological
inflection task data using an analogical memory-based framework. In this framework, the …