Lemmatization is a central task in many NLP applications. Despite this importance, the
number of (freely) available and easy to use tools for German is very limited. To fill this gap …

Morphology is the study of the relationship between form and meaning. The study of
morphology involves understanding the rules and processes that underlie word formation …

Reduplication is a cross-linguistically common and productive word-formation mechanism.
However, there are little to no learning results concerning it. This is partly due to the high …

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 …

Abstract The Discriminative Lexicon is a theory of the mental lexicon that brings together
insights from various other theories: words are the relevant cognitive units in morphology …

Computational morphology handles the language processing at the word level. It is one of
the foundational tasks in the NLP pipeline for the development of higher level NLP …

Many patterns found in natural language syntax have multiple possible explanations or
structural descriptions. Even within the currently dominant Minimalist theoretical framework …

Any attempt to integrate NLP systems to the study of endangered languages must take into
consideration traditional approaches by both NLP and linguistics. This paper tests different …

Morphological analysis is an important research issue in the field of natural language
processing. In this study, we propose a context-free morphological analysis task, namely …

At least 40% of the world's 7000+ languages are believed to be in danger of disappearing
from human use by the end of this century. Many languages will disappear with almost no …