Derivational word-formation processes play an important role in the Germanic languages. In particular, prefixation and suffixation are highly productive. In accordance with the so-called right-hand head principle, suffixes tend to determine the morphological category of a word, and are therefore often category-changing (e.g., verb to noun), while prefixes can lead to changes regarding the valency or case government of the items to which they attach. Derivational patterns differ in various aspects, including the degree to which they modify the semantics of their bases and their morphological productivity.
Article
Derivation in Germanic
Stefan Hartmann
Article
Quantitative Methods in Morphology: Corpora and Other “Big Data” Approaches
Marco Marelli
Corpora are an all-important resource in linguistics, as they constitute the primary source for large-scale examples of language usage. This has been even more evident in recent years, with the increasing availability of texts in digital format leading more and more corpus linguistics toward a “big data” approach. As a consequence, the quantitative methods adopted in the field are becoming more sophisticated and various.
When it comes to morphology, corpora represent a primary source of evidence to describe morpheme usage, and in particular how often a particular morphological pattern is attested in a given language. There is hence a tight relation between corpus linguistics and the study of morphology and the lexicon. This relation, however, can be considered bi-directional. On the one hand, corpora are used as a source of evidence to develop metrics and train computational models of morphology: by means of corpus data it is possible to quantitatively characterize morphological notions such as productivity, and corpus data are fed to computational models to capture morphological phenomena at different levels of description. On the other hand, morphology has also been applied as an organization principle to corpora. Annotations of linguistic data often adopt morphological notions as guidelines. The resulting information, either obtained from human annotators or relying on automatic systems, makes corpora easier to analyze and more convenient to use in a number of applications.
