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date: 23 November 2017

Abstract and Keywords

Morphology is the study of the structure of words and how words are forme3d by combining smaller units of linguistic information called morphemes. Any natural language processing application will need to computationally process the words in a language before any of the more complex processing is done. This is especially a must for morphologically complex languages. After a compact overview of the basic concepts in morphology, this chapter presents the state-of-the-art computational approaches to morphology, concentrating on two-level morphology and cascaded-rules and describing how morphographemics and morphotactics are handled in a finite-state setting. The chapter then summarizes recent approaches to how machine learning techniques are applied in morphological processing.

Keywords: morphology, computational morphology, morphemes, finite-state morphology, two-level morphology

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