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Erschienen in:
Turkish and Its Challenges for Language and Speech Processing Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

3. Morphological Disambiguation for Turkish

verfasst von : Dilek Zeynep Hakkani-Tür, Murat Saraçlar, Gökhan Tür, Kemal Oflazer, Deniz Yuret

Erschienen in: Turkish Natural Language Processing

Verlag: Springer International Publishing

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Abstract

Morphological disambiguation is the task of determining the contextually correct morphological parses of tokens in a sentence. A morphological disambiguator takes in a set of morphological parses for each token, generated by a morphological analyzer, and then selects a morphological parse for each, considering statistical and/or linguistic contextual information. This task can be seen as a generalization of the part-of-speech (POS) tagging problem, for morphologically rich languages. The disambiguated morphological analysis is usually crucial for further processing steps such as dependency parsing. In this chapter, we review the morphological disambiguation problem for Turkish and discuss approaches for solving this problem as they have evolved from manually crafted constraint-based rule systems to systems employing machine learning.

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Vorheriges Kapitel Morphological Processing for Turkish
Nächstes Kapitel Language Modeling for Turkish Text and Speech Processing
Fußnoten
1
See Chap. 2 for many additional examples of morphological ambiguity.
 
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Metadaten
Titel
Morphological Disambiguation for Turkish
verfasst von
Dilek Zeynep Hakkani-Tür
Murat Saraçlar
Gökhan Tür
Kemal Oflazer
Deniz Yuret
Copyright-Jahr
2018
Buch
Turkish Natural Language Processing

Print ISBN: 978-3-319-90163-3

Electronic ISBN: 978-3-319-90165-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-90165-7_3

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