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Systems and Frameworks for Computational Morphology

Overview of attention for book
Cover of 'Systems and Frameworks for Computational Morphology'

Table of Contents

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    Book Overview
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    Chapter 1 Morphology Within the Multi-layered Annotation Scenario of the Prague Dependency Treebank
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    Chapter 2 Designing and Comparing G2P-Type Lemmatizers for a Morphology-Rich Language
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    Chapter 3 Morphological Disambiguation of Classical Sanskrit
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    Chapter 4 Morphological Analysis and Generation for Pali
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    Chapter 5 A Universal Feature Schema for Rich Morphological Annotation and Fine-Grained Cross-Lingual Part-of-Speech Tagging
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    Chapter 6 Dsolve—Morphological Segmentation for German Using Conditional Random Fields
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    Chapter 7 A Multi-purpose Bayesian Model for Word-Based Morphology
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    Chapter 8 Using HFST—Helsinki Finite-State Technology for Recognizing Semantic Frames
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    Chapter 9 Developing Morpho-SLaWS: An API for the Morphosyntactic Annotation of the Serbian Language
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    Chapter 10 Morphological Analysis and Generation of Monolingual and Bilingual Medical Lexicons
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    Chapter 11 Grammar Debugging
Attention for Chapter 6: Dsolve—Morphological Segmentation for German Using Conditional Random Fields
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4 Mendeley
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Chapter title
Dsolve—Morphological Segmentation for German Using Conditional Random Fields
Chapter number 6
Book title
Systems and Frameworks for Computational Morphology
Published by
Springer, Cham, September 2015
DOI 10.1007/978-3-319-23980-4_6
Book ISBNs
978-3-31-923978-1, 978-3-31-923980-4
Authors

Kay-Michael Würzner, Bryan Jurish

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Student > Doctoral Student 1 25%
Student > Master 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Linguistics 1 25%

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