↓ Skip to main content
What is this page? Embed badge

Systems and Frameworks for Computational Morphology

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Morphology Within the Multi-layered Annotation Scenario of the Prague Dependency Treebank
  3. Altmetric Badge
    Chapter 2 Designing and Comparing G2P-Type Lemmatizers for a Morphology-Rich Language
  4. Altmetric Badge
    Chapter 3 Morphological Disambiguation of Classical Sanskrit
  5. Altmetric Badge
    Chapter 4 Morphological Analysis and Generation for Pali
  6. Altmetric Badge
    Chapter 5 A Universal Feature Schema for Rich Morphological Annotation and Fine-Grained Cross-Lingual Part-of-Speech Tagging
  7. Altmetric Badge
    Chapter 6 Dsolve—Morphological Segmentation for German Using Conditional Random Fields
  8. Altmetric Badge
    Chapter 7 A Multi-purpose Bayesian Model for Word-Based Morphology
  9. Altmetric Badge
    Chapter 8 Using HFST—Helsinki Finite-State Technology for Recognizing Semantic Frames
  10. Altmetric Badge
    Chapter 9 Developing Morpho-SLaWS: An API for the Morphosyntactic Annotation of the Serbian Language
  11. Altmetric Badge
    Chapter 10 Morphological Analysis and Generation of Monolingual and Bilingual Medical Lexicons
  12. Altmetric Badge
    Chapter 11 Grammar Debugging
Attention for Chapter 4: Morphological Analysis and Generation for Pali
Altmetric Badge

Readers on

mendeley
6 Mendeley
Summary
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Morphological Analysis and Generation for Pali
Chapter number 4
Book title
Systems and Frameworks for Computational Morphology
Published by
Springer, Cham, September 2015
DOI 10.1007/978-3-319-23980-4_4
Book ISBNs
978-3-31-923978-1, 978-3-31-923980-4
Authors

David Alfter, Jürgen Knauth

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Researcher 1 17%
Lecturer 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Linguistics 3 50%
Computer Science 1 17%
Unknown 2 33%

This page is provided by Altmetric.