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16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings, Part I

"Computational Linguistics and Intelligent Text Processing" was published by Springer in 2015 - Cham, it has 662 pages and the language of the book is English.


“Computational Linguistics and Intelligent Text Processing” Metadata:

  • Title: ➤  Computational Linguistics and Intelligent Text Processing
  • Author:
  • Language: English
  • Number of Pages: 662
  • Publisher: Springer
  • Publish Date:
  • Publish Location: Cham
  • Library of Congress Classification: QA76.9.N38P98-98.5QA

“Computational Linguistics and Intelligent Text Processing” Subjects and Themes:

Edition Specifications:

  • Weight: 10.292

Edition Identifiers:

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"Computational Linguistics and Intelligent Text Processing" Description:

Open Data:

Intro -- Preface -- Organization -- Contents - Part I -- Grammar Formalismsand Lexical Resources -- Towards a Universal Grammar for Natural Language Processing -- 1 Introduction -- 2 Motivation -- 3 Design Principles -- 4 Word Segmentation -- 5 Morphological Annotation -- 6 Syntactic Annotation -- 7 Conclusion -- References -- Deletions and Node Reconstructions in a Dependency-Based Multilevel Annotation Scheme -- 1 Motivation and Specification of Deletions (Ellipsis) -- 2 Treatment of Ellipsis in Some of the Advanced Annotation Schemes for Different Languages -- 3 Ellipsis and Node Reconstruction in the Prague Dependency Treebank -- 3.1 The Prague Dependency Treebank -- 3.2 Deletions in the Representation of the Surface Shape of the Sentence -- 3.3 Reconstructions of Nodes on the Tectogrammatical Level -- 3.4 Some Simple Statistics -- 4 Summary and Outlook -- References -- Enriching, Editing, and Representing Interlinear Glossed Text -- 1 Introduction -- 2 Interlinear Glossed Text -- 2.1 Collecting IGT -- 2.2 Enriching IGT -- 2.3 Using Enriched IGT -- 3 Xigt: An XML Representation of the Enriched IGT -- 3.1 Representing Enriched IGT in Xigt -- 3.2 Processing Documents with the Xigt API -- 4 INTENT: A Package for Creating Enriched IGT -- 4.1 Toolkit Components -- 4.2 Implementation of INTENT -- 5 XigtEdit: A GUI Editor for Enriched IGT -- 5.1 Main Functionality of XigtEdit -- 5.2 Editing Parent Tiers -- 5.3 Implementation of XigtEdit -- 6 Conclusion -- References -- Comparing Neural Lexical Models of a Classic National Corpus and a Web Corpus: The Case for Russian -- 1 Introduction -- 2 Library of Babel vs. Selected Works: The Corpora Used -- 3 Learning Word Embeddings and Choosing Test Sets to Compare -- 4 What's Different: Analysis of Lexical Units' Neighbors in RNC and the Internet Corpus -- 5 Discussion -- 6 Limitations and Future Work

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