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Computational Linguistics and Intelligent Text Processing

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Cover of 'Computational Linguistics and Intelligent Text Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Adam Kilgarriff’s Legacy to Computational Linguistics and Beyond
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    Chapter 2 A Roadmap Towards Machine Intelligence
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    Chapter 3 Algebraic Specification for Interoperability Between Data Formats: Application on Arabic Lexical Data
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    Chapter 4 Persianp: A Persian Text Processing Toolbox
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    Chapter 5 Generating Bags of Words from the Sums of Their Word Embeddings
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    Chapter 6 New Word Analogy Corpus for Exploring Embeddings of Czech Words
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    Chapter 7 Using Embedding Models for Lexical Categorization in Morphologically Rich Languages
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    Chapter 8 A New Language Model Based on Possibility Theory
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    Chapter 9 Combining Discrete and Neural Features for Sequence Labeling
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    Chapter 10 New Recurrent Neural Network Variants for Sequence Labeling
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    Chapter 11 Mining the Web for Collocations: IR Models of Term Associations
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    Chapter 12 A Continuum-Based Model of Lexical Acquisition
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    Chapter 13 Description of Turkish Paraphrase Corpus Structure and Generation Method
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    Chapter 14 Extracting Terminological Relationships from Historical Patterns of Social Media Terms
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    Chapter 15 Adaptation of Cross-Lingual Transfer Methods for the Building of Medical Terminology in Ukrainian
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    Chapter 16 Adaptation of a Term Extractor to Arabic Specialised Texts: First Experiments and Limits
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    Chapter 17 Corpus Frequency and Affix Ordering in Turkish
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    Chapter 18 Pluralising Nouns in isiZulu and Related Languages
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    Chapter 19 Morphological Analysis of Urdu Verbs
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    Chapter 20 Stemming and Segmentation for Classical Tibetan
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    Chapter 21 Part of Speech Tagging for Polish: State of the Art and Future Perspectives
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    Chapter 22 Turkish PoS Tagging by Reducing Sparsity with Morpheme Tags in Small Datasets
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    Chapter 23 Part-of-Speech Tagging for Code Mixed English-Telugu Social Media Data
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    Chapter 24 Analysis of Word Order in Multiple Treebanks
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    Chapter 25 A Framework for Language Resource Construction and Syntactic Analysis: Case of Arabic
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    Chapter 26 Enhancing Neural Network Based Dependency Parsing Using Morphological Information for Hindi
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    Chapter 27 Construction Grammar Based Annotation Framework for Parsing Tamil
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    Chapter 28 Comparative Error Analysis of Parser Outputs on Telugu Dependency Treebank
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    Chapter 29 Gut, Besser, Chunker – Selecting the Best Models for Text Chunking with Voting
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    Chapter 30 A Deep Learning Solution to Named Entity Recognition
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    Chapter 31 Deep Learning Approach for Arabic Named Entity Recognition
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    Chapter 32 Hybrid Feature Selection Approach for Arabic Named Entity Recognition
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    Chapter 33 Named-Entity-Recognition (NER) for Tamil Language Using Margin-Infused Relaxed Algorithm (MIRA)
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    Chapter 34 Word Sense Disambiguation Using Swarm Intelligence: A Bee Colony Optimization Approach
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    Chapter 35 Verb Sense Annotation for Turkish PropBank via Crowdsourcing
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    Chapter 36 Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR
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    Chapter 37 Arabic Anaphora Resolution Using Markov Decision Process
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    Chapter 38 Arabic Pronominal Anaphora Resolution Based on New Set of Features
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    Chapter 39 GpSense: A GPU-Friendly Method for Commonsense Subgraph Matching in Massively Parallel Architectures
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    Chapter 40 Parameters Driving Effectiveness of LSA on Topic Segmentation
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    Chapter 41 A New Russian Paraphrase Corpus. Paraphrase Identification and Classification Based on Different Prediction Models
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    Chapter 42 Constructing a Turkish Corpus for Paraphrase Identification and Semantic Similarity
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    Chapter 43 Evaluation of Semantic Relatedness Measures for Turkish Language
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    Chapter 44 Using Sentence Semantic Similarity to Improve LMF Standardized Arabic Dictionary Quality
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    Chapter 45 Multiword Expressions (MWE) for Mizo Language: Literature Survey
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    Chapter 46 Classification of Textual Genres Using Discourse Information
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    Chapter 47 Features for Discourse-New Referent Detection in Russian
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    Chapter 48 A Karaka Dependency Based Dialog Act Tagging for Telugu Using Combination of LMs and HMM
Overall attention for this book and its chapters
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Title
Computational Linguistics and Intelligent Text Processing
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-75477-2
ISBNs
978-3-31-975476-5, 978-3-31-975477-2
Editors

Alexander Gelbukh

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 1 13%
Professor > Associate Professor 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Computer Science 3 38%
Social Sciences 1 13%
Unknown 4 50%