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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
  2. Altmetric Badge
    Chapter 1 Has Computational Linguistics Become More Applied?
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    Chapter 2 Opportunities for Natural Language Processing Research in Education
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    Chapter 3 Information Structure in a Formal Framework
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    Chapter 4 A Karaka Based Annotation Scheme for English
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    Chapter 5 Substring Statistics
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    Chapter 6 Evaluation of the Syntactic Annotation in EPEC, the Reference Corpus for the Processing of Basque
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    Chapter 7 Reducing Noise in Labels and Features for a Real World Dataset: Application of NLP Corpus Annotation Methods
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    Chapter 8 Unsupervised Classification of Verb Noun Multi-Word Expression Tokens
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    Chapter 9 Semantic Mapping for Related Term Identification
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    Chapter 10 An Improved Automatic Term Recognition Method for Spanish
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    Chapter 11 Bootstrapping a Verb Lexicon for Biomedical Information Extraction
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    Chapter 12 TermeX : A Tool for Collocation Extraction
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    Chapter 13 Guessers for Finite-State Transducer Lexicons
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    Chapter 14 Combining Language Modeling and Discriminative Classification for Word Segmentation
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    Chapter 15 Formal Grammar for Hispanic Named Entities Analysis
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    Chapter 16 Automatic Extraction of Clause Relationships from a Treebank
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    Chapter 17 A General Method for Transforming Standard Parsers into Error-Repair Parsers
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    Chapter 18 Topic-Focus Articulation from the Semantic Point of View
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    Chapter 19 The Value of Weights in Automatically Generated Text Structures
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    Chapter 20 AORTE for Recognizing Textual Entailment
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    Chapter 21 Semi-supervised Word Sense Disambiguation Using the Web as Corpus
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    Chapter 22 Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
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    Chapter 23 Alleviating the Problem of Wrong Coreferences in Web Person Search
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    Chapter 24 Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping
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    Chapter 25 Enriching Statistical Translation Models Using a Domain-Independent Multilingual Lexical Knowledge Base
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    Chapter 26 Exploiting Parallel Treebanks to Improve Phrase-Based Statistical Machine Translation
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    Chapter 27 Cross-Language Frame Semantics Transfer in Bilingual Corpora
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    Chapter 28 A Parallel Corpus Labeled Using Open and Restricted Domain Ontologies
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    Chapter 29 Language Identification on the Web: Extending the Dictionary Method
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    Chapter 30 Business Specific Online Information Extraction from German Websites
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    Chapter 31 Low-Cost Supervision for Multiple-Source Attribute Extraction
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    Chapter 32 An Integrated Architecture for Processing Business Documents in Turkish
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    Chapter 33 Detecting Protein-Protein Interactions in Biomedical Texts Using a Parser and Linguistic Resources
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    Chapter 34 Learning to Learn Biological Relations from a Small Training Set
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    Chapter 35 Using a Bigram Event Model to Predict Causal Potential
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    Chapter 36 Semantic-Based Temporal Text-Rule Mining
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    Chapter 37 Generating Executable Scenarios from Natural Language
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    Chapter 38 Determining the Polarity and Source of Opinions Expressed in Political Debates
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    Chapter 39 Query Translation and Expansion for Searching Normal and OCR-Degraded Arabic Text
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    Chapter 40 NLP for Shallow Question Answering of Legal Documents Using Graphs
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    Chapter 41 Semantic Clustering for a Functional Text Classification Task
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    Chapter 42 Reducing the Plagiarism Detection Search Space on the Basis of the Kullback-Leibler Distance
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    Chapter 43 Empirical Paraphrasing of Modern Greek Text in Two Phases: An Application to Steganography
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    Chapter 44 BorderFlow: A Local Graph Clustering Algorithm for Natural Language Processing
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    Chapter 45 Generalized Mongue-Elkan Method for Approximate Text String Comparison
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    Chapter 46 Estimating Risk of Picking a Sentence for Document Summarization
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    Chapter 47 The Decomposition of Human-Written Book Summaries
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    Chapter 48 Linguistic Ethnography: Identifying Dominant Word Classes in Text
Attention for Chapter 39: Query Translation and Expansion for Searching Normal and OCR-Degraded Arabic Text
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Chapter title
Query Translation and Expansion for Searching Normal and OCR-Degraded Arabic Text
Chapter number 39
Book title
Computational Linguistics and Intelligent Text Processing
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-642-00382-0_39
Book ISBNs
978-3-64-200381-3, 978-3-64-200382-0
Authors

Tarek Elghazaly, Aly Fahmy

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Other 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%

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