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Computational Linguistics and Intelligent Text Processing

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Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Distributed Database System for Developing Ontological and Lexical Resources in Harmony
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    Chapter 2 Verb Class Discovery from Rich Syntactic Data
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    Chapter 3 Growing TreeLex
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    Chapter 4 Acquisition of Elementary Synonym Relations from Biological Structured Terminology
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    Chapter 5 A Comparison of Co-occurrence and Similarity Measures as Simulations of Context
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    Chapter 6 Various Criteria of Collocation Cohesion in Internet: Comparison of Resolving Power
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    Chapter 7 Why Don’t Romanians Have a Five O’clock Tea, Nor Halloween, But Have a Kind of Valentines Day?
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    Chapter 8 SIGNUM: A Graph Algorithm for Terminology Extraction
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    Chapter 9 Arabic Morphology Parsing Revisited
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    Chapter 10 A Probabilistic Model for Guessing Base Forms of New Words by Analogy
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    Chapter 11 Unsupervised and Knowledge-Free Learning of Compound Splits and Periphrases
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    Chapter 12 German Decompounding in a Difficult Corpus
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    Chapter 13 Clause Boundary Identification Using Conditional Random Fields
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    Chapter 14 Natural Language as the Basis for Meaning Representation and Inference
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    Chapter 15 Layer Structures and Conceptual Hierarchies in Semantic Representations for NLP
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    Chapter 16 Deep Lexical Semantics
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    Chapter 17 On Ontology Based Abduction  for Text Interpretation
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    Chapter 18 Analysis of Joint Inference Strategies for the Semantic Role Labeling of Spanish and Catalan
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    Chapter 19 A Preliminary Study on the Robustness and Generalization of Role Sets for Semantic Role Labeling
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    Chapter 20 XTM: A Robust Temporal Text Processor
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    Chapter 21 What We Are Talking about and What We Are Saying about It
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    Chapter 22 Trusting Politicians’ Words (for Persuasive NLP)
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    Chapter 23 Sense Annotation in the Penn Discourse Treebank
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    Chapter 24 A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
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    Chapter 25 Discovering Word Senses from Text Using Random Indexing
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    Chapter 26 Domain Information for Fine-Grained Person Name Categorization
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    Chapter 27 Language Independent First and Last Name Identification in Person Names
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    Chapter 28 Mixing Statistical and Symbolic Approaches for Chemical Names Recognition
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    Chapter 29 Portuguese Pronoun Resolution: Resources and Evaluation
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    Chapter 30 Semantic and Syntactic Features for Dutch Coreference Resolution
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    Chapter 31 Stat-XFER: A General Search-Based Syntax-Driven Framework for Machine Translation
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    Chapter 32 Statistical Machine Translation into a Morphologically Complex Language
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    Chapter 33 Translation Paraphrases in Phrase-Based Machine Translation
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    Chapter 34 Computational Linguistics and Intelligent Text Processing
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    Chapter 35 Learning Finite State Transducers Using Bilingual Phrases
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    Chapter 36 Learning Spanish-Galician Translation Equivalents Using a Comparable Corpus and a Bilingual Dictionary
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    Chapter 37 Context-Based Sentence Alignment in Parallel Corpora
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    Chapter 38 Bilingual Segmentation for Alignment and Translation
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    Chapter 39 Dynamic Translation Memory: Using Statistical Machine Translation to Improve Translation Memory Fuzzy Matches
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    Chapter 40 Identification of Transliterated Foreign Words in Hebrew Script
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    Chapter 41 Innovative Approach for Engineering NLG Systems: The Content Determination Case Study
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    Chapter 42 Comparison of Different Modeling Units for Language Model Adaptation for Inflected Languages
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    Chapter 43 Word Distribution Analysis for Relevance Ranking and Query Expansion
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    Chapter 44 Hybrid Method for Personalized Search in Scientific Digital Libraries
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    Chapter 45 Alignment-Based Expansion of Textual Database Fields
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    Chapter 46 Detecting Expected Answer Relations through Textual Entailment
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    Chapter 47 Improving Question Answering by Combining Multiple Systems Via Answer Validation
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    Chapter 48 Evaluation of Internal Validity Measures in Short-Text Corpora
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    Chapter 49 Arabic/English Multi-document Summarization with CLASSY—The Past and the Future
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    Chapter 50 Lexical Cohesion Based Topic Modeling for Summarization
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    Chapter 51 Terms Derived from Frequent Sequences for Extractive Text Summarization
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    Chapter 52 Real-Word Spelling Correction with Trigrams: A Reconsideration of the Mays, Damerau, and Mercer Model
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    Chapter 53 Non-interactive OCR Post-correction for Giga-Scale Digitization Projects
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    Chapter 54 Linguistic Support for Revising and Editing
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    Chapter 55 The Role of PP Attachment in Preposition Generation
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    Chapter 56 EFL Learner Reading Time Model for Evaluating Reading Proficiency
Attention for Chapter 52: Real-Word Spelling Correction with Trigrams: A Reconsideration of the Mays, Damerau, and Mercer Model
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Chapter title
Real-Word Spelling Correction with Trigrams: A Reconsideration of the Mays, Damerau, and Mercer Model
Chapter number 52
Book title
Computational Linguistics and Intelligent Text Processing
Published by
Springer, Berlin, Heidelberg, February 2008
DOI 10.1007/978-3-540-78135-6_52
Book ISBNs
978-3-54-078134-9, 978-3-54-078135-6
Authors

Amber Wilcox-O’Hearn, Graeme Hirst, Alexander Budanitsky

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Australia 1 2%
France 1 2%
Austria 1 2%
Netherlands 1 2%
India 1 2%
United Kingdom 1 2%
Russia 1 2%
Japan 1 2%
Other 1 2%
Unknown 50 81%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 24%
Researcher 15 24%
Student > Ph. D. Student 7 11%
Student > Bachelor 6 10%
Student > Doctoral Student 5 8%
Other 12 19%
Unknown 2 3%
Readers by discipline Count As %
Computer Science 52 84%
Linguistics 3 5%
Engineering 2 3%
Environmental Science 1 2%
Arts and Humanities 1 2%
Other 0 0%
Unknown 3 5%