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Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy

Overview of attention for book
Cover of 'Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Density-Based Re-ranking Technique for Active Learning for Data Annotations
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    Chapter 2 CRF Models for Tamil Part of Speech Tagging and Chunking
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    Chapter 3 A Probabilistic Graphical Model for Recognizing NP Chunks in Texts
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    Chapter 4 Processing of Korean Natural Language Queries Using Local Grammars
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    Chapter 5 Improving the Performance of a NER System by Post-processing, Context Patterns and Voting
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    Chapter 6 Research on Automatic Chinese Multi-word Term Extraction Based on Term Component
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    Chapter 7 A Novel Method of Automobiles’ Chinese Nickname Recognition
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    Chapter 8 Fast Semantic Role Labeling for Chinese Based on Semantic Chunking
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    Chapter 9 Validity of an Automatic Evaluation of Machine Translation Using a Word-Alignment-Based Classifier
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    Chapter 10 Lexicalized Syntactic Reordering Framework for Word Alignment and Machine Translation
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    Chapter 11 Found in Translation: Conveying Subjectivity of a Lexicon of One Language into Another Using a Bilingual Dictionary and a Link Analysis Algorithm
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    Chapter 12 Transliteration Based Text Input Methods for Telugu
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    Chapter 13 Harvesting Regional Transliteration Variants with Guided Search
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    Chapter 14 A Simple and Efficient Model Pruning Method for Conditional Random Fields
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    Chapter 15 Query-Oriented Summarization Based on Neighborhood Graph Model
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    Chapter 16 An Extractive Text Summarizer Based on Significant Words
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    Chapter 17 Using Proximity in Query Focused Multi-document Extractive Summarization
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    Chapter 18 Learning Similarity Functions in Graph-Based Document Summarization
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    Chapter 19 Extracting Domain-Dependent Semantic Orientations of Latent Variables for Sentiment Classification
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    Chapter 20 Mining Cross-Lingual/Cross-Cultural Differences in Concerns and Opinions in Blogs
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    Chapter 21 Partially Supervised Phrase-Level Sentiment Classification
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    Chapter 22 A Novel Composite Kernel Approach to Chinese Entity Relation Extraction
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    Chapter 23 Automatic Acquisition of Attributes for Ontology Construction
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    Chapter 24 Speech Synthesis for Error Training Models in CALL
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    Chapter 25 Probabilistic Methods for a Japanese Syllable Cipher
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    Chapter 26 Dialogue Strategies to Overcome Speech Recognition Errors in Form-Filling Dialogue
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    Chapter 27 Research on Domain Term Extraction Based on Conditional Random Fields
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    Chapter 28 PKUNEI – A Knowledge–Based Approach for Chinese Product Named Entity Semantic Identification
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    Chapter 29 Experiment Research on Feature Selection and Learning Method in Keyphrase Extraction
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    Chapter 30 Korean-Chinese Machine Translation Using Three-Stage Verb Pattern Matching
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    Chapter 31 Domain Adaptation for English–Korean MT System: From Patent Domain to IT Web News Domain
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    Chapter 32 Constructing Parallel Corpus from Movie Subtitles
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    Chapter 33 Meta-evaluation of Machine Translation Using Parallel Legal Texts
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    Chapter 34 Flattened Syntactical Phrase-Based Translation Model for SMT
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    Chapter 35 An Integrated Approach for Concept Learning and Relation Extraction
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    Chapter 36 Text Editing for Lecture Speech Archiving on the Web
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    Chapter 37 Document Clustering Description Extraction and Its Application
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    Chapter 38 Event-Based Summarization Using Critical Temporal Event Term Chain
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    Chapter 39 Acquiring Verb Subcategorization Frames in Bengali from Corpora
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    Chapter 40 An Investigation of an Interontologia: Comparison of the Thousand-Character Text and Roget’s Thesaurus
Overall attention for this book and its chapters
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Mentioned by

wikipedia
4 Wikipedia pages

Readers on

mendeley
9 Mendeley
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Title
Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Published by
ADS, March 2009
DOI 10.1007/978-3-642-00831-3
ISBNs
978-3-64-200830-6, 978-3-64-200831-3
Editors

Li, Wenjie, Mollá-Aliod, Diego

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 11%
Brazil 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Researcher 2 22%
Student > Doctoral Student 2 22%
Student > Bachelor 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 6 67%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 January 2023.
All research outputs
#7,754,533
of 23,571,271 outputs
Outputs from ADS
#9,525
of 38,201 outputs
Outputs of similar age
#33,413
of 95,128 outputs
Outputs of similar age from ADS
#108
of 415 outputs
Altmetric has tracked 23,571,271 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 38,201 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 95,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 415 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.