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Human Language Technology Challenges for Computer Science and Linguistics

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Cover of 'Human Language Technology Challenges for Computer Science and Linguistics'

Table of Contents

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    Book Overview
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    Chapter 1 Improved Syllable-Based Text to Speech Synthesis for Tone Language Systems
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    Chapter 2 Slovak Automatic Dictation System for Judicial Domain
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    Chapter 3 The Intonation of Backchannel Tokens in Italian Collaborative Dialogues
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    Chapter 4 Improved Parsing for Arabic by Combining Diverse Dependency Parsers
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    Chapter 5 Parsing Coordination Extragrammatically
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    Chapter 6 Lexical Disambiguation in LTAG Using Left Context
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    Chapter 7 Resolving Anaphors in Sanskrit
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    Chapter 8 Unsupervised Coreference Resolution Using a Graph Labeling Approach
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    Chapter 9 The XCDC Relations as a Spatio-Temporal Ontology
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    Chapter 10 Normalization of Term Weighting Scheme for Sentiment Analysis
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    Chapter 11 Thel, a Language for Utterance Generation in the Thetos System
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    Chapter 12 An Algorithm for Inconsistency Management in Spatial Knowledge Integration
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    Chapter 13 Information Extraction for Czech Based on Syntactic Analysis
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    Chapter 14 Applying Rule-Based Normalization to Different Types of Historical Texts—An Evaluation
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    Chapter 15 A Rule Based Method for the Identification of TAM Features in a PoS Tagged Corpus
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    Chapter 16 Digging for Names in the Mountains: Combined Person Name Recognition and Reference Resolution for German Alpine Texts
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    Chapter 17 Enhancing Labeled Data Using Unlabeled Data for Topic Tracking
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    Chapter 18 Temporal Expression Recognition Using Dependency Trees
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    Chapter 19 Pattern Mining for Named Entity Recognition
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    Chapter 20 Lexical Bundles in Swedish Secondary School Textbooks
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    Chapter 21 Active Learning to Speed-Up the Training Process for Dialogue Act Labelling
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    Chapter 22 Direct and Wordgraph-Based Confidence Measures in Dialogue Annotation with N-Gram Transducers
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    Chapter 23 Orwell’s 1984 —From Simple to Multi-word Units
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    Chapter 24 Application of Audio and Video Processing Methods for Language Research and Documentation: The AVATecH Project
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    Chapter 25 Crowdsourcing for Language Resource Development: Criticisms About Amazon Mechanical Turk Overpowering Use
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    Chapter 26 Extending a Tool Resource Framework with U-Compare
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    Chapter 27 Aligning GermaNet Senses with Wiktionary Sense Definitions
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    Chapter 28 A Tool for Transforming WordNet-Like Databases
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    Chapter 29 KABA Subject Heading Language as the Main Resource Subject Organization Tool in a Semantic Knowledge Base
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    Chapter 30 Enhancing Tagging Systems by Wordnet Based Ontologies
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    Chapter 31 Natural Language Ontology of Action: A Gap with Huge Consequences for Natural Language Understanding and Machine Translation
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    Chapter 32 Classification-Based Extension of Wordnets from Heterogeneous Resources
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    Chapter 33 PolNet – Polish WordNet
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    Chapter 34 Improving the Distribution of N-Grams in Phrase Tables Obtained by the Sampling-Based Method
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    Chapter 35 Marker-Based Chunking in Eleven European Languages for Analogy-Based Translation
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    Chapter 36 Comparing CBMT Approaches for German-Romanian
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    Chapter 37 Text Genre – An Unexplored Parameter in Statistical Machine Translation
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    Chapter 38 Detecting Gaps in Language Resources and Tools in the Project CESAR
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    Chapter 39 A First LVCSR System for Luxembourgish, a Low-Resourced European Language
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    Chapter 40 Developing LRs for Non-scheduled Indian Languages
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    Chapter 41 Quizzes on Tap: Exporting a Test Generation System from One Less-Resourced Language to Another
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    Chapter 42 A Multilingual Text Normalization Approach
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    Chapter 43 Creating Multilingual Parallel Corpora in Indian Languages
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    Chapter 44 Inducing Grammars from IGT
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Title
Human Language Technology Challenges for Computer Science and Linguistics
Published by
Springer, July 2014
DOI 10.1007/978-3-319-08958-4
ISBNs
978-3-31-908958-4, 978-3-31-908957-7, 978-3-31-914120-6
Editors

Vetulani, Zygmunt, Mariani, Joseph

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Unknown 8 80%
Readers by discipline Count As %
Linguistics 1 10%
Engineering 1 10%
Unknown 8 80%

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