↓ Skip to main content

Human Language Technology. Challenges for Computer Science and Linguistics

Overview of attention for book
Cover of 'Human Language Technology. Challenges for Computer Science and Linguistics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Data-Driven Approaches to Objective Evaluation of Phoneme Alignment Systems
  3. Altmetric Badge
    Chapter 2 Phonetically Transcribed Speech Corpus Designed for Context Based European Portuguese TTS
  4. Altmetric Badge
    Chapter 3 Robust Speech Recognition in the Car Environment
  5. Altmetric Badge
    Chapter 4 Human Language Technology. Challenges for Computer Science and Linguistics
  6. Altmetric Badge
    Chapter 5 Automatic Identification of Phonetic Similarity Based on Underspecification
  7. Altmetric Badge
    Chapter 6 Error Detection in Broadcast News ASR Using Markov Chains
  8. Altmetric Badge
    Chapter 7 Pronunciation and Writing Variants in an Under-Resourced Language: The Case of Luxembourgish Mobile N-Deletion
  9. Altmetric Badge
    Chapter 8 Morpheme-Based and Factored Language Modeling for Amharic Speech Recognition
  10. Altmetric Badge
    Chapter 9 The Corpus Analysis Toolkit - Analysing Multilevel Annotations
  11. Altmetric Badge
    Chapter 10 Time Durations of Phonemes in Polish Language for Speech and Speaker Recognition
  12. Altmetric Badge
    Chapter 11 Polysemous Verb Classification Using Subcategorization Acquisition and Graph-Based Clustering
  13. Altmetric Badge
    Chapter 12 Estimating the Proximity between Languages by Their Commonality in Vocabulary Structures
  14. Altmetric Badge
    Chapter 13 Toposław – A Lexicographic Framework for Multi-word Units
  15. Altmetric Badge
    Chapter 14 Parsing CFGs and PCFGs with a Chomsky-Schützenberger Representation
  16. Altmetric Badge
    Chapter 15 Syntactic Analysis Using Finite Patterns: A New Parsing System for Czech
  17. Altmetric Badge
    Chapter 16 Using SRX Standard for Sentence Segmentation
  18. Altmetric Badge
    Chapter 17 Using Lexicon-Grammar Tables for French Verbs in a Large-Coverage Parser
  19. Altmetric Badge
    Chapter 18 Effect of Overt Pronoun Resolution in Topic Tracking
  20. Altmetric Badge
    Chapter 19 Sentiment Intensity: Is It a Good Summary Indicator?
  21. Altmetric Badge
    Chapter 20 Syntactic Tree Kernels for Event-Time Temporal Relation Learning
  22. Altmetric Badge
    Chapter 21 The WSD Development Environment
  23. Altmetric Badge
    Chapter 22 Semantic Analyzer in the Thetos-3 System
  24. Altmetric Badge
    Chapter 23 Unsupervised and Open Ontology-Based Semantic Analysis
  25. Altmetric Badge
    Chapter 24 Non Compositional Semantics Using Rewriting
  26. Altmetric Badge
    Chapter 25 Defining Specialized Entailment Engines Using Natural Logic Relations
  27. Altmetric Badge
    Chapter 26 Czech Senior COMPANION: Wizard of Oz Data Collection and Expressive Speech Corpus Recording and Annotation
  28. Altmetric Badge
    Chapter 27 Abstractive Summarization of Voice Communications
  29. Altmetric Badge
    Chapter 28 Natural Language Based Communication between Human Users and the Emergency Center: POLINT-112-SMS
  30. Altmetric Badge
    Chapter 29 Dialogue Organization in Polint-112-SMS
  31. Altmetric Badge
    Chapter 30 Valuable Language Resources and Applications Supporting the Use of Basque
  32. Altmetric Badge
    Chapter 31 Clues to Compare Languages for Morphosyntactic Analysis: A Study Run on Parallel Corpora and Morphosyntactic Lexicons
  33. Altmetric Badge
    Chapter 32 Corpus Clouds - Facilitating Text Analysis by Means of Visualizations
  34. Altmetric Badge
    Chapter 33 Acquiring Bilingual Lexica from Keyword Listings
  35. Altmetric Badge
    Chapter 34 Annotating Sanskrit Corpus: Adapting IL-POSTS
  36. Altmetric Badge
    Chapter 35 Effective Authoring Procedure for E-learning Courses’ Development in Philological Curriculum Based on LOs Ideology
  37. Altmetric Badge
    Chapter 36 Acquisition of Spatial Relations from an Experimental Corpus
  38. Altmetric Badge
    Chapter 37 Which XML Standards for Multilevel Corpus Annotation?
  39. Altmetric Badge
    Chapter 38 Corpus Academicum Lithuanicum: Design Criteria, Methodology, Application
  40. Altmetric Badge
    Chapter 39 The EM-Based Wordnet Synsets Annotation of NP/PP Heads
  41. Altmetric Badge
    Chapter 40 Unsupervised Word Sense Disambiguation with Lexical Chains and Graph-Based Context Formalization
  42. Altmetric Badge
    Chapter 41 An Access Layer to PolNet – Polish WordNet
  43. Altmetric Badge
    Chapter 42 OTTO: A Tool for Diplomatic Transcription of Historical Texts
  44. Altmetric Badge
    Chapter 43 Automatic Author Attribution for Short Text Documents
  45. Altmetric Badge
    Chapter 44 BioExcom: Detection and Categorization of Speculative Sentences in Biomedical Literature
  46. Altmetric Badge
    Chapter 45 Experimenting with Automatic Text Summarisation for Arabic
  47. Altmetric Badge
    Chapter 46 Enhancing opinion extraction by automatically annotated lexical resources (Extended version)
  48. Altmetric Badge
    Chapter 47 Technical Trend Analysis by Analyzing Research Papers’ Titles
  49. Altmetric Badge
    Chapter 48 Extracting and Visualizing Quotations from News Wires
  50. Altmetric Badge
    Chapter 49 Using Wikipedia to Improve Precision of Contextual Advertising
  51. Altmetric Badge
    Chapter 50 Human Language Technology. Challenges for Computer Science and Linguistics
  52. Altmetric Badge
    Chapter 51 Automatic Evaluation of Texts by Using Paraphrases
  53. Altmetric Badge
    Chapter 52 Packing It All Up in Search for a Language Independent MT Quality Measure Tool – Part Two
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
72 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Human Language Technology. Challenges for Computer Science and Linguistics
Published by
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-20095-3
ISBNs
978-3-64-220094-6, 978-3-64-220095-3
Authors

Zygmunt Vetulani

Editors

Vetulani, Zygmunt, Vetulani, Zygmunt

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
France 1 1%
Ireland 1 1%
Australia 1 1%
India 1 1%
United States 1 1%
Unknown 65 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Student > Master 11 15%
Researcher 10 14%
Student > Bachelor 7 10%
Student > Doctoral Student 4 6%
Other 14 19%
Unknown 10 14%
Readers by discipline Count As %
Computer Science 33 46%
Linguistics 18 25%
Philosophy 2 3%
Social Sciences 2 3%
Engineering 2 3%
Other 5 7%
Unknown 10 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 June 2019.
All research outputs
#20,567,353
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#6,045
of 8,229 outputs
Outputs of similar age
#175,330
of 197,219 outputs
Outputs of similar age from Lecture notes in computer science
#227
of 318 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 25th percentile – i.e., 25% 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 197,219 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.