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Article published In: Terminology
Vol. 23:2 (2017) ► pp.207–237

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Automatic extraction of specialized verbal units

A comparative study on Arabic, English and French

 | Université de Montréal
 | Université de Montréal
 | Université de Montréal
 | Université du Québec à Montréal
Published online: 19 January 2018
DOI logo with link
https://doi.org/10.1075/term.00002.gha
Abstract
This paper presents a methodology for the automatic extraction of specialized Arabic, English and French verbs of the field of computing. Since nominal terms are predominant in terminology, our interest is to explore to what extent verbs can also be part of a terminological analysis. Hence, our objective is to verify how an existing extraction tool will perform when it comes to specialized verbs in a given specialized domain. Furthermore, we want to investigate any particularities that a language can represent regarding verbal terms from the automatic extraction perspective. Our choice to operate on three different languages reflects our desire to see whether the chosen tool can perform better on one language compared to the others. Moreover, given that Arabic is a morphologically rich and complex language, we consider investigating the results yielded by the extraction tool. The extractor used for our experiment is TermoStat ( 2003. “Term Extraction Using Non-technical Corpora as a Point of Leverage.” Terminology 9 (1): 99–115. Google Scholar logo with link to Google Scholar). So far, our results show that the extraction of verbs of computing represents certain differences in terms of quality and particularities of these units in this specialized domain between the languages under question.
Article outline
  • 1.Introduction
  • 2.Previous work
  • 3.Methodology
    • 3.1TermoStat: A general overview
    • 3.2Integrating Arabic language to TermoStat
    • 3.3Compiling specialized corpora
    • 3.4Pre-processing
    • 3.5Managing specificity
  • 4.Results
    • 4.1Filtering results
      • 4.1.1Tagging errors
      • 4.1.2General language units
      • 4.1.3Concordance list
    • 4.2Results of filtering
      • For Arabic
      • For English
      • For French
      • 4.2.1Specificity
      • 4.2.2Certain particularities
    • 4.3VTU validation criterion
      • 4.3.1Some particularities regarding validation: English and French
      • 4.3.2Some particularities regarding validation: Arabic
  • 5.Evaluation and discussion
    • 5.1Precision
    • 5.2Comparison between VTUs and NTUs
  • 6.Conclusion
  • Notes
  • References
References (45)
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