Reproduction, replication, analysis and adaptation of a term alignment approach.

In this paper, we look at the issue of reproducibility and replicability in bilingual terminology alignment (BTA). We propose a set of best practices for reproducibility and replicability of NLP papers and analyze several influential BTA papers from this perspective. Next, we present our attempts at...

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Publicado en:Language Resources & Evaluation Vol. 54; no. 3; pp. 767 - 801
Autores principales: Repar, Andraž, Martinc, Matej, Pollak, Senja
Formato: Artículo
Publicado: Springer Nature Sep2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Reproduction, replication, analysis and adaptation of a term alignment approach.
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          Repar, Andraž
          Martinc, Matej
          Pollak, Senja
        affil:
          Jožef Stefan Postgraduate School, Ljubljana, Slovenia
          Jožef Stefan Institute, Ljubljana, Slovenia
          Usher institute, Medical school, University of Edinburgh, Edinburgh, UK
      su:
        Computational linguistics
        Sequence alignment
        Reproduction
        Meeting minutes
        Terms & phrases
        Best practices
        Annual meetings
      sug:
        subj:
          Computational linguistics
          Sequence alignment
          Reproduction
          Meeting minutes
          Terms & phrases
          Best practices
          Annual meetings
      keyword:
        Bilingual term alignment
        Cognates
        Machine learning
        Reproducibility
      ab: In this paper, we look at the issue of reproducibility and replicability in bilingual terminology alignment (BTA). We propose a set of best practices for reproducibility and replicability of NLP papers and analyze several influential BTA papers from this perspective. Next, we present our attempts at replication and reproduction, where we focus on a bilingual terminology alignment approach described by Aker et al. (Extracting bilingual terminologies from comparable corpora. In: Proceedings of the 51st annual meeting of the association for computational linguistics, vol. 1 402–411, 2013) who treat bilingual term alignment as a binary classification problem and train an SVM classifier on various dictionary and cognate-based features. Despite closely following the original paper with only minor deviations—in areas where the original description is not clear enough—we obtained significantly worse results than the authors of the original paper. We then analyze the reasons for the discrepancy and describe our attempts at adaptation of the approach to improve the results. Only after several adaptations, we achieve results which are close to the results published in the original paper. Finally, we perform the experiments to verify the replicability and reproducibility of our own code. We publish our code and datasets online to assure the reproducibility of the results of our experiments and implement the selected BTA models in an online platform making them easily reusable even by the technically less-skilled researchers.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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      custom: Language Resources & Evaluation is a copyright of Springer, 2020. All Rights Reserved.
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