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Supplementary material for the WMT 2018 publication: Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation

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ABOUT

This repository contains supplementary material for the publication:

Antonio Toral, Sheila Castilho, Ke Hu and Andy Way. 2018. Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation. WMT.

CONTENTS

  • export_appraise/ export of judgements from Appraise, and derived rankings, clusters and inter annotator agreement

    • export_appraise.sh script that runs all the steps
    • export/ judgements exported from Appraise in csv format for all the 49 documents
    • clusters/ resulting clusters
    • plot_cis.ods calculations and plot of Trueskill's confidence intervals
    • wmt-trueskill/ third-party code to calculate rankings and clusters
    • compute_agreement_scores.py third-party code to calculate IAA
  • import_appraise/

    • xml/ 1 file in Appraise XML input format for each of the 169 documents from the WMT2017 data for the Chinese-English language pair. The order of the documents is randomised. Each document contains as metadata its original document identifier (e.g. sina0812.news.doc-ifxuxhas1768823) and the original language in which the document was written (en|zh)
    • plain/ 5 plain text files per document: source (sl), human translation (tl), Microsoft's output (c6) and Google's output (gg)
  • regression/ R noteboook with a step-by-step regression analysis. We augment Microsoft's data with several additional predictors: sentence length, original language of the source text and document identifier.

  • ttr/ type-token ratio calculations

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Supplementary material for the WMT 2018 publication: Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation

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