Thanks, that's a very useful answer. I figured something similar, but I was curious how come these huge differences between the methods are never reported anywhere. Even in your paper they are just a few percent.

Also, could it be that the default METEOR setting is slighlty overfitting to the WMT ranking task? I have the impression that for systems that have generally higher BLEU scores than WMT systems (beyond 45% BLEU) METEOR seems to flatten out, barely changing values, while BLEU differences are 4-6% absolute. This is not happening for BLEU values around 20-30%, METEOR scales nearly linearly in that range, following BLEU scores quite closely.
Cheers,
Marcin

W dniu 26.11.2014 o 22:31, Michael Denkowski pisze:
Hi Marcin,

Meteor scores can vary widely across tasks due to the training data and goal. The default ranking task tries to replicate WMT rankings, so the absolute scores are not as important as the relative scores between systems. The adequacy task tries to fit Meteor scores to numeric adequacy judgements as linearly as possible. If you're looking to evaluate a system in isolation to see if the translations are "good", you can simulate an adequacy scale with the "adq" task. If you're comparing multiple systems, you should get the most reliable ranking with the default "rank" task, but the absolute scores will be less meaningful.

Best,
Michael

On Wed, Nov 26, 2014 at 9:34 AM, Marcin Junczys-Dowmunt <[email protected] <mailto:[email protected]>> wrote:

    Hi,

    A question concerning METEOR, maybe someone has some experience. I
    am seeing huge differences between values for English with the
    defauly task "ranking" and any other of the tasks (e.g. "adq"). up
    to 30-40 points. Is this normal? In the literature I only ever see
    marginal differences of maybe 1 or 2 per cent but nothing like 35%
    vs. 65%. For the language independent setting is still get a score
    of 55%.

    See for instance:
    http://www.cs.cmu.edu/~alavie/METEOR/pdf/meteor-wmt11.pdf
    <http://www.cs.cmu.edu/%7Ealavie/METEOR/pdf/meteor-wmt11.pdf> for
    the Urdu-English system for much smaller differences between
    "ranking" and "adq". I get the same discrepancies with
    meteor-1.3.jar and meteor-1.5.jar

    Cheers,

    Marcin


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