Hi,
it was not the main topic of the paper, but in
Log-linear weight optimisation via Bayesian adaptation in statistical
machine translation. Germán Sanchis-Trilles, Francisco Casacuberta.
CoLing 2010. http://www.aclweb.org/anthology/C/C10/C10-2124.pdf
I published some stability results for MERT. In addition, there is also
this paper
Better Hypothesis Testing for Statistical Machine Translation: Controlling
for Optimizer Instability. J.H. Clark, C. Dyer, A. Lavie, N.A. Smith.
ACL-HLT 2011. www.aclweb.org/anthology/P11-2031.pdf
where an analysis of different optimizer strategies is performed, in terms
of stability.
Cheers,
Germán
On Mon, 22 Apr 2013, Prasanth K wrote:
Hi,
There is a work by Marco Turchi, where they look at evolution of BLEU with
respect to
increasing data set size used for MERT. The investigation is primarily for
Spanish-English language pair, so the inferences might not be scalable when
considering
for a challenging language pair.
The draft of the paper was titled "Learning to Translate: a statistical and
computational analysis", but I believe he has published this last year in AAAI
(the
results you are interested in have been listed in the Appendix of that draft).
- Prasanth
On Mon, Apr 22, 2013 at 7:26 PM, Sara Stymne <sara.sty...@lingfil.uu.se> wrote:
HI,
Does anyone know of any published results which invesitage the effect of
the size of the tuning data set. I'm primarily interested in relation to
Mert, but other optimization methods would also be interesting,
Best,
Sara
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