Not sure if this is what you want:
http://iwslt2010.fbk.eu/node/58
- John Burger
MITRE
> On May 22, 2016, at 05:04, Cyrine NASRI wrote:
>
> Hello,
>
> I am looking for a BTEC corpus, but cannot find it on IWSLT website.
>
> Can you help me to find it
>
> Thank you
>
> Bests
>
On Jun 17, 2015, at 11:54, Read, James C wrote:
> The question remains why isn't the system capable of finding the most likely
> translations without the LM?
Even if it weren't ill-posed, I don't find this to be an interesting question
at all. This is like trying to improve automobile transmis
mplement it, I'll certainly help out
Unfortunately I don't have funding to work on this right now, but that might
change in the medium term.
- JB
> On 11 February 2013 16:17, Burger, John D. wrote:
> +1 on a way to turn off the automatic insertion of the sentence boundary
&g
+1 on a way to turn off the automatic insertion of the sentence boundary
pseudo-tokens, which was implemented a few years ago. I've requested this in
the past, but the answer then was the same, that this would be complicated by
the rule-based models.
I think this is worth thinking about, thoug
Philipp Koehn wrote:
> if the input is provided as a lattice, then it is not
> the case that all translations have the same number
> of unknown words.
Moreover, the penalty is certainly needed at weight-training time, correct?
Then there are different input sentences with different amounts of O
set of scores, weighted
>> such that the relative proportions of each model are balanced
>>
>> Miles
>>
>> On 20 September 2011 16:07, Burger, John D. wrote:
>>> Taylor Rose wrote:
>>>
>>>> I am looking at pruning phrase tables for the e
Taylor Rose wrote:
> I am looking at pruning phrase tables for the experiment I'm working on.
> I'm not sure if it would be a good idea to include the 'penalty' metric
> when calculating probability. It is my understanding that multiplying 4
> or 5 of the metrics from the phrase table would result
Adam Lopez wrote:
> There were also some experiments during the CLSP workshop that built Moses
> (Fig. 6.8):
> http://www.clsp.jhu.edu/ws2006/groups/ossmt/documents/jhu-summer-workshop-final-report.pdf
>
> Since MERT is only tuning a handful of parameters, it would be somewhat
> surprising if a