the java client was actually done by Marwen AZOUZI
1. there's some notes about incremental training here
http://www.statmt.org/moses/?n=Moses.AdvancedFeatures#ntoc29
however, i think it's still quite difficult to set up.
2. You can use multiple phrase tables during decoding. It's not
controlled by XML-RPC. You need to train and tune the models.
3. That's part of XML-RPC. See the Java client for how to set this up.
if you're creating a workflow, i suggest you integrate the experiment
management system into your workflow.
On 04/07/2012 01:26, Tom Hoar wrote:
Gautham,
The file mosesdecoder/contrib/server/SampleClient.java is a sample
Java XML-RPC clients by Hieu.
Tom
On Tue, 3 Jul 2012 14:34:40 -0700, Gautham N <[email protected]>
wrote:
*Hi,
We're actually looking to integrate Moses into our localization workflow.
Our application is in Java and we're looking at using Moses'
functionalities using xml-rpc calls.
Specifically, we're looking at APIs for:
1. Incremental training (i.e. Avoid having to retrain the model
from scratch every time we wish to use some new training data)
2. Domain-specific training (i.e. It should maintain separate
phrase tables for each domain that the input data belongs),
3. Decoding
The tutorial says that these can be achieved via xml-rpc calls.
But, I don't find any examples or clear ways to do them.
Can someone please provide some examples?
Also, I would like to know if the training and decoding phases can be
done in a
distributed manner. *
*
*
*
*
*Thanks!*
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