This is my setup that generates target words from stems
input-factors = word
output-factors = word stem suffix
alignment-factors = "word -> word"
translation-factors = "word -> stem"
reordering-factors = "word -> word"
generation-factors = "stem -> word"
decoding-steps = "t0, g0"
you're not likely to get anything useful generating words from brown
clusters - the mapping is just too general
On 28/07/2015 20:46, Marco Damonte wrote:
Hi,
I'm using EMS and factorized translation. For instance, I have this
setting:
input-factors = word
output-factors = word brown50
alignment-factors = "word -> word"
translation-factors = "word -> word+brown50"
generation-factors = "brown50"
reordering-factors = "word -> word"
decoding-steps = "t0"
that is, I have brown clusters as an output factor.
Does someone can point me the proper way to add a generation step to
create the surface word using the cluster factor?
I tried:
generation-factors = "brown50 -> word"
but the experiment crashed durinh tuning
Thanks in advance
Marco
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Hieu Hoang
Researcher
New York University, Abu Dhabi
http://www.hoang.co.uk/hieu
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