You might find it useful to do some background reading on SMT:
http://homepages.inf.ed.ac.uk/alopez/papers/survey.pdf

The paper includes a section on alignment and its relationship to SMT (as
well as a little bit about EM); it's light on algorithms, but has references
to all of the papers that describe them in detail.

There are many word alignment packages available.  Here are a couple of
well-known ones:
http://code.google.com/p/giza-pp/
http://code.google.com/p/berkeleyaligner/

The first is used by Moses by default (although it can easily be replaced by
something else).  Please refer to their papers and source code for details.

Adam

On Tue, Feb 24, 2009 at 6:18 AM, Yoga Raj Joshi <[email protected]> wrote:

>  Dear all,
> I am doing the thesis on word alignment on English-Nepali corpus for SMT,
> but in alignment I am so confused about how the word alignment can help on
> Statistical Machine Translation.
> Another thing is in Hidden Markov model for word alignment, what the
> probability P(ai|Ai-1) is  mean for?  i.e. I cannot understand the effect
> of previous alignment  on next alignment. How the alignment probability
> depends on previous alignment? And I can not realy understand the expanstion
> of the Alignment probability in HMM, what the jump width is meant for? could
> you please describe it in detail.
>
> How I can get the actual algorithms of word alignment, please mention the
> sites related to it and if you people have the pseudo code or Java code
> please provide me.
>
> And I am confused on the EM algorithm and Viterbi algorithm. please
> describe about it also.
> where can I get the information about the Moses alignment? How the
> alignment is done in Moses.
>
> please try to give me a detail information about it?
>
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