This is a great list, but I would add Och & Ney (CL 2003), which, in
addition to synthesizing the papers below, contains substantial
discussion and comprehensive experimental results on the benefits of
modeling reordering.
http://aclweb.org/anthology-new/J/J03/J03-1002.pdf


On Sat, Oct 31, 2009 at 7:56 PM, Chris Dyer <[email protected]> wrote:
> Modeling reordering is usually helpful, even during alignment.  This
> is especially true for lexical translation models (where words are
> generated by other words, rather than phrases being generated from
> other phrases).  The reordering models don't have to be particularly
> complicated to achieve quite good results (especially in languages
> that have similar structures, like English and French).  For a fairly
> basic introduction to modeling reordering (or not) in alignment
> models, the Peter Brown et al (1993) paper (the Mathematics of
> Statistical Machine Translation), which describes IBM models 1 and 2
> is a fine place to start.  For further examples that focus just on
> alignment, add the HMM alignment model papers (Vogel et al 1996 and/or
> Och and Ney 1999).
>
> Chris
>
> On Sat, Oct 31, 2009 at 3:35 PM, Mark Fishel <[email protected]> wrote:
>> Dear list members,
>>
>> I have a general theoretical question: if a word alignment model is
>> only used to generate the viterbi alignment of the data for further
>> usage (like it is the case with Moses'es phrase-based translation), is
>> it necessary or at all useful to model reordering/distortion in the
>> word alignment phase? Naturally if a word alignment model is later
>> used for decoding to generate a new output, reordering is crucial; but
>> how about in case of phrase-based translation used by Moses, where
>> even lexicalized reordering is learned based on the symmetrical
>> alignment matrices? Does modelling the reordering make the learning
>> more robust/stable? Are there any experiments or articles dealing with
>> this question?
>>
>> Hope this isn't a troll question :)
>>
>> Mark Fishel
>> Dept. of Computer Science
>> University of Tartu
>> _______________________________________________
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>>
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