Hi,Yang,

Thanks your suggestion. By outputting related anything information with
CubePruning Search step by step, fortunately I finally understood the
effect of BitmapContainer and the implementation of CubePruning. what a
perfect the CubePruning and BitmapContainer.

cheers,
chen

2012/8/13 <[email protected]>

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> Today's Topics:
>
>    1. Re: Who can you give me some explanation about the Class
>       BitmapContainer in details? (Yang Gao)
>    2. Re: help (Barry Haddow)
>    3. Re: Factored decoding performance (Hieu Hoang)
>    4. First Call for Participation: SMS Based FAQ       Retrieval at FIRE
>       2012 (Danish Contractor)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sun, 12 Aug 2012 10:02:22 -0700
> From: Yang Gao <[email protected]>
> Subject: Re: [Moses-support] Who can you give me some explanation
>         about the Class BitmapContainer in details?
> To: MT NLP <[email protected]>
> Cc: [email protected], [email protected]
> Message-ID:
>         <
> ca+o3wvu7j0yrshn1fwne9fw0m-+7adpse7-ncmpybke60zf...@mail.gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
>
> Hi, maybe looking at the methods that call this class can give you an idea?
> If you are confused, it helps to run a toy example and print out something.
>
> cheers,
>
> yang
>
> On Sun, Aug 12, 2012 at 4:15 AM, MT NLP <[email protected]> wrote:
>
> > Hi,all
> >
> > Presently,I read the implemention of CubePruning search algorithm in the
> > Moses,but I confuse on the effect of Class BitmapContainer.
> > Who could you give me some explanation about the Class BitmapContainer in
> > details?
> >
> > chen
> >
> > _______________________________________________
> > Moses-support mailing list
> > [email protected]
> > http://mailman.mit.edu/mailman/listinfo/moses-support
> >
> >
>
>
> --
> Yang Gao (Vivian)
> ----------------------------------------
> Graduate Student, USC/ISI
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> ------------------------------
>
> Message: 2
> Date: Mon, 13 Aug 2012 09:23:53 +0100
> From: Barry Haddow <[email protected]>
> Subject: Re: [Moses-support] help
> To: Mohadeseh Sheikhoveisi <[email protected]>
> Cc: [email protected]
> Message-ID: <[email protected]>
> Content-Type: text/plain; charset=ISO-8859-1; format=flowed
>
> Hi Mohadeseh
>
> You're using a very old version of Moses, so I'd suggest you update to
> the latest github version.
>
> As to the Giza error, does this answer your question?
> http://comments.gmane.org/gmane.comp.nlp.moses.user/7231
>
> cheers - Barry
>
> cheers - Barry
>
> On 12/08/12 09:32, Mohadeseh Sheikhoveisi wrote:
> > Hi,
> > I want to get word-to-word alignment (IBM-Model-1) using giza++ while I
> run
> > "./train-model.perl -scripts-root-dir /opt/tools/scripts-20120707-0326
> > -root-dir /home/msho/Parallel-Corpus/Now/ -corpus
> > /home/msho/Parallel-Corpus/clean/Clean-Corpus -f en -e fa -alignment
> > grow-diag-final-and -reordering msd-bidirectional-fe -lm
> > 0:3:/home/msho/Parallel-Corpus/LM/lm/Data.fa.lm -parallel -giza-option
> > m1=5,m2=0,m3=0,m4=0,mh=0,t1=5,nodumps=0 " I get this error:
> >
> > ERROR: Giza did not produce the output file
> > /home/msho/Parallel-Corpus/New/giza.fa-en/fa-en.A3.final. Is your corpus
> > clean (reasonably-sized sentences)? at ./train-model.perl line 958.
> >
> > how can i get word-to-word alignment?
> > please help me.
> >
> > Best Regards,
> >
> >
> >
> > _______________________________________________
> > Moses-support mailing list
> > [email protected]
> > http://mailman.mit.edu/mailman/listinfo/moses-support
>
>
> --
> The University of Edinburgh is a charitable body, registered in
> Scotland, with registration number SC005336.
>
>
>
> ------------------------------
>
> Message: 3
> Date: Mon, 13 Aug 2012 10:28:52 +0100
> From: Hieu Hoang <[email protected]>
> Subject: Re: [Moses-support] Factored decoding performance
> To: [email protected]
> Message-ID: <[email protected]>
> Content-Type: text/plain; charset="iso-8859-1"
>
> your factor model does looks fairly complicated so I'm not surprised
> that it would be slow. It prob uses a significant amount of memory too.
>
> There's 2 generation steps, where 1 would be sufficient.
>
> On 09/08/2012 10:35, Michal Krajn(ansk? wrote:
> > Hi,
> >
> > I am experimenting with factored training and I've got a question
> > about decoding performance.
> > I experience hangups - probably not real hangups, just too long
> > computation - while decoding some sentences.
> >
> > My models are trained on text annotated in the following way:
> >
> > SURF|LEMM|POS|OTHER
> >
> > Training is done with the following parameters:
> >
> >     --lm 0:3:news-commentary-v7.cs-en.blm.en:8 \
> >     --lm 2:3:pos.blm.en:8 \
> >     --translation-factors 1-1+3-2+0-0,2 \
> >     --generation-factors 1-2+1,2-0 \
> >     --decoding-steps t0,g0,t1,g1:t2
> >
> > I suspect some things that can cause the issue:
> >
> >
> > - the POS tags are in the form of a number: 1-10, when ambiguous, the
> > possibilities are separated by comma, so e.g. POS=
> > 1
> > 3,5
> > 7,0,2,6,1
> >
> > POS tags are more abiguous at the target language side (en), where
> > this is about 1/2 of cases.
> > I see this can cause the sparsity problem but believe this is not a
> > fundamental issue.
> >
> >
> > - sometimes I do not get the values for some factors, so I introduce
> > an universal placeholder '_' which I put in place of unknown factors
> >
> > I imagine this could cause some "sink" problem, in the sense of too
> > common token (this is not really uncommon in my data).
> >
> > I post a sample sentence:
> > the|the|3|Node government|government|1|Gsub in|in,inly|7,2,6,1|Node
> > Washington|Washington|1|Gsub has|have|5|Node published|publish|5|Pred
> > a|a|3|Node prohibition|prohibition|1|Obje to|to|6|Advi
> > that|that|8|Node effect|effect|5,1|Node _-_|_|_|Node
> > thereby|thereby|6|Node definitively|definitively|6|Node
> > scrapping|scrap|5|Node earlier|earlier,early|2,6|Node plans|plan|1|Gsub
> >
> >
> > Could you please point me to the possible problems of this setup?
> >
> > Thanks in advance and regards,
> >
> > Michal Krajn(ansk?
> >
> >
> > _______________________________________________
> > Moses-support mailing list
> > [email protected]
> > http://mailman.mit.edu/mailman/listinfo/moses-support
>
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> ------------------------------
>
> Message: 4
> Date: Mon, 13 Aug 2012 15:05:53 +0530
> From: Danish Contractor <[email protected]>
> Subject: [Moses-support] First Call for Participation: SMS Based FAQ
>         Retrieval at FIRE 2012
> To: [email protected]
> Message-ID:
>         <
> capia5v6slp0blkhdeb8_gjd0p+lyrwg-diqgfjznhsomznx...@mail.gmail.com>
> Content-Type: text/plain; charset="iso-8859-1"
>
>   [Apologies if you receive multiple copies of this call]
>
>
>                      First Call for Participation
>
>
>                      SMS-Based FAQ Retrieval
>       (at Forum for Information Retrieval Evaluation 2012)
>
>                     17 - 19 December 2012
>                Indian Statistical Institute, Kolkata
>
> http://www.isical.ac.in/~fire/faq-retrieval/2012/faq-retrieval.html
>
>
>
> The number of internet users in the world is estimated to be around 2
> Billion.
> India, having nearly 17% of the world population accounts for merely 81
> million users
> (6.9 % of its population). On the other hand, the number of telecom service
> users,
> specifically mobile phone users in India is nearly 10 times larger than
> the number of internet users. The mobile phone is a cheap and
> easy device for communication and is increasingly being used as
> a source of information. It is keeping this fact in mind, that FIRE 2012 is
> continuing the "SMS based FAQ Retrieval" task introduced last year at FIRE.
> (Results from last year's participation can be seen at :
> http://www.isical.ac.in/~fire/faq-retrieval/2011/results.html)
>
> The goal of this task is to find a question Q* from the corpora of FAQs
> (Frequently asked questions) that best answers/matches the SMS query S.
>
> SMS queries which are written in "SMS language" tend to be noisy as
> users try and compress text by omitting letters, using slang, etc., due to
> a cap on the length of messages (160 characters constitutes one SMS), lack
> of screen space (which makes reading large amounts of text difficult), etc.
>
> The messages also frequently contain unintended typographical errors due
> to the small size of keypads on mobile phones as also the poor language
> skills of the users. The presence of such noise makes this task different
> and more challenging than traditional QA retrieval tasks.
>
> The task comprises mono-, cross- and multi-lingual FAQ Retrieval
> sub-tasks.
>
> All participating teams also need to submit a working note that outlines
> the approach followed by them. The Working note is due on November
> 28, 2012. The post-proceedings will be published in Lecture Notes in
> Computer Science (http://www.springer.com/computer/lncs), Springer.
> Authors will be invited to submit a revised and expanded version of
> their working note to be published in the post-proceedings.
>
>
>
> IMPORTANT DATES:
> (http://www.isical.ac.in/~fire/faq-retrieval/2012/dates.html)
> Training data release: Aug 4,2012
> Test data release: Sept 20,2012
> Run Submission:Oct 15,2012
> Qrel Release:Nov 15,2012
> Working Note Due: Nov 28,2012
>
>
>
>
> TASK COORDINATORS:
>
> Danish Contractor, [email protected]
> Ankush Mittal, [email protected]
> Deepak S Padmanabhan, [email protected]
> LV Subramaniam, [email protected]
>
> ******************************
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> *********************************************
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