Cannot open file???
Does the file exist??
Aee you passing the path properly?

On 00:44, Thu, 20 Nov 2014 Sandipan Dandapat <[email protected]>
wrote:

> Hi,
> I made the changes based on your suggestions, its now generating a
> different error as below:
>
>
> reading vocabulary files
> Reading vocabulary file from:new_corpus/inc.fr.vcb
>
> Cannot open vocabulary file new_corpus/inc.fr.vcbfil
>
> I am attaching the working dir and the .py scripts here with. I have the
> 10 parallel sentences for incremental alignment is in inc_data/ where as
> the original 500 sentences are there in mtdata/ directory
>
> Thanks a ton for your help.
>
> Regards,
> sandipan
>
> On 19 November 2014 15:18, Raj Dabre <[email protected]> wrote:
>
>> Hey,
>>
>> I am pretty sure that my script does not generate duplicate token id.
>>
>> In fact, I used to get the same error till I modified the script.
>>
>> In case you do want to avoid this error and not use my script then:
>>
>> 1. Open the original python script: plain2snt-hasvcb.py
>> 2. There is a line which increments the id counter by 1 ( the line is nid
>> = len(fvcb)+1;)
>> 3. Make this line: nid = len(fvcb)+2; (This is cause the id numbering
>> starts from 1, and thus if you have 23 tokens then the id will go from 2 to
>> 24. The original update script will do: nid = 23 + 1 = 24 and the
>> modification will give 25 correctly). This is in 2 places: nid =
>> len(evcb)+2;
>>
>> Do this and it will work.
>>
>> In any case... send me a zip file of your working directory (if its
>> small.... you are testing it on small data right ? ). I will see what the
>> problem is.
>>
>>
>>
>> On Wed, Nov 19, 2014 at 11:44 PM, Sandipan Dandapat <
>> [email protected]> wrote:
>>
>>> Dear Raj,
>>> I also tried to use your scripts for incremental alignment. I copied
>>> your python script in the desired directory still I am receiving the same
>>> error as posted by Ihab.
>>> reading vocabulary files
>>> Reading vocabulary file from:new_corpus/inc.fr.vcb
>>> ERROR: TOKEN ID must be unique for each token, in line :
>>> 24 roi 2
>>> TOKEN ID 24 has already been assigned to: roi
>>>
>>> I took only 500 sentences pairs for full_train.sh and it worked fine
>>> with 758 lines in the corpus/tgt_filename.vcb file
>>>
>>> I took only 10 sentences for incremental alignment_new.sh which
>>> generated the error and I found 8054 lines in the
>>> new_corpus/new_tgt_file.vcb
>>> Is there any problem? Can you please help me on the same.
>>>
>>> Thanks and regards,
>>> sandipan
>>>
>>>
>>> On 4 November 2014 16:13, prajdabre <[email protected]> wrote:
>>>
>>>> Dear Ihab.
>>>> There is a python script that was there in the google drive folder in
>>>> the first mail I sent you.
>>>> Please replace the existing file with my copy.
>>>>
>>>> It has to work.
>>>>
>>>> Regards.
>>>>
>>>>
>>>> Sent from Samsung Mobile
>>>>
>>>>
>>>>
>>>> -------- Original message --------
>>>> From: Ihab Ramadan <[email protected]>
>>>> Date: 05/11/2014 00:54 (GMT+09:00)
>>>> To: 'Raj Dabre' <[email protected]>
>>>> Cc: [email protected]
>>>> Subject: RE: [Moses-support] Incremental training
>>>>
>>>>
>>>> Dear Raj,
>>>>
>>>> Your point is clear and I try to follow the steps you mentioned but I
>>>> stuck now in the align_new.sh script which gives me this error
>>>>
>>>> reading vocabulary files
>>>>
>>>> Reading vocabulary file from:new_corpus/TraningTarget.txt.vcb
>>>>
>>>> ERROR: TOKEN ID must be unique for each token, in line :
>>>>
>>>> 29107 q-1 4
>>>>
>>>> Do you have any idea what this error means?
>>>>
>>>>
>>>>
>>>> *From:* Raj Dabre [mailto:[email protected]]
>>>> *Sent:* Tuesday, November 4, 2014 12:06 PM
>>>> *To:* [email protected]
>>>> *Cc:* [email protected]
>>>> *Subject:* Re: [Moses-support] Incremental training
>>>>
>>>>
>>>>
>>>> Dear Ihab,
>>>>
>>>> Perhaps I should have mentioned much more clearly what my script does.
>>>> Sorry for that.
>>>>
>>>> Let me start with this: There is no direct/easy way to generate the
>>>> moses.ini file as you need.
>>>>
>>>> 1. Suppose you have 2 million lines of parallel corpora and you trained
>>>> a SMT system for it. This naturally gives the phrase table, reordering
>>>> table and moses.ini.
>>>>
>>>> 2. Suppose you got 500 k more lines of parallel corpora.... there are 2
>>>> ways:
>>>>
>>>>     a. Retrain 2.5 million lines from scratch (will take lots of time:
>>>> ~ 2-3 days on a regular machines)
>>>>
>>>>     b. Train on only the 500k new lines using the alignment information
>>>> of the original training data. (Faster: ~ 6-7 hours).
>>>>
>>>>
>>>>
>>>> What my scripts do: *THEY ONLY GENERATE ALIGNMENTS and NOT PHRASE
>>>> TABLES.*
>>>>
>>>> 1. full_train.sh -------------- This trains on the original corpus of 2
>>>> million lines. (Generate alignment files only for the original corpus)
>>>>
>>>> 2. align_new.sh -------------- This trains on the new corpus of 500 k
>>>> lines. (Generate alignment files only for the new corpus using the
>>>> alignments for 1)
>>>>
>>>>
>>>>
>>>> *Why this split ????* Because the basic training step of Moses does
>>>> not preserve the alignment probability information. Only the alignments are
>>>> saved. To continue training we need the probability information.
>>>>
>>>> You can pass flags to moses to preserve this information ( this flag
>>>> is --giza-option . If you do this then you will not need
>>>> full_train.sh. But you will have to change the config files before using
>>>> align_new.sh)
>>>>
>>>> *HOW TO GET UPDATED PHRASE TABLE:*
>>>>
>>>> 1. Append the forward alignments (fwd) generated by align_new.sh to the
>>>> forward (fwd) alignments generated by full_train.sh.
>>>> 2. Append the inverse alignments (inv) generated by align_new.sh to the
>>>> inverse (inv) alignments generated by full_train.sh.
>>>>
>>>> 3. Run the moses training script with additional flags:
>>>>
>>>>    - --first-step -- first step in the training process (default
>>>>    1)--------------- This will be 4
>>>>    - --last-step -- last step in the training process (default
>>>>    7)------------ This will remain 7
>>>>    - --giza-f2e -- <path to folder>/new_giza.fwd
>>>>    - --giza-e2f -- <path to folder>/new_giza.inv
>>>>
>>>> For example:
>>>>
>>>> ~/mosesdecoder/scripts/training/train-model.perl -root-dir <your training 
>>>> directory> \
>>>>
>>>>  -corpus <your new corpus name>                             \
>>>>
>>>>  -f <src> -e <tgt> -alignment grow-diag-final-and -reordering 
>>>> msd-bidirectional-fe \
>>>>
>>>>  -lm 0:3:<path to LM>:8                          \
>>>>  --first-step 4  --last-step 7 --giza-f2e -- <path to folder>/new_giza.fwd 
>>>> --giza-e2f -- <path to folder>/new_giza.inv \
>>>>  -external-bin-dir <path to giza++ binaries>
>>>>
>>>> For more details on the training step read this:
>>>> http://www.statmt.org/moses/?n=FactoredTraining.TrainingParameters
>>>>
>>>> What this does is assumes that you have alignments and continue the
>>>> phrase extraction, reordering and generate the new moses.ini file.
>>>>
>>>> WARNING: Specify the filenames and paths properly *OR IT WILL FAIL.*
>>>>
>>>>
>>>>
>>>> If you are still unclear then please ask and I will try to help you as
>>>> much as I can.
>>>>
>>>> Regards.
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> On Tue, Nov 4, 2014 at 6:09 PM, Ihab Ramadan <[email protected]>
>>>> wrote:
>>>>
>>>> Dear Raj,
>>>>
>>>> That’s a great work my friend,
>>>>
>>>> This files make the script work but it takes long time to finish also
>>>> it did not generate the model folder which contain the moses.ini file
>>>>
>>>> Is this normal?
>>>>
>>>> And I now try to run it again as I suspect that the server was shut
>>>> down before the training was completed but i notice that it starts form the
>>>> beginning and did not use the existing files generated
>>>>
>>>> Thanks Raj it still a great work
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> *From:* Raj Dabre [mailto:[email protected]]
>>>> *Sent:* Thursday, October 30, 2014 4:54 PM
>>>>
>>>>
>>>> *To:* [email protected]
>>>> *Cc:* [email protected]
>>>> *Subject:* Re: [Moses-support] Incremental training
>>>>
>>>>
>>>>
>>>> Ahh.... i totally forgot that part.
>>>>
>>>> Sorry.
>>>>
>>>> PFA.
>>>>
>>>> Just place them in the folder where the shell scripts full_train.sh and
>>>> align_new.sh are.
>>>>
>>>> Hopefully it should run now.
>>>>
>>>> Please let me know if you succeed.
>>>>
>>>>
>>>>
>>>> On Thu, Oct 30, 2014 at 11:44 PM, Ihab Ramadan <[email protected]>
>>>> wrote:
>>>>
>>>> Dear Raj,
>>>>
>>>> It is a great solution
>>>>
>>>> I installed MGIZA++ successfully and I am using your scripts to run
>>>> training
>>>>
>>>> And I followed the steps you mentioned but I faces this error when I
>>>> was running the full_train.sh script
>>>>
>>>>
>>>>
>>>> bla bla  bla
>>>>
>>>> .
>>>>
>>>> .
>>>>
>>>> .
>>>>
>>>> .
>>>>
>>>>
>>>>
>>>> Starting MGIZA
>>>>
>>>> Initializing Global Paras
>>>>
>>>> DEBUG: EnterDEBUG: PrefixDEBUG: LogParsing Arguments
>>>>
>>>> ERROR:  Cannot open configuration file configgiza.fwd!
>>>>
>>>> Starting MGIZA
>>>>
>>>> Initializing Global Paras
>>>>
>>>> DEBUG: EnterDEBUG: PrefixDEBUG: LogParsing Arguments
>>>>
>>>> ERROR:  Cannot open configuration file configgiza.rev!
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> This two files does not exists
>>>>
>>>> should they be generated from the installation?
>>>>
>>>> How to get them?
>>>>
>>>>
>>>>
>>>> *From:* Raj Dabre [mailto:[email protected]]
>>>> *Sent:* Sunday, October 26, 2014 6:21 PM
>>>> *To:* [email protected]
>>>> *Cc:* [email protected]
>>>> *Subject:* Re: [Moses-support] Incremental training
>>>>
>>>>
>>>>
>>>> Hello Ihab,
>>>>
>>>> I would suggest using mgiza++.
>>>> http://www.kyloo.net/software/doku.php/mgiza:overview
>>>>
>>>> It is very easy to use.
>>>>
>>>> I also wrote some scripts to make it easy for training.
>>>> Visit the link below for my scripts.
>>>>
>>>> https://drive.google.com/folderview?id=0B2gN8qfxTTUoSU43OFBhZXpPZ3M&usp=sharing
>>>>
>>>> Usage:
>>>>
>>>> To train basic IBM models:
>>>> bash full_train.sh <src_corpus_file_name> <tgt_corpus_file_name>
>>>> <model_folder_base> <corpus_folder_base> <path_to_mgizapp_installation>
>>>>
>>>> To align 2 new files using previously trained models (aka continue
>>>> training).
>>>>
>>>> bash align_new.sh <new_src_corpus_file_name> <new_tgt_corpus_file_name>
>>>> <old_src_corpus_file_name> <old_tgt_corpus_file_name> <model_folder_base>
>>>> <corpus_folder_base> <path_to_mgizapp_installation>
>>>>
>>>> There is also a python script which you had better replace in the
>>>> scripts folder of mgiza++. I have modified it to work with my scripts.
>>>>
>>>> Hope this helps.
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> On Sun, Oct 26, 2014 at 11:05 PM, Ihab Ramadan <[email protected]>
>>>> wrote:
>>>>
>>>> Dear All,
>>>>
>>>> I just need a clear steps on how to do incremental training in moses,
>>>> as the illustration in the manual is not cleared enough
>>>>
>>>> Thanks
>>>>
>>>>
>>>>
>>>> Best Regards
>>>>
>>>> *Ihab Ramadan*| Senior Developer| Saudisoft <http://www.saudisoft.com/>
>>>> - Egypt | *Tel * +2 02 330 320 37  Ext- 0 | Mob+201007570826 | Fax
>>>> +20233032036 | *Follow us on *[image: linked]
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>>>>  |
>>>> **[image: ZA102637861]*
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>>>>  |
>>>> **[image: ZA102637858]* <https://twitter.com/Saudisoft>
>>>>
>>>>
>>>>
>>>>
>>>> _______________________________________________
>>>> Moses-support mailing list
>>>> [email protected]
>>>> http://mailman.mit.edu/mailman/listinfo/moses-support
>>>>
>>>>
>>>>
>>>>
>>>> --
>>>>
>>>> Raj Dabre.
>>>> Research Student,
>>>>
>>>> Graduate School of Informatics,
>>>> Kyoto University.
>>>>
>>>> CSE MTech, IITB., 2011-2014
>>>>
>>>>
>>>>
>>>>
>>>> --
>>>>
>>>> Raj Dabre.
>>>> Research Student,
>>>>
>>>> Graduate School of Informatics,
>>>> Kyoto University.
>>>>
>>>> CSE MTech, IITB., 2011-2014
>>>>
>>>>
>>>>
>>>>
>>>> --
>>>>
>>>> Raj Dabre.
>>>> Research Student,
>>>>
>>>> Graduate School of Informatics,
>>>> Kyoto University.
>>>>
>>>> CSE MTech, IITB., 2011-2014
>>>>
>>>> _______________________________________________
>>>> Moses-support mailing list
>>>> [email protected]
>>>> http://mailman.mit.edu/mailman/listinfo/moses-support
>>>>
>>>>
>>>
>>
>>
>> --
>> Raj Dabre.
>> Research Student,
>> Graduate School of Informatics,
>> Kyoto University.
>> CSE MTech, IITB., 2011-2014
>>
>>
>
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