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Today's Topics:
   1. Fwd: Moses-support post from farnazgh73@gmail.com	requires
      approval (Hieu Hoang)
   2. Re: Kendall's tau metric (Arefeh Kazemi)
----------------------------------------------------------------------
Message: 1
Date: Sat, 14 May 2016 20:57:44 -0400
From: Hieu Hoang <hieuhoang@gmail.com>
Subject: [Moses-support] Fwd: Moses-support post from
	farnazgh73@gmail.com	requires approval
To: farnazgh73@gmail.com, moses-support <moses-support@mit.edu>
Message-ID:
	<CAEKMkbjfCMriUgSSHFJOZMGhu=5Eepc+CB0ORQkb9ZHWwGXu7w@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
Please subscribe to the moses mailing list before posting to it. You can
subscribe here
   http://mailman.mit.edu/mailman/listinfo/moses-support
I'm not sure what the solution to your problem is, but this looks wrong
   `pwd`/~/working/train/model/moses.ini
Hieu Hoang
http://www.hoang.co.uk/hieu
---------- Forwarded message ----------
From: <moses-support-owner@mit.edu>
Date: 14 May 2016 at 16:27
Subject: Moses-support post from farnazgh73@gmail.com requires approval
To: moses-support-owner@mit.edu
As list administrator, your authorization is requested for the
following mailing list posting:
    List:    Moses-support@mit.edu
    From:    farnazgh73@gmail.com
    Subject: problem with tuning
    Reason:  Post by non-member to a members-only list
At your convenience, visit:
    http://mailman.mit.edu/mailman/admindb/moses-support
to approve or deny the request.
---------- Forwarded message ----------
From: farnaz ghasemi <farnazgh73@gmail.com>
To: moses-support@mit.edu
Cc:
Date: Sun, 15 May 2016 00:57:31 +0430
Subject: problem with tuning
hi
After training, I use bellow command for tuning :
~/mosesdecoder/scripts/training/mert-moses.pl
~/Desktop/moses/moses/syntax based/Tune/News_Tune.txt
~/Desktop/moses/moses/syntax based/Tune/Ref/Ref
~/mosesdecoder/bin/moses_chart
`pwd`/~/working/train/model/moses.ini
--mertdir ~/mosesdecoder/bin
--working-dir `pwd`/~/Desktop/working/tuning/mert
--threads 4
--no-filter-phrase-table
--decoder-flags "-threads 4 -max-chart-span 1000"
--inputtype 3
--predictable-seeds
>& ~/Desktop/working/tuning/mert.log
but the only thing that I received was this :
Options:
  --working-dir=mert-dir ... where all the files are created
  --nbest=100            ... how big nbestlist to generate
  --lattice-samples      ... how many lattice samples (Chatterjee &
Cancedda, emnlp 2010)
  --jobs=N               ... set this to anything to run moses in parallel
  --mosesparallelcmd=STR ... use a different script instead of
moses-parallel
  --queue-flags=STRING   ... anything you with to pass to qsub, eg.
                             '-l ws06osssmt=true'. The default is: '-hard'
                             To reset the parameters, please use
                             --queue-flags=' '
                             (i.e. a space between the quotes).
  --decoder-flags=STRING ... extra parameters for the decoder
  --continue             ... continue from the last successful iteration
  --skip-decoder         ... skip the decoder run for the first time,
                             assuming that we got interrupted during
                             optimization
  --shortest --average --closest
                         ... Use shortest/average/closest reference length
                             as effective reference length (mutually
exclusive)
  --nocase               ... Do not preserve case information; i.e.
                             case-insensitive evaluation (default is false).
  --nonorm               ... Do not use text normalization (flag is not
active,
                             i.e. text is NOT normalized)
  --filtercmd=STRING     ... path to filter-model-given-input.pl
  --filterfile=STRING    ... path to alternative to input-text for filtering
                             model. useful for lattice decoding
  --rootdir=STRING       ... where do helpers reside (if not given
explicitly)
  --mertdir=STRING       ... path to new mert implementation
  --mertargs=STRING      ... extra args for both extractor and mert
  --extractorargs=STRING ... extra args for extractor only
  --mertmertargs=STRING  ... extra args for mert only
  --scorenbestcmd=STRING ... path to score-nbest.py
  --old-sge              ... passed to parallelizers, assume Grid Engine <
6.0
  --inputtype=[0|1|2]    ... Handle different input types: (0 for text,
                             1 for confusion network, 2 for lattices,
                             default is 0)
  --no-filter-phrase-table ... disallow filtering of phrase tables
                              (useful if binary phrase tables are available)
  --random-restarts=INT  ... number of random restarts (default: 20)
  --predictable-seeds    ... provide predictable seeds to mert so that
random
                             restarts are the same on every run
  --range=tm:0..1,-1..1  ... specify min and max value for some features
                             --range can be repeated as needed.
                             The order of the various --range specifications
                             is important only within a feature name.
                             E.g.:
                               --range=tm:0..1,-1..1 --range=tm:0..2
                             is identical to:
                               --range=tm:0..1,-1..1,0..2
                             but not to:
                               --range=tm:0..2 --range=tm:0..1,-1..1
  --activate-features=STRING  ... comma-separated list of features to
optimize,
                                  others are fixed to the starting values
                                  default: optimize all features
                                  example: tm_0,tm_4,d_0
  --prev-aggregate-nbestlist=INT ... number of previous step to consider
when
                                     loading data (default = -1)
                                    -1 means all previous, i.e. from
iteration 1
                                     0 means no previous data, i.e. only the
                                       current iteration
                                     N means this and N previous iterations
  --maximum-iterations=ITERS ... Maximum number of iterations. Default: 25
  --return-best-dev          ... Return the weights according to dev bleu,
instead of returning
                                 the last iteration
  --random-directions               ... search only in random directions
  --number-of-random-directions=int ... number of random directions
                                        (also works with regular optimizer,
default: 0)
  --pairwise-ranked         ... Use PRO for optimisation (Hopkins and May,
emnlp 2011)
  --pro-starting-point      ... Use PRO to get a starting point for MERT
  --batch-mira              ... Use Batch MIRA for optimisation (Cherry and
Foster, NAACL 2012)
  --hg-mira                 ... Use hypergraph MIRA, ie batch mira with
hypergraphs instead of kbests.
  --batch-mira-args=STRING  ... args to pass through to batch/hg MIRA. This
flag is useful to
                                change MIRA's hyperparameters such as
regularization parameter C,
                                BLEU decay factor, and the number of
iterations of MIRA.
  --promix-training=STRING  ... PRO-based mixture model training (Haddow,
NAACL 2013)
  --promix-tables=STRING    ... Phrase tables for PRO-based mixture model
training.
  --threads=NUMBER          ... Use multi-threaded mert (must be compiled
in).
  --historic-interpolation  ... Interpolate optimized weights with prior
iterations' weight
                                (parameter sets factor [0;1] given to
current weights)
  --spe-symal=SYMAL      ... Use simulated post-editing when decoding.
                             (SYMAL aligns input to refs)
is there any idea?..
thanks
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From: moses-support-request@mit.edu
To:
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Date:
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Message: 2
Date: Sun, 15 May 2016 06:22:25 +0000 (UTC)
From: Arefeh Kazemi <arefeh_kazemi@yahoo.com>
Subject: Re: [Moses-support] Kendall's tau metric
To: Moses-support <moses-support@mit.edu>
Message-ID:
	<1533005254.2565742.1463293345815.JavaMail.yahoo@mail.yahoo.com>
Content-Type: text/plain; charset="utf-8"
Hi
I've used Lrsocre for tuning moses, with this command:mert-moses.pl --mertargs="--sctype KENDALL,BLEU --scconfig weights:0.2+0.8 refalign: ... "It works well and gives a bleu score on tuning set. 
Now I'm going to use Lrscore to evaluate the test set with Lrscore but I don't know how.
ThanksArefeh
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