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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: <[email protected]> Date: 14 May 2016 at 16:27 Subject: Moses-support post from [email protected] requires approval To: [email protected] As list administrator, your authorization is requested for the following mailing list posting: List: [email protected] From: [email protected] 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 <[email protected]> To: [email protected] 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 ---------- Forwarded message ---------- From: [email protected] To: Cc: Date: Subject: confirm d234dedb76fd164c3538f94377b479ae749a1512 If you reply to this message, keeping the Subject: header intact, Mailman will discard the held message. Do this if the message is spam. If you reply to this message and include an Approved: header with the list password in it, the message will be approved for posting to the list. The Approved: header can also appear in the first line of the body of the reply.
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