diff options
Diffstat (limited to 'dtrain/test/example')
| -rw-r--r-- | dtrain/test/example/cdec.ini | 24 | ||||
| -rw-r--r-- | dtrain/test/example/dtrain.ini | 20 | ||||
| -rw-r--r-- | dtrain/test/example/nc-wmt11.1k.gz | bin | 0 -> 21185883 bytes | |||
| -rw-r--r-- | dtrain/test/example/nc-wmt11.en.srilm.gz | bin | 0 -> 16017291 bytes |
4 files changed, 44 insertions, 0 deletions
diff --git a/dtrain/test/example/cdec.ini b/dtrain/test/example/cdec.ini new file mode 100644 index 00000000..fe5ca759 --- /dev/null +++ b/dtrain/test/example/cdec.ini @@ -0,0 +1,24 @@ +formalism=scfg +add_pass_through_rules=true +scfg_max_span_limit=15 +intersection_strategy=cube_pruning +cubepruning_pop_limit=30 +feature_function=WordPenalty +feature_function=KLanguageModel test/example/nc-wmt11.en.srilm.gz +# all currently working feature function for translation: +#feature_function=ArityPenalty +#feature_function=CMR2008ReorderingFeatures +#feature_function=Dwarf +#feature_function=InputIndicator +#feature_function=LexNullJump +#feature_function=NewJump +#feature_function=NgramFeatures +#feature_function=NonLatinCount +#feature_function=OutputIndicator +feature_function=RuleIdentityFeatures +feature_function=RuleNgramFeatures +feature_function=RuleShape +#feature_function=SourceSpanSizeFeatures +#feature_function=SourceWordPenalty +#feature_function=SpanFeatures +# ^^^ features active that were used in the ACL paper diff --git a/dtrain/test/example/dtrain.ini b/dtrain/test/example/dtrain.ini new file mode 100644 index 00000000..68173e11 --- /dev/null +++ b/dtrain/test/example/dtrain.ini @@ -0,0 +1,20 @@ +input=test/example/nc-wmt11.1k.gz # use '-' for stdin +output=- # a weights file or stdout +decoder_config=test/example/cdec.ini # ini for cdec +# these will be printed on each iteration +print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough +tmp=/tmp +stop_after=10 # stop iteration after 10 inputs + +# interesting stuff +epochs=3 # run over input 3 times +k=200 # use 100best lists +N=4 # optimize (approx) BLEU4 +learning_rate=0.0001 # learning rate +gamma=0.00001 # use SVM reg +scorer=stupid_bleu # use stupid BLEU+1 approx. +sample_from=kbest # use kbest lists (as opposed to forest) +filter=uniq # only uniq entries in kbest +pair_sampling=108010 # 10 vs 80 vs 10 and 80 vs 10 +pair_threshold=0 # minimum distance in BLEU +select_weights=last # just output last weights diff --git a/dtrain/test/example/nc-wmt11.1k.gz b/dtrain/test/example/nc-wmt11.1k.gz Binary files differnew file mode 100644 index 00000000..45496cd8 --- /dev/null +++ b/dtrain/test/example/nc-wmt11.1k.gz diff --git a/dtrain/test/example/nc-wmt11.en.srilm.gz b/dtrain/test/example/nc-wmt11.en.srilm.gz Binary files differnew file mode 100644 index 00000000..7ce81057 --- /dev/null +++ b/dtrain/test/example/nc-wmt11.en.srilm.gz |