public ParseFiles(Options op, TreePrint treePrint, LexicalizedParser pqFactory)
{
this.op = op;
this.pqFactory = pqFactory;
this.treePrint = treePrint;
this.tlp = op.tlpParams.TreebankLanguagePack();
this.pwOut = op.tlpParams.Pw();
this.pwErr = op.tlpParams.Pw(System.Console.Error);
if (op.testOptions.verbose)
{
pwErr.Println("Sentence final words are: " + Arrays.AsList(tlp.SentenceFinalPunctuationWords()));
pwErr.Println("File encoding is: " + op.tlpParams.GetInputEncoding());
}
// evaluation setup
this.runningAverages = bool.ParseBoolean(op.testOptions.evals.GetProperty("runningAverages"));
this.summary = bool.ParseBoolean(op.testOptions.evals.GetProperty("summary"));
if (bool.ParseBoolean(op.testOptions.evals.GetProperty("pcfgLL")))
{
this.pcfgLL = new AbstractEval.ScoreEval("pcfgLL", runningAverages);
}
else
{
this.pcfgLL = null;
}
if (bool.ParseBoolean(op.testOptions.evals.GetProperty("depLL")))
{
this.depLL = new AbstractEval.ScoreEval("depLL", runningAverages);
}
else
{
this.depLL = null;
}
if (bool.ParseBoolean(op.testOptions.evals.GetProperty("factLL")))
{
this.factLL = new AbstractEval.ScoreEval("factLL", runningAverages);
}
else
{
this.factLL = null;
}
}
public EvaluateTreebank(Options op, ILexicon lex, ParserGrammar pqFactory, Func <IList <IHasWord>, IList <TaggedWord> > tagger)
{
// private final Lexicon lex;
// no annotation
this.op = op;
this.debinarizer = new Debinarizer(op.forceCNF);
this.subcategoryStripper = op.tlpParams.SubcategoryStripper();
this.evals = Generics.NewArrayList();
Sharpen.Collections.AddAll(evals, pqFactory.GetExtraEvals());
this.parserQueryEvals = pqFactory.GetParserQueryEvals();
// this.lex = lex;
this.pqFactory = pqFactory;
this.tagger = tagger;
collinizer = op.tlpParams.Collinizer();
boundaryRemover = new BoundaryRemover();
bool runningAverages = bool.Parse(op.testOptions.evals.GetProperty("runningAverages"));
summary = bool.Parse(op.testOptions.evals.GetProperty("summary"));
tsv = bool.Parse(op.testOptions.evals.GetProperty("tsv"));
if (!op.trainOptions.leftToRight)
{
binarizerOnly = new TreeAnnotatorAndBinarizer(op.tlpParams, op.forceCNF, false, false, op);
}
else
{
binarizerOnly = new TreeAnnotatorAndBinarizer(op.tlpParams.HeadFinder(), new LeftHeadFinder(), op.tlpParams, op.forceCNF, false, false, op);
}
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgLB")))
{
pcfgLB = new Evalb("pcfg LP/LR", runningAverages);
}
// TODO: might be nice to allow more than one child-specific scorer
if (op.testOptions.evals.GetProperty("pcfgChildSpecific") != null)
{
string filter = op.testOptions.evals.GetProperty("pcfgChildSpecific");
pcfgChildSpecific = FilteredEval.ChildFilteredEval("pcfg children matching " + filter + " LP/LR", runningAverages, op.Langpack(), filter);
}
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgLA")))
{
pcfgLA = new LeafAncestorEval("pcfg LeafAncestor");
}
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgCB")))
{
pcfgCB = new Evalb.CBEval("pcfg CB", runningAverages);
}
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgDA")))
{
pcfgDA = new UnlabeledAttachmentEval("pcfg DA", runningAverages, op.Langpack().HeadFinder());
}
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgTA")))
{
pcfgTA = new TaggingEval("pcfg Tag", runningAverages, lex);
}
if (bool.Parse(op.testOptions.evals.GetProperty("depDA")))
{
depDA = new UnlabeledAttachmentEval("dep DA", runningAverages, null, op.Langpack().PunctuationWordRejectFilter());
}
if (bool.Parse(op.testOptions.evals.GetProperty("depTA")))
{
depTA = new TaggingEval("dep Tag", runningAverages, lex);
}
if (bool.Parse(op.testOptions.evals.GetProperty("factLB")))
{
factLB = new Evalb("factor LP/LR", runningAverages);
}
if (op.testOptions.evals.GetProperty("factChildSpecific") != null)
{
string filter = op.testOptions.evals.GetProperty("factChildSpecific");
factChildSpecific = FilteredEval.ChildFilteredEval("fact children matching " + filter + " LP/LR", runningAverages, op.Langpack(), filter);
}
if (bool.Parse(op.testOptions.evals.GetProperty("factLA")))
{
factLA = new LeafAncestorEval("factor LeafAncestor");
}
if (bool.Parse(op.testOptions.evals.GetProperty("factCB")))
{
factCB = new Evalb.CBEval("fact CB", runningAverages);
}
if (bool.Parse(op.testOptions.evals.GetProperty("factDA")))
{
factDA = new UnlabeledAttachmentEval("factor DA", runningAverages, null);
}
if (bool.Parse(op.testOptions.evals.GetProperty("factTA")))
{
factTA = new TaggingEval("factor Tag", runningAverages, lex);
}
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgRUO")))
{
pcfgRUO = new AbstractEval.RuleErrorEval("pcfg Rule under/over");
}
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgCUO")))
{
pcfgCUO = new AbstractEval.CatErrorEval("pcfg Category under/over");
}
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgCatE")))
{
pcfgCatE = new EvalbByCat("pcfg Category Eval", runningAverages);
}
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgLL")))
{
pcfgLL = new AbstractEval.ScoreEval("pcfgLL", runningAverages);
}
if (bool.Parse(op.testOptions.evals.GetProperty("depLL")))
{
depLL = new AbstractEval.ScoreEval("depLL", runningAverages);
}
if (bool.Parse(op.testOptions.evals.GetProperty("factLL")))
{
factLL = new AbstractEval.ScoreEval("factLL", runningAverages);
}
if (bool.Parse(op.testOptions.evals.GetProperty("topMatch")))
{
evals.Add(new TopMatchEval("topMatch", runningAverages));
}
// this one is for the various k Good/Best options. Just for individual results
kGoodLB = new Evalb("kGood LP/LR", false);
if (bool.Parse(op.testOptions.evals.GetProperty("pcfgTopK")))
{
topKEvals.Add(new BestOfTopKEval(new Evalb("pcfg top k comparisons", false), new Evalb("pcfg top k LP/LR", runningAverages)));
}
if (topKEvals.Count > 0)
{
kbestPCFG = op.testOptions.evalPCFGkBest;
}
if (op.testOptions.printPCFGkBest > 0)
{
kbestPCFG = Math.Max(kbestPCFG, op.testOptions.printPCFGkBest);
}
}
