def mergeAll(input, output=None, debug=False, iterate=False):
if iterate:
origItems = defaultdict(int)
removedItems = defaultdict(int)
for docSentences in SentenceElements.getCorpusIterator(input, output):
entitiesByType, duplicatesRemovedByType = mergeDuplicateEntities(
docSentences, debug)
for key in entitiesByType:
origItems[key] += entitiesByType[key]
for key in duplicatesRemovedByType:
removedItems[key] += duplicatesRemovedByType[key]
interactionsByType, duplicatesRemovedByType = mergeDuplicateInteractions(
docSentences, debug)
for key in interactionsByType:
origItems[key] += interactionsByType[key]
for key in duplicatesRemovedByType:
removedItems[key] += duplicatesRemovedByType[key]
printStats(origItems, removedItems)
return None
else:
corpusElements = CorpusElements.loadCorpus(
input, removeIntersentenceInteractions=False)
print >> sys.stderr, "Merging duplicate entities"
entitiesByType, duplicatesRemovedByType = mergeDuplicateEntities(
corpusElements.sentences, debug)
printStats(entitiesByType, duplicatesRemovedByType)
print >> sys.stderr, "Merging duplicate interactions"
interactionsByType, duplicatesRemovedByType = mergeDuplicateInteractions(
corpusElements.sentences, debug)
printStats(interactionsByType, duplicatesRemovedByType)
if output != None:
print >> sys.stderr, "Writing output to", output
ETUtils.write(corpusElements.rootElement, output)
return corpusElements
def mergeAll(input, output=None, debug=False, iterate=False):
if iterate:
origItems = defaultdict(int)
removedItems = defaultdict(int)
for docSentences in SentenceElements.getCorpusIterator(input, output):
entitiesByType, duplicatesRemovedByType = mergeDuplicateEntities(docSentences, debug)
for key in entitiesByType: origItems[key] += entitiesByType[key]
for key in duplicatesRemovedByType: removedItems[key] += duplicatesRemovedByType[key]
interactionsByType, duplicatesRemovedByType = mergeDuplicateInteractions(docSentences, debug)
for key in interactionsByType: origItems[key] += interactionsByType[key]
for key in duplicatesRemovedByType: removedItems[key] += duplicatesRemovedByType[key]
printStats(origItems, removedItems)
return None
else:
corpusElements = CorpusElements.loadCorpus(input, removeIntersentenceInteractions=False)
print >> sys.stderr, "Merging duplicate entities"
entitiesByType, duplicatesRemovedByType = mergeDuplicateEntities(corpusElements.sentences, debug)
printStats(entitiesByType, duplicatesRemovedByType)
print >> sys.stderr, "Merging duplicate interactions"
interactionsByType, duplicatesRemovedByType = mergeDuplicateInteractions(corpusElements.sentences, debug)
printStats(interactionsByType, duplicatesRemovedByType)
if output != None:
print >> sys.stderr, "Writing output to", output
ETUtils.write(corpusElements.rootElement, output)
return corpusElements
def mergeAll(input, output=None, debug=False):
corpusElements = CorpusElements.loadCorpus(input, removeIntersentenceInteractions=False)
mergeDuplicateEntities(corpusElements, debug)
mergeDuplicateInteractions(corpusElements, debug)
if output != None:
print >> sys.stderr, "Writing output to", output
ETUtils.write(corpusElements.rootElement, output)
return corpusElements
print >> sys.stderr, "Psyco not installed"
optparser = OptionParser(usage="%prog [options]\nCreate an html visualization for a corpus.")
#optparser.add_option("-i", "--input", default=None, dest="input", help="Corpus in analysis format", metavar="FILE")
optparser.add_option("-s", "--source", default=None, dest="source", help="Corpus in analysis format", metavar="FILE")
optparser.add_option("-r", "--target", default=None, dest="target", help="Corpus in analysis format", metavar="FILE")
#optparser.add_option("-o", "--output", default=None, dest="output", help="Corpus in analysis format", metavar="FILE")
optparser.add_option("-t", "--tokenization", default="split-McClosky", dest="tokenization", help="Tokenization element name")
optparser.add_option("-p", "--parse", default="split-McClosky", dest="parse", help="Parse element name")
(options, args) = optparser.parse_args()
assert(options.source != None)
assert(options.target != None)
#assert(options.output != None)
print >> sys.stderr, "Loading source:",
sourceElements = CorpusElements.loadCorpus(options.source, options.parse, options.tokenization)
print >> sys.stderr, "Loading target:",
targetElements = CorpusElements.loadCorpus(options.target, options.parse, options.tokenization)
parseCopied = None
tokenizationCopied = None
print >> sys.stderr, "Mapping sentences"
origIdToSentences = {}
for sourceSentence in sourceElements.sentences:
origIdToSentences[sourceSentence.sentence.get("origId")] = [sourceSentence, None]
for targetSentence in targetElements.sentences:
assert origIdToSentences.has_key(targetSentence.sentence.get("origId")), targetSentence.sentence.get("origId")
origIdToSentences[targetSentence.sentence.get("origId")][1] = targetSentence
print >> sys.stderr, "Comparing sentences"
count = 0
for key in sorted(origIdToSentences.keys()):
sourceSentence = origIdToSentences[key][0]
def copyParse(input, source, output, parse, tokenization):
print >> sys.stderr, "Loading input file", input
inputTree = ETUtils.ETFromObj(input)
inputRoot = inputTree.getroot()
print >> sys.stderr, "Loading source:",
sourceElements = CorpusElements.loadCorpus(source, parse, tokenization)
sourceSentencesByText = {}
for sentence in sourceElements.sentences:
sentenceText = sentence.sentence.get("text")
#assert not sourceSentencesByText.has_key(sentenceText)
if sourceSentencesByText.has_key(sentenceText):
print >> sys.stderr, "Duplicate text", sentence.sentence.get("id"), sourceSentencesByText[sentenceText].sentence.get("id")
sourceSentencesByText[sentenceText] = sentence
parsesCopied = [0,0]
tokenizationsCopied = [0,0]
for sentence in inputRoot.getiterator("sentence"):
parsesCopied[1] += 1
tokenizationsCopied[1] += 1
#sourceSentence = sourceElements.sentencesByOrigId[sentence.attrib["origId"]]
if not sourceSentencesByText.has_key(sentence.get("text")):
print >> sys.stderr, "Warning, no text found for sentence", sentence.get("id")
continue
sourceSentence = sourceSentencesByText[sentence.get("text")]
# Create analyses element (if needed)
targetAnalysesElement = sentence.find("sentenceanalyses")
if targetAnalysesElement == None:
targetAnalysesElement = ET.Element("sentenceanalyses")
sentence.append(targetAnalysesElement)
# Create parses element (if needed)
targetParsesElement = targetAnalysesElement.find("parses")
if targetParsesElement == None:
targetParsesElement = ET.Element("parses")
targetAnalysesElement.append(targetParsesElement)
# Check whether parse already exists
targetParseElements = targetParsesElement.findall("parse")
newParse = None
for parseElement in targetParseElements:
if parseElement.get("parser") == parse:
newParse = parseElement
break
# Copy parse if it doesn't
if newParse == None and sourceSentence.parseElement != None:
targetParsesElement.append(sourceSentence.parseElement)
parsesCopied[0] += 1
# Create tokenizations element (if needed)
targetTokenizationsElement = targetAnalysesElement.find("tokenizations")
if targetTokenizationsElement == None:
targetTokenizationsElement = ET.Element("tokenizations")
targetAnalysesElement.append(targetTokenizationsElement)
# Check whether tokenization already exists
targetTokenizationElements = targetTokenizationsElement.findall("tokenization")
newTokenization = None
for tokenizationElement in targetTokenizationElements:
if tokenizationElement.attrib["tokenizer"] == newParse.attrib["tokenizer"]:
newTokenization = tokenizationElement
break
# Copy parse if it doesn't
if newTokenization == None and sourceSentence.tokenizationElement != None:
targetTokenizationsElement.append(sourceSentence.tokenizationElement)
tokenizationsCopied[0] += 1
print >> sys.stderr, "Copied parse elements", parsesCopied
print >> sys.stderr, "Copied tokenization elements", tokenizationsCopied
if output != None:
print >> sys.stderr, "Writing output to", output
ETUtils.write(inputTree, output)
return inputTree
def copyParse(input, source, output, parse, tokenization):
print >> sys.stderr, "Loading input file", input
inputTree = ETUtils.ETFromObj(input)
inputRoot = inputTree.getroot()
print >> sys.stderr, "Loading source:",
sourceElements = CorpusElements.loadCorpus(source, parse, tokenization)
sourceSentencesByText = {}
for sentence in sourceElements.sentences:
sentenceText = sentence.sentence.get("text")
#assert not sourceSentencesByText.has_key(sentenceText)
if sourceSentencesByText.has_key(sentenceText):
print >> sys.stderr, "Duplicate text", sentence.sentence.get(
"id"), sourceSentencesByText[sentenceText].sentence.get("id")
sourceSentencesByText[sentenceText] = sentence
parsesCopied = [0, 0]
tokenizationsCopied = [0, 0]
for sentence in inputRoot.getiterator("sentence"):
parsesCopied[1] += 1
tokenizationsCopied[1] += 1
#sourceSentence = sourceElements.sentencesByOrigId[sentence.attrib["origId"]]
if not sourceSentencesByText.has_key(sentence.get("text")):
print >> sys.stderr, "Warning, no text found for sentence", sentence.get(
"id")
continue
sourceSentence = sourceSentencesByText[sentence.get("text")]
# Create analyses element (if needed)
targetAnalysesElement = sentence.find("sentenceanalyses")
if targetAnalysesElement == None:
targetAnalysesElement = ET.Element("sentenceanalyses")
sentence.append(targetAnalysesElement)
# Create parses element (if needed)
targetParsesElement = targetAnalysesElement.find("parses")
if targetParsesElement == None:
targetParsesElement = ET.Element("parses")
targetAnalysesElement.append(targetParsesElement)
# Check whether parse already exists
targetParseElements = targetParsesElement.findall("parse")
newParse = None
for parseElement in targetParseElements:
if parseElement.get("parser") == parse:
newParse = parseElement
break
# Copy parse if it doesn't
if newParse == None and sourceSentence.parseElement != None:
targetParsesElement.append(sourceSentence.parseElement)
parsesCopied[0] += 1
# Create tokenizations element (if needed)
targetTokenizationsElement = targetAnalysesElement.find(
"tokenizations")
if targetTokenizationsElement == None:
targetTokenizationsElement = ET.Element("tokenizations")
targetAnalysesElement.append(targetTokenizationsElement)
# Check whether tokenization already exists
targetTokenizationElements = targetTokenizationsElement.findall(
"tokenization")
newTokenization = None
for tokenizationElement in targetTokenizationElements:
if tokenizationElement.attrib["tokenizer"] == newParse.attrib[
"tokenizer"]:
newTokenization = tokenizationElement
break
# Copy parse if it doesn't
if newTokenization == None and sourceSentence.tokenizationElement != None:
targetTokenizationsElement.append(
sourceSentence.tokenizationElement)
tokenizationsCopied[0] += 1
print >> sys.stderr, "Copied parse elements", parsesCopied
print >> sys.stderr, "Copied tokenization elements", tokenizationsCopied
if output != None:
print >> sys.stderr, "Writing output to", output
ETUtils.write(inputTree, output)
return inputTree
"--tokenization",
default="split-McClosky",
dest="tokenization",
help="Tokenization element name")
optparser.add_option("-p",
"--parse",
default="split-McClosky",
dest="parse",
help="Parse element name")
(options, args) = optparser.parse_args()
assert (options.source != None)
assert (options.target != None)
#assert(options.output != None)
print >> sys.stderr, "Loading source:",
sourceElements = CorpusElements.loadCorpus(options.source, options.parse,
options.tokenization)
print >> sys.stderr, "Loading target:",
targetElements = CorpusElements.loadCorpus(options.target, options.parse,
options.tokenization)
parseCopied = None
tokenizationCopied = None
print >> sys.stderr, "Mapping sentences"
origIdToSentences = {}
for sourceSentence in sourceElements.sentences:
origIdToSentences[sourceSentence.sentence.get("origId")] = [
sourceSentence, None
]
for targetSentence in targetElements.sentences:
assert origIdToSentences.has_key(targetSentence.sentence.get(
"origId")), targetSentence.sentence.get("origId")
origIdToSentences[targetSentence.sentence.get(