def simpleConll(inputfilename):
"""
fonction qui lit rhapsodie tok
et choisit la fonction unique par token
resort un format conll standard
"""
trees = conllFile2trees(inputfilename)
#1/0
with codecs.open(inputfilename + '.simpl', 'w', 'utf-8') as f:
for treedic in trees:
#print "\n"
#for id in sorted(treedic):
#node=treedic[id]
#print "____",id, node
#print "ooo"
treedic = completeInformation(treedic)
ntreedic = passcomp(treedic)
# treedic ressemble à {1: {'lemma': u'bonjour', 'gov': {0: u'root'}, 'tag': u'B_I', 'id': 1, 't': u'bonjour'}, 3: {'lemma': u'Eric', 'gov': {0: u'root'}, 'tag': u'B_N', 'id': 3, 't': u'Eric'}}
for tokid in sorted(treedic):
tdic = treedic[tokid]
#print tokid,tdic
if tdic["gov"] != {}:
tgov = tdic["gov"].keys()[0]
tfonc = tdic["gov"][tgov]
else:
tgov, tfonc = "", ""
f.write("\t".join([
str(tdic["id"]), tdic["t"], tdic["lemma"], tdic["tag"][2:],
"", "",
str(tgov), tfonc
]) + "\n")
f.write("\n")
def makeTrainTestSets(infolder,pattern="*conll",train="train",test="test",empty="emptytest",testsize=10, lemma=True): tottec,tottrc,toks=0,0,0 with codecs.open(os.path.join(infolder, test),"w","utf-8") as testf, codecs.open(os.path.join(infolder, empty),"w","utf-8") as emptyf, codecs.open(os.path.join(infolder, train),"w","utf-8") as trainf: for infilename in glob.glob(os.path.join(infolder, pattern)): print "newconvert: looking at",infilename tec,trc=0,0 allsentences=conll.conllFile2trees(infilename) print len(allsentences),"sentences" testselection=random.sample(range(len(allsentences)),len(allsentences)*testsize/100) for i,s in enumerate(allsentences): toks+=len(s) if i in testselection: testf.write(treeToConll14Text(s)+"\n") emptyf.write(treeToEmptyConll14Text(s,lemma)+"\n") tec+=1 else: trainf.write(treeToConll14Text(s)+"\n") trc+=1 print "testing with",tec,"sentences. training with",trc,"sentences" tottec+=tec tottrc+=trc if not lemma: shutil.copyfile(os.path.join(infolder, empty), os.path.join(infolder, empty)+"_lem") print "tottec,tottrc,toks=",tottec,tottrc,toks
def degradeConllfile(conllfile, removeFuncs=["para"], removeDeps=0.4):
trees = conll.conllFile2trees(conllfile)
nbgovs = 0
for arbre in trees:
for i, node in arbre.iteritems():
if "gov" in node and node["gov"].keys(
)[0] != -1 and node["gov"].values()[0] not in removeFuncs:
nbgovs += 1
print int(nbgovs * removeDeps)
tobeRemoved = sorted(random.sample(range(nbgovs),
int(nbgovs * removeDeps)))
print "nbgovs:", nbgovs, "tobeRemoved:", tobeRemoved
nbgovs = 0
for arbre in trees:
for i, node in arbre.iteritems():
if "gov" in node and node["gov"].keys()[0] != -1:
if node["gov"].values()[0] in removeFuncs:
node["gov"] = {}
else:
nbgovs += 1
if nbgovs in tobeRemoved:
node["gov"] = {}
newname = conllfile
if conllfile.endswith(".conll"): newname = conllfile[:-len(".conll")]
shutil.move(conllfile, newname + ".orig")
conll.trees2conllFile(trees, newname + ".deg", columns=10)
def passcompUp(infilename, outfilename):
trees = conllFile2trees(infilename)
print "read trees"
with codecs.open(outfilename, "w", "utf-8") as outfile:
for tree in trees:
tree = completeInformation(tree)
tree = passcomp(tree)
for i, tokenid in enumerate(sorted(tree)):
node = tree[tokenid]
gov = node.get("gov", {}).items()
govid, func = gov[0]
outfile.write("\t".join([
str(tokenid),
node.get("t", "_"),
node.get("lemma", "_"),
node.get("lemma", "_"),
node.get("tag", "_"),
node.get("tag", "_"),
node.get("morph", "_"),
node.get("morph", "_"),
str(govid),
str(govid), func, func, "_", "_"
]) + "\n")
outfile.write("\n")
def funcsearch(infolder):
errors = {}
numerrors = 0
for infile in sorted(glob.glob(os.path.join(infolder, "*"))): # .conll
if not os.path.isfile(infile): continue
basename = os.path.basename(infile)
print "reading", basename
trees = conll.conllFile2trees(infile)
for tree in trees:
for i, node in tree.iteritems():
if node["gov"].values()[0] in ["dm"] and node["tag"] not in [
"INT"
]:
key = " ".join([node["t"], node["lemma"], node["tag"]])
#print key,"!!!"
errors[key] = errors.get(key, 0) + 1
numerrors += 1
with codecs.open("dm.txt", "w", "utf-8") as outf:
for key in sorted(errors, key=errors.get, reverse=True):
print errors[key], key
outf.write(str(errors[key]) + " " + key + "\n")
print "total of", numerrors, "cases"
outf.write(" ".join(["total of", str(numerrors), "cases"]))
def transform(infolder, outfolder, mixOldNew=True):
createNonExistingFolders(outfolder)
spaceToks = {}
#for infile in sorted(glob.glob(os.path.join(infolder,"test.conll"))):
for infile in sorted(glob.glob(os.path.join(infolder, "*.conll"))):
basename = os.path.basename(infile)
print "reading", basename
trees = conll.conllFile2trees(infile)
newtrees = []
for tree in trees:
if mixOldNew: newtrees += [tree]
newtree = copy.deepcopy(tree)
newtree = platinum(newtree)
newtrees += [newtree]
findSpaces(spaceToks, tree)
conll.trees2conllFile(newtrees,
os.path.join(outfolder, fixOutname(basename)))
#corrdic = correctionDics("corrConll.txt")
#for c in corrdic:
#print c
#qsdf
for i, tok in enumerate(sorted(spaceToks)):
print i, tok, spaceToks[tok]
def dicoTiretsRhapsodie():
dico = {}
trees = conll.conllFile2trees("mate/fr/Rhaps.gold.conll14")
for arbre in trees:
for i, node in arbre.iteritems():
if node["t"][0] == "-":
dico[node["t"]] = dico.get(node["t"], node["tag"])
return dico
def updateParseResult(projectname, conlldirpath, filepattern="*.trees.conll14", annotatorName="parser", removeToGetDB="-one-word-per-line.conll14_parse"): sql = database.SQL(projectname) db,cursor=sql.open() print "updateTrees:",glob(os.path.join(conlldirpath, filepattern)) for filename in glob(os.path.join(conlldirpath, filepattern)): print "entering",filename sentences=conll.conllFile2trees(filename) dbtextname = os.path.basename(filename)[:-len(removeToGetDB)] textid = sql.enter(cursor, "texts",["textname"],(dbtextname,)) if not textid: print "couldn't find the database named",textid return enterNewAnnotation(sql, db,cursor, sentences, textid, annotatorName=annotatorName)
def transform(infolder, outfolder, mixOldNew=True):
createNonExistingFolders(outfolder)
#for infile in sorted(glob.glob(os.path.join(infolder,"test.conll"))):
for infile in sorted(glob.glob(os.path.join(infolder, "*.conll"))):
basename = os.path.basename(infile)
print "reading", basename
trees = conll.conllFile2trees(infile)
newtrees = []
for tree in trees:
if mixOldNew: newtrees += [tree]
newtree = copy.deepcopy(tree)
newtree = platinum(newtree)
newtrees += [newtree]
conll.trees2conllFile(newtrees,
os.path.join(outfolder, fixOutname(basename)))
def tagFuncConfig(infolder,pattern="*conll"):
tags,funcs={},{}
for infilename in glob.glob(os.path.join(infolder, pattern)):
print infilename
allsentences=conll.conllFile2trees(infilename)
for tree in allsentences:
for i in tree.keys():
node = tree[i]
gov = node.get("gov",{}).items()
tag=node.get("tag",None)
if tag: tags[tag]=None
for govid,func in gov:
funcs[func]=None
for tag in sorted(tags):
print tag, '{"fill": "#69399d"}'
for func in sorted(funcs):
print func, '{"stroke": "#000000","stroke-width":"1","stroke-dasharray": ""}'
def transform(infolder, outfolder, mixOldNew=False):
createNonExistingFolders(outfolder)
spaceToks = {}
#for infile in sorted(glob.glob(os.path.join(infolder,"test.conll"))):
for infile in sorted(glob.glob(os.path.join(infolder, "*"))):
if not os.path.isfile(infile): continue
basename = os.path.basename(infile)
print "reading", basename
trees = conll.conllFile2trees(infile)
newtrees = []
for tree in trees:
if mixOldNew: newtrees += [tree]
newtree = copy.deepcopy(tree)
newtree = correct(newtree)
newtrees += [newtree]
conll.trees2conllFile(newtrees,
os.path.join(outfolder, fixOutname(basename)))
def transform(infolder, outfolder, mixOldNew=False):
createNonExistingFolders(outfolder)
corrinst = compil('corrinst.txt')
print len(corrinst), "rules"
for infile in sorted(glob.glob(os.path.join(infolder, "*"))):
if not os.path.isfile(infile): continue
basename = os.path.basename(infile)
print "reading", basename
trees = conll.conllFile2trees(infile)
newtrees = []
for tree in trees:
if mixOldNew: newtrees += [tree]
newtree = copy.deepcopy(tree)
newtree = correct(newtree, corrinst)
newtrees += [newtree]
conll.trees2conllFile(newtrees,
os.path.join(outfolder, fixOutname(basename)))
def search(infolder,fun): goodtrees=[] print "doing", fun.__name__ #try: os.mkdir(outdir) #except OSError: pass for infile in sorted(glob.glob(os.path.join(infolder,"*"))): # .conll if not os.path.isfile(infile): continue basename=os.path.basename(infile) print "reading",basename trees = conll.conllFile2trees(infile) for tree in trees: #if hasVerbalDm(tree): #if isNonProjective(tree): if fun(tree): goodtrees+=[tree] print "found",len(goodtrees) if goodtrees: conll.trees2conllFile(goodtrees,fun.__name__+".conll")
def retokeniser(nomdufichier, path="", addtoout=""):
if not path:
path, _ = os.path.split(
nomdufichier) # take the same path as the nomdufichier
if path and path[-1] != "/": path = path + "/"
trees = conll.conllFile2trees(nomdufichier) # on lit le fichier
print "le fichier", nomdufichier, "a", len(trees), "arbres"
#newtrees, alltrees=[], []
newtrees = []
digitsandnumbers = codecs.open(droporfeo + "lexique/gg", "r",
"utf-8").read().split('\n')
for i, arbre in enumerate(trees): # on boucle sur les arbres
#alltrees+=[copy.deepcopy(arbre)]
#oldtree=copy.deepcopy(arbre)
racines = addinfototree(arbre)
oldtree = copy.deepcopy(arbre)
arbre = corrigerNumerotation(arbre)
arbre = nombresComposes(arbre)
arbre = digits(arbre, digitsandnumbers)
arbre = corrigerArbreCompos(
arbre) # Décomposition des expressions multimots
#for i, node in arbre.items(): # Reconfiguration des enfants
#if node["gov"] == {}:
#print "crap"
arbre = recomposerMultimots(arbre, expressions_multimots)
arbre = corrigerNumerotationSplice(arbre)
arbre = corrigerSegmentationClitiques(arbre, dico_clitiques)
arbre = corrigerInaudibles(arbre)
arbre = corrigerClitiques(arbre)
arbre = retoken(arbre)
if arbre != oldtree:
print i
for ii in arbre:
if arbre[ii] != oldtree.get(ii, None):
print ii, arbre[ii]['t'], arbre[ii], oldtree.get(ii, None)
newtrees.append(arbre)
newname = path + os.path.basename(nomdufichier + addtoout)
conll.trees2conllFile(newtrees, newname, columns=10)
return newname
def addArbitraryPuncs(infolder, outfolder):
createNonExistingFolders(outfolder)
for conllinfile in glob.glob(os.path.join(infolder, '*')):
print conllinfile
trees = conll.conllFile2trees(conllinfile)
for i, tree in enumerate(trees):
m = max(tree)
splitcode = ".,!?;:()"
p = splitcode[i % len(splitcode)]
tree[m + 1] = {
u'tag': u'PUNC',
u'lemma': p,
u't': p,
'gov': {
0: u'punc'
}
}
conll.trees2conllFile(trees,
os.path.join(outfolder,
os.path.basename(conllinfile)),
columns=14)
def conll2phrasestructure(conllinfilename, phrasestructureoutname, args):
beginning = ""
rhaps = False
with codecs.open(conllinfilename, "r", "utf-8") as f:
beginning = f.read(50)
if beginning.startswith("Text ID Tree ID Token ID"): rhaps = True
elif args.orfeo: rhaps = "orfeo"
trees = conll.conllFile2trees(conllinfilename, {"tag": "cat"}, rhaps=rhaps)
#print len(trees),trees[0]
ctrees, xmldoc = makePhraseStructure(trees)
out = codecs.open(phrasestructureoutname, "w", "utf-8")
if args.bracketing:
for ctree in ctrees:
out.write(ctree.pprint() + "\n\n")
elif args.pasteBracketing:
pasteBracketing(trees, ctrees, conllinfilename, out)
elif args.latex:
out.write(startlatex)
for ctree in ctrees:
out.write(
unicode(ctree.pprint_latex_qtree()).replace("#", "\\#") +
"\n\n")
out.write(endlatex)
try:
import subprocess, webbrowser
proc = subprocess.Popen(['pdflatex', phrasestructureoutname])
proc.communicate()
webbrowser.open_new_tab(
os.path.abspath(
".".join(phrasestructureoutname.split(".")[:-1]) + ".pdf"))
except:
print "is pdflatex and qtree installed? try 'sudo apt-get install texlive-humanities'"
else:
out.write(xmldoc.toprettyxml())
out.close()
if args.graphs:
for ctree in ctrees:
ctree.draw()
def degradeConllfile(conllfile, removeFuncs=["para"], removeDeps=0.2):
trees = conll.conllFile2trees(conllfile)
nbgovs = 0
for arbre in trees:
for i, node in arbre.iteritems():
if "gov" in node and node["gov"].keys(
)[0] != -1 and node["gov"].values()[0] not in removeFuncs:
nbgovs += 1
print int(nbgovs * removeDeps)
tobeRemoved = sorted(random.sample(range(nbgovs),
int(nbgovs * removeDeps)))
print nbgovs, tobeRemoved
nbgovs = 0
for arbre in trees:
for i, node in arbre.iteritems():
if "gov" in node and node["gov"].keys(
)[0] != -1 and node["gov"].values()[0] not in removeFuncs:
nbgovs += 1
if nbgovs in tobeRemoved:
node["gov"] = {}
shutil.move(conllfile, conllfile + ".orig")
conll.trees2conllFile(trees, conllfile, columns=10)
def search(infolder):
allLem = lireToutLex()
errors = {}
numerrors = 0
for infile in sorted(glob.glob(os.path.join(infolder, "*"))): # .conll
if not os.path.isfile(infile): continue
basename = os.path.basename(infile)
print "reading", basename
trees = conll.conllFile2trees(infile)
for tree in trees:
#if hasVerbalDm(tree):
#if isNonProjective(tree):
for i, node in tree.iteritems():
#if (node["lemma"] in allLem and node["tag"] in allLem[node["lemma"]]) and node["tag"] not in ["NOM"] and allLem.get(node["lemma"],None):
#pass
##print node["t"],node["lemma"],node["tag"],"ok"
#else:
if node["tag"] in ["NOM"] and node["tag"] not in allLem.get(
node["lemma"], []) and allLem.get(node["lemma"],
[]) == []:
key = " ".join([
node["t"], node["lemma"], node["tag"], "lexique:",
" ".join(
sorted(
set(
allLem.get(node["lemma"],
["pas dans le lexique"]))))
])
#print key,"!!!"
errors[key] = errors.get(key, 0) + 1
numerrors += 1
with codecs.open("problems.txt", "w", "utf-8") as outf:
for key in sorted(errors, key=errors.get, reverse=True):
print errors[key], key
outf.write(str(errors[key]) + " " + key + "\n")
print "total of", numerrors, "errors"
outf.write(" ".join(["total of", str(numerrors), "errors"]))
def split(conllfile, maxi):
trees = conll.conllFile2trees(conllfile)
for j, ts in enumerate(
[trees[i:i + maxi] for i in range(0, len(trees), maxi)]):
conll.trees2conllFile(ts, conllfile + str(j))
def fusionForgottenTrees(project="Platinum",
fusdir="../projects/OrfeoGold2016/platinum/*",
annotators=["admin"]):
"""
takes trees from project ordered by annotators. if they exist fuse them into the fusdir
result has the extension "cool.conll"
,"Sy","Marion"
"""
#print lemmacorrection
sys.path.insert(0, '../tools')
import difflib
outfiles = []
sql = SQL(project)
db, cursor = sql.open()
goodTexts = {}
outdir = os.path.join("..", "projects", project, "exportcool")
try:
os.mkdir(outdir)
except OSError:
pass
for annotator in annotators:
print[
list(
cursor.execute("select rowid from users where user =?;",
(annotator, )))
]
annotatorIds = tuple(a for (a, ) in [
list(
cursor.execute("select rowid from users where user =?;", (
annotator, )))[0] for annotator in annotators
])
print annotators, annotatorIds
for textid, textname, nrtokens in list(
cursor.execute("select rowid, * from texts;")): # for each text
print "\n__________________________doing", textname, "with", nrtokens, "tokens"
nrutids = {}
for nr, userid, treeid in list(
cursor.execute(
"select nr,userid,trees.rowid as treeid from trees, sentences where sentenceid=sentences.rowid and userid in {annotatorIds} and textid = ? order by nr;"
.format(annotatorIds=annotatorIds), (textid, ))):
nrutids[nr] = nrutids.get(nr, {})
nrutids[nr][userid] = treeid
trees = {}
for nr in sorted(nrutids): # for each sentence
tree = None
for aid in annotatorIds: # for each interesting annotator id
if aid in nrutids[nr]:
tree = sql.gettree(treeid=nrutids[nr][aid],
indb=db,
incursor=cursor)["tree"]
trees[nr] = tree
#print "atree:",tree
break
#if not tree:
#print "problem: no tree for nr",nr,"type",type(nr)
#print "annotatorIds",annotatorIds
#raise Exception('no tree', nr)
#print trees
print len(trees), "trees from", project
print textname, textname.split(".")[0]
btextname = os.path.basename(textname).split(".")[0]
if btextname.endswith("-one-word-per-line"):
btextname = btextname[:-len("-one-word-per-line")]
#print glob.glob(fusdir),[os.path.basename(fi).split(".")[0] for fi in glob.glob(fusdir)]
cooltrees = []
ptrees, ftrees = 0, 0
for fi in glob.glob(fusdir):
if btextname == os.path.basename(fi).split(".")[0]:
print "yes", btextname
fustrees = conll.conllFile2trees(fi)
print len(fustrees), "ftrees", fi
for nr, ftree in enumerate(fustrees):
if nr + 1 in trees:
#print "added tree",nr+1,"from database"
#ptree=platinum(trees[nr+1])
ptree = trees[nr + 1]
for iii in ptree:
ptree[iii]["tag2"] = "_"
if ptree[iii]["lemma"] in lemmacorrection:
ptree[iii]["lemma"] = lemmacorrection[
ptree[iii]["lemma"]]
cooltrees += [ptree]
#print nr+1,"tree from",project#,tree
ptrees += 1
if ftree.sentence() != u" ".join(
[ptree[i].get("t", "") for i in sorted(ptree)]):
print "\n_________", nr + 1
print ftree.sentence()
print u" ".join(
[ptree[i].get("t", "") for i in sorted(ptree)])
#for l in difflib.context_diff(ftree.sentence() ,u" ".join([ptree[i].get("t","") for i in sorted(ptree)])):print l
#print "dbtree",platinum(trees[nr+1])
else:
for iii in ftree:
ftree[iii]["tag2"] = "_"
if ftree[iii]["lemma"] in lemmacorrection:
ftree[iii]["lemma"] = lemmacorrection[
ftree[iii]["lemma"]]
#print nr+1,"tree from",fusdir#,tree
ftrees += 1
cooltrees += [ftree]
#print "added tree",nr+1,"from fustrees",fi
outfile = os.path.join(outdir, textname + ".cool.conll")
conll.trees2conllFile(cooltrees, outfile=outfile, columns=10)
print "wrote", outfile
print ptrees, "ptrees, ", ftrees, "ftrees"
break
if len(cooltrees) == 0: print "nothing for", btextname
outfiles += [outfile]
#qsdf
return outfiles
new_trees = list()
for nr, tree in sortable:
# adding metadatas 应该是重命名sent_id,从0开始
tree.sentencefeatures["text"] = tree.sentence()
tree.sentencefeatures["sent_id"] = prefix + "_" + str(nr - 1)
# removing useless metadata
del tree.sentencefeatures["nr"]
new_trees.append(tree)
conll.trees2conllFile(new_trees, outfile)
if __name__ == "__main__":
## Open project database
sql = SQL("NaijaSUD") # 输入project名字
db, cursor = sql.open()
## Use 2 functions :
# - exportLastBestAnnotations in lib/database.py -> writes a file with trees and their rank
# - reorder in lib/yuchen.py -> reorder trees based on their rank, write a file with the output
users, c = sql.exportLastBestAnnotations(
115, "P_ABJ_GWA_06_Ugo-lifestory_PRO"
) # 输入textid和text name，可通过链接https://arborator.ilpga.fr/editor.cgi?project=NaijaSUD&textid=74&opensentence=1看到textid
print(users, c)
fpath = "E:/TAL/Stage/arborator/projects/NaijaSUD/export/P_ABJ_GWA_06_Ugo.lifestory_PRO.most.recent.trees.with.feats.conllu" # 输入导出的文件所在路径
trees = conll.conllFile2trees(fpath) # 重新排序conll树，重命名sent_id
reorder(trees, fpath + "_reordered")
q[i:i + maxiAtOnce] for i in xrange(0, len(q), maxiAtOnce)
]:
res = service.translations().list(source=source,
target=target,
q=wordgroup).execute()
translations += [td["translatedText"] for td in res["translations"]]
return translations
#translate(u"准许 一 位 人士 入境 的 权力".split())
for conllinfile in glob.glob(os.path.join("corpus/conll/", 'CONV*.*')):
print conllinfile
trees = conllFile2trees(conllinfile)
path, base = os.path.split(conllinfile)
translateDic = {}
counter = 0
for tree in trees:
for i, node in tree.iteritems():
node["tag2"] = pinyin.get(node["t"])
translateDic[node["t"]] = None
counter += 1
if not counter % 100: print counter, "trees"
words = sorted(translateDic)
print len(words), "words"
trads = translate(words)
translateDic = dict(zip(words, trads))
print len(translateDic), "translations"
langConllFiles[lcode] = langConllFiles.get(
lcode, []) + [os.path.join(dirpath, f)]
#print langConllFiles
return langConllFiles
conllfiles = getAllConllFiles("../sud-treebanks-v2.4")
#print()
unigrams = {}
bigrams = {}
bigtype = {}
for fi in tqdm.tqdm(conllfiles['ja']):
if "FTB" in fi: continue
print('analyzing', fi)
trees = conll.conllFile2trees(fi)
for tree in trees:
toks = [
tree[i]['t'] for i in sorted(tree.keys())
if tree[i]['tag'] != "PUNCT"
]
for t in toks:
unigrams[t] = unigrams.get(t, 0) + 1
maxtree = max(tree.keys())
for i in sorted(tree):
if i == maxtree: continue
na = tree[i]
nb = tree[i + 1]
a = na['t']
b = nb['t']
def parsing(infile,
lemodel="LemModel",
tagmodel="TagModel",
parsemodel="ParseModel",
outfolder="parses",
memory="4G",
depparse=True,
parserType="graph",
lemmatized=False):
"""
parsing function
TODO: parserType is ignored
"""
print "parsing now i'm at os.getcwd()", os.getcwd(), os.path.dirname(
__file__), __file__
if outfolder[-1] != "/": outfolder = outfolder + "/"
outfile = outfolder + os.path.basename(infile)
anna, lemclass, tagclass, parseclass = getClasses("graph")
#anna = ".:./mate/mate_components/anna-3.3.jar"
#anna = os.path.join(os.path.dirname(__file__), 'mate/mate_components/anna-3.3.jar')
#print anna
#print "/home/kim/Dropbox/programmation/arborator/trunk/tools/mate/mate_components/anna-3.3.jar"
#assert anna=="/home/kim/Dropbox/programmation/arborator/trunk/tools/mate/mate_components/anna-3.3.jar"
#print anna
#anna = "anna-3.3.jar"
#anna = "/home/kim/Dropbox/programmation/arborator/trunk/tools/mate/mate_components/anna-3.3.jar"
#print anna
#lemodel="../platinum.2017-03-26_03:10/models/LemModel"
#print lemodel
#print "/home/kim/Dropbox/programmation/arborator/trunk/tools/mate/platinum.2016-11-29_00:22/models/LemModel"
#assert lemodel=="/home/kim/Dropbox/programmation/arborator/trunk/tools/mate/platinum.2016-11-29_00:22/models/LemModel"
#lemodel="/home/kim/Dropbox/programmation/arborator/trunk/tools/mate/platinum.2016-11-29_00:22/models/LemModel"
#infile="/home/kim/Dropbox/programmation/arborator/trunk/tools/parses/upload.fr.txt.sents.conll"
lemcommand = "java -Xmx{memory} -cp {anna} {lemclass} -model {lemodel} -test {infile} -out {outfile}_lem".format(
memory=memory,
anna=anna,
lemclass=lemclass,
infile=infile,
lemodel=lemodel,
outfile=outfile)
tagcommand = "java -Xmx{memory} -cp {anna} {tagclass} -model {tagmodel} -test {outfile}_lem -out {outfile}_tag".format(
memory=memory,
anna=anna,
tagclass=tagclass,
tagmodel=tagmodel,
outfile=outfile)
parsecommand = "java -Xmx{memory} -cp {anna} {parseclass} -model {parsemodel} -test {outfile}_tag -out {outfile}_parse".format(
memory=memory,
anna=anna,
parseclass=parseclass,
parsemodel=parsemodel,
outfile=outfile)
if lemodel and lemodel[-1] != "/":
if verbose: print "\n\n========== lemmatizing...", lemcommand
p1 = subprocess.Popen(
[lemcommand],
shell=True,
stdout=subprocess.PIPE,
cwd=
'/home/kim/Dropbox/programmation/arborator/trunk/tools/mate/mate_components'
)
out, err = p1.communicate()
if verbose:
print out, err
else:
if lemmatized:
print "copying", outfolder + os.path.basename(
infile), "as lemma file"
shutil.copyfile(outfolder + os.path.basename(infile),
outfolder + os.path.basename(infile) + "_lem")
else:
print "adding toks as lems", outfolder + os.path.basename(infile)
trees = conll.conllFile2trees(infile)
with codecs.open(outfolder + os.path.basename(infile) + "_lem",
"w", "utf-8") as lemf:
for tree in trees:
lemf.write(
newconvert.treeToEmptyConll14Text(tree, lemma=False) +
"\n")
if verbose:
print "\n\n========== tagging...", tagcommand
p1 = subprocess.Popen([tagcommand], shell=True, stdout=subprocess.PIPE)
out, err = p1.communicate()
if verbose: print out, err
if depparse:
if verbose: print "\n\n========== dep analysis...", parsecommand
p1 = subprocess.Popen([parsecommand],
shell=True,
stdout=subprocess.PIPE)
print p1.stdout.read()
if verbose: print "\n\n========== parsed"
#java -Xmx40G -cp mate/mate_components/anna-3.3.jar is2.parser.Parser -model ParseModel -test annotatedCorpora.corr.conll_tag -out naija_parse
#anna = ""
#lemclass = "is2.lemmatizer.Lemmatizer"
#tagclass = "is2.tag.Tagger"
#if lang=="graph":
#parseclass = ""
if checkIntegrity(outfile + '_parse') == False:
print "*********ERROR IN FILE", outfile + "_parse", "Please Try again*********"
return outfile + "_parse"
def trainingEvaluationParsing(project=u"OrfeoGold2016",
parserType="graph",
whoseTrees="validator",
evaluationPercent=10,
additionnalLexicon=None,
resultAnnotator="mate",
getFromFolder=False,
parseDB=False,
memory="40G",
stopOnError=False):
"""
if additionnalLexicon is given, it is joined to the training file for lemmatization and tagging.
change memory here!
todo :
- add function to choose parser type (lang=)
- creer mate.log pour progression (fin = "Ready.")
"""
mateLogs("Begin")
ti = time.time()
if getFromFolder:
parseDB = False # TODO: correct this so that all options are available
parserType = (parserType or "graph")
whoseTrees = whoseTrees or "validator"
evaluationPercent = evaluationPercent or 10
resultAnnotator = resultAnnotator or "mate"
try:
os.chmod("mate/parse.log", 0666) # just in case...
except:
pass
timestamp = datetime.datetime.now().strftime('%Y-%m-%d_%H:%M')
#####
#defining project and creation of saves directories
#####
basepath = createDailyPath("./mate/", project)
if parseDB:
backupbase = backupOldDatabase(project, basepath)
mateLogs(
"A copy of the database has been stored in {backupbase}. Getting validated trees..."
.format(backupbase=backupbase))
traindir = createDirectory(basepath + "training")
modeldir = createDirectory(basepath + "models")
logdir = createDirectory(basepath + "logs")
parsedir = createDirectory(basepath + "parses")
#####
#getting gold trees for training
#####
if getFromFolder: # getFromFolder contains folder name containing only conll files
error = False
goldtrees = []
for infile in glob.glob(os.path.join(getFromFolder, '*')):
if os.path.isfile(infile):
print "reading", infile
gtrees = conll.conllFile2trees(infile)
for tree in gtrees:
problemkeys = []
for i in tree:
for gi in tree[i]["gov"]:
if not 0 <= gi <= len(tree):
print infile
print tree
print "has a problematic governor:", gi
error = True
problemkeys += [i]
for problemk in problemkeys:
del tree[problemk]
goldtrees += gtrees
if error and stopOnError: sys.exit()
else:
goldtrees = trees2train.getValidatedTrees(project, basepath,
whoseTrees)
mateLogs(
u"{nrtrees} validated trees extracted".format(nrtrees=len(goldtrees)))
lemma = None
if goldtrees: # see whether the first token of the first tree has a lemma. if lemma==None: we'll skip lemmatization
lemma = goldtrees[0][sorted(goldtrees[0])[0]].get(
"lemma", None) # just trying to get the first lemma value
if lemma == "_": lemma = None
print "found lemma in first tree:", lemma
#TODO: do something here: double tokens as lemmas for chinese, see function makeTrainTestSets
else:
print "no trees from:", getFromFolder
sys.exit()
print "goldtrees:", len(goldtrees)
#####
#creating trainingfiles
#####
alldeptraining = traindir + "alldeptraining.conll"
conll.trees2conllFile(goldtrees, alldeptraining, columns=14)
traintrees = makeTrainTestSets(traindir,
pattern=os.path.basename(alldeptraining),
train="partialdeptrain.conll",
test="test.conll",
empty="emptytest.conll",
testsize=int(evaluationPercent),
lemma=lemma)
print "traintrees:", len(traintrees)
if additionnalLexicon:
lexicontrees = conll.conllFile2trees(additionnalLexicon)
print "lexicontrees:", len(lexicontrees)
alllemtagtrain = traindir + "alllemtagtrain.conll"
conll.trees2conllFile(goldtrees + lexicontrees,
alllemtagtrain,
columns=14)
partiallemtagtrain = traindir + "partiallemtagtrain.conll"
conll.trees2conllFile(traintrees + lexicontrees,
partiallemtagtrain,
columns=14)
else:
alllemtagtrain = alldeptraining
partiallemtagtrain = traindir + "partialdeptrain.conll"
#creating files used for evaluation
#if isinstance(evaluationPercent, str): evaluationPercent = int(evaluationPercent)
mateLogs("trainfiles created")
if verbose:
print "just testing whether i can load them..."
conll.conllFile2trees(traindir + "partialdeptrain.conll")
conll.conllFile2trees(traindir + "emptytest.conll")
conll.conllFile2trees(traindir + "test.conll")
mateLogs("training of partial tree file for evaluation... ====")
lemodelpartial, tagmodelpartial, parsemodelpartial = makeTrainingModels(
basepath,
lemtagin=partiallemtagtrain,
depin=traindir + "partialdeptrain.conll",
outfolder=modeldir,
memory=memory,
testfile=traindir + "emptytest.conll",
evalfile=traindir + "test.conll",
lemma=lemma,
parserType=parserType)
mateLogs("evaluation...")
#evaluation
evaluFileName = detailedEvaluation(parserType=parserType,
memory=memory,
testfile=traindir +
"emptytest.conll_parse",
evalfile=traindir + "test.conll",
path=logdir,
evaluationPercent=evaluationPercent)
evalu = unicode(evaluFileName) + "\n"
with codecs.open(evaluFileName, "r", "utf-8") as f:
evalu += f.read()
#full training
mateLogs("training of full tree file for parsing... ====")
lemodel, tagmodel, parsemodel = makeTrainingModels(basepath,
lemtagin=alllemtagtrain,
depin=alldeptraining,
outfolder=modeldir,
memory=memory,
lemma=lemma,
parserType=parserType)
#getting texts to parse
mateLogs(
"training and evaluation complete. Starting the parse...\n\n{evalu}".
format(evalu=evalu))
#filenames=getTextsForParsing.main(project, parsedir)
if parseDB:
filenames = getTextsForParsing.extractConllFiles(project, parsedir)
#parsing
for infile in filenames:
#mateLogs("Training and evaluation complete. Starting the parse of {infile}\n\n{evalu}".format(infile=infile, evalu=evalu))
mateLogs(
"Training and evaluation complete. Starting the parse of {}\n\n"
.format(infile))
parsedfile = parsing(infile,
lemodel=lemodel,
tagmodel=tagmodel,
parsemodel=parsemodel,
outfolder=parsedir,
parserType=parserType,
memory=memory)
#update on base
newname = os.path.basename(parsedfile)
updateTrees.updateParseResult(project,
parsedir,
filepattern=newname,
annotatorName=resultAnnotator,
removeToGetDB="_parse")
# make it easy for everyone to erase all this stuff:
for root, dirs, files in os.walk(basepath):
for momo in dirs:
try:
os.chmod(os.path.join(root, momo), 0777)
except:
pass
for momo in files:
try:
os.chmod(os.path.join(root, momo), 0666)
except:
pass
totaltime = (time.time() - ti) / 60
mateLogs(
"Ready. It took {totaltime} minutes for the whole process\n\n{evalu}".
format(totaltime=round(totaltime, 1), evalu=evalu))
def parsing(infile,
lemodel="LemModel",
tagmodel="TagModel",
parsemodel="ParseModel",
outfolder="parses",
memory="4G",
depparse=True,
parserType="graph",
lemmatized=False):
"""
parsing function
TODO: parserType is ignored
"""
if outfolder[-1] != "/": outfolder = outfolder + "/"
outfile = outfolder + os.path.basename(infile)
anna, lemclass, tagclass, parseclass = getClasses("graph")
lemcommand = "java -Xmx{memory} -cp {anna} {lemclass} -model {lemodel} -test {infile} -out {outfile}_lem".format(
memory=memory,
anna=anna,
lemclass=lemclass,
infile=infile,
lemodel=lemodel,
outfile=outfile)
tagcommand = "java -Xmx{memory} -cp {anna} {tagclass} -model {tagmodel} -test {outfile}_lem -out {outfile}_tag".format(
memory=memory,
anna=anna,
tagclass=tagclass,
tagmodel=tagmodel,
outfile=outfile)
parsecommand = "java -Xmx{memory} -cp {anna} {parseclass} -model {parsemodel} -test {outfile}_tag -out {outfile}_parse".format(
memory=memory,
anna=anna,
parseclass=parseclass,
parsemodel=parsemodel,
outfile=outfile)
if lemodel and lemodel[-1] != "/":
if verbose: print "\n\n========== lemmatizing...", lemcommand
p1 = subprocess.Popen([lemcommand], shell=True, stdout=subprocess.PIPE)
out, err = p1.communicate()
if verbose:
print out, err
else:
if lemmatized:
print "copying", outfolder + os.path.basename(
infile), "as lemma file"
shutil.copyfile(outfolder + os.path.basename(infile),
outfolder + os.path.basename(infile) + "_lem")
else:
print "adding toks as lems", outfolder + os.path.basename(infile)
trees = conll.conllFile2trees(infile)
with codecs.open(outfolder + os.path.basename(infile) + "_lem",
"w", "utf-8") as lemf:
for tree in trees:
lemf.write(
newconvert.treeToEmptyConll14Text(tree, lemma=False) +
"\n")
if verbose:
print "\n\n========== tagging...", tagcommand
p1 = subprocess.Popen([tagcommand], shell=True, stdout=subprocess.PIPE)
out, err = p1.communicate()
if verbose: print out, err
if depparse:
if verbose: print "\n\n========== dep analysis...", parsecommand
p1 = subprocess.Popen([parsecommand],
shell=True,
stdout=subprocess.PIPE)
print p1.stdout.read()
if verbose: print "\n\n========== parsed"
if checkIntegrity(outfile + '_parse') == False:
print "*********ERROR IN FILE", outfile + "_parse", "Please Try again*********"
return outfile + "_parse"