Grammalecte  Check-in [69affb5433]

Overview
Comment:[build][fr] include lemmas of words that are also verbal forms
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Timelines: family | ancestors | descendants | both | trunk | fr | build
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SHA3-256: 69affb5433f7262264ef8fb1b67470638826884c1311ec51cf0ed03f3a579ceb
User & Date: olr on 2021-02-15 13:46:17
Other Links: manifest | tags
Context
2021-02-15
16:32
[core][fr] fix text formtatter check-in: f069a117e4 user: olr tags: trunk, fr, core
13:46
[build][fr] include lemmas of words that are also verbal forms check-in: 69affb5433 user: olr tags: trunk, fr, build
13:32
[fr] +1 test check-in: 160407dd67 user: olr tags: trunk, fr
Changes
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Modified gc_lang/fr/build_data.py from [94a1ff7b31] to [5e658c4d18].

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    # read lexicon
    nStop = 0
    for n, sLine in enumerate(readFile(sp+"/data/dictConj.txt")):
        nTab = sLine.count("\t")
        if nTab == 1:
            # new entry
            sLemma, sVinfo = sLine.split("\t")
            dConj = {   ":P": { ":P": "" },
                        ":Q": { ":m:s": "", ":f:s": "", ":m:p": "", ":f:p": "" },
                        ":Ip": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "", ":1ś": "" },
                        ":Iq": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":Is": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":If": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":K":  { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":Sp": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "", ":1ś": "" },
                        ":Sq": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "", ":1ś": "" },
                        ":E":  { ":2s": "", ":1p": "", ":2p": "" }
                    }
            if sVinfo not in lVinfo:
                dVinfo[sVinfo] = nVinfo
                lVinfo.append(sVinfo)
                nVinfo += 1
            # looking for names derivating from verb
            for sMorph in oDict.getMorph(sLemma):
                if ":N" in sMorph:
                    dVerbNames[sLemma] = { sLemma }
                    break
        elif nTab == 2:
            # flexion
            _, sTag, sFlex = sLine.split("\t")
            if sTag.count(" ") == 0:
                if sTag == "ppre":
                    dConj[":P"][":P"] = defineSuffixCode(sLemma, sFlex)
            else:
                try:
                    mode, g = sTag.split(maxsplit=1)
                    mode = dTrad[mode]
                    g = dTrad[g]
                    if dConj[mode][g] == "":
                        dConj[mode][g] = defineSuffixCode(sLemma, sFlex)
                    else:
                        # comment gérer les autres graphies ?
                        pass
                except:
                    echo(sLemma, " - ", sTag, " - non géré: ", mode, " / ", g)
            # looking for names derivating from verb
            for sMorph in oDict.getMorph(sFlex):
                if ":N" in sMorph:
                    if sLemma not in dVerbNames:
                        dVerbNames[sLemma] = { sFlex }
                    else:
                        dVerbNames[sLemma].add(sFlex)

                    break

        elif sLine == "$":
            # we store the dictionary of rules for this lemma
            if dConj[":Ip"][":1ś"] == "2è":
                dConj[":Ip"][":1ś"] = "2é"
            elif sLemma == "pouvoir":
                dConj[":Ip"][":1ś"] = "6uis"
            lConjTags = []
            for sTense in [":P", ":Q", ":Ip", ":Iq", ":Is", ":If", ":K", ":Sp", ":Sq", ":E"]:
                bFound = False
                for i, d in enumerate(dPatternList[sTense]):
                    if dConj[sTense] == d:
                        bFound = True
                        lConjTags.append(i)
                        break
                if not bFound:
                    lConjTags.append(len(dPatternList[sTense]))
                    dPatternList[sTense].append(dConj[sTense])
            tConjTags = tuple(lConjTags)
            if tConjTags not in lTags:
                dTags[tConjTags] = nTags
                lTags.append(tConjTags)
                nTags += 1
            dVerb[sLemma] = (dVinfo[sVinfo], dTags[tConjTags])
        else:
            print("# Error - unknown line", n)

    for sLemma, aNames in dVerbNames.items():
        dVerbNames[sLemma] = tuple(aNames)  # convert set to tuple

    ## write file for Python
    sCode = "## generated data (do not edit)\n\n" + \
            "# Informations about verbs\n" + \
            "lVtyp = " + str(lVinfo) + "\n\n" + \
            "# indexes of tenses in _dPatternConj\n" + \
            "lTags = " + str(lTags) + "\n\n" + \








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    # read lexicon
    nStop = 0
    for n, sLine in enumerate(readFile(sp+"/data/dictConj.txt")):
        nTab = sLine.count("\t")
        if nTab == 1:
            # new entry
            sInfi, sVinfo = sLine.split("\t")
            dConj = {   ":P": { ":P": "" },
                        ":Q": { ":m:s": "", ":f:s": "", ":m:p": "", ":f:p": "" },
                        ":Ip": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "", ":1ś": "" },
                        ":Iq": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":Is": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":If": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":K":  { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":Sp": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "", ":1ś": "" },
                        ":Sq": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "", ":1ś": "" },
                        ":E":  { ":2s": "", ":1p": "", ":2p": "" }
                    }
            if sVinfo not in lVinfo:
                dVinfo[sVinfo] = nVinfo
                lVinfo.append(sVinfo)
                nVinfo += 1
            # looking for names derivating from verb
            for sMorph in oDict.getMorph(sInfi):
                if ":N" in sMorph:
                    dVerbNames[sInfi] = { sInfi }
                    break
        elif nTab == 2:
            # flexion
            _, sTag, sFlex = sLine.split("\t")
            if sTag.count(" ") == 0:
                if sTag == "ppre":
                    dConj[":P"][":P"] = defineSuffixCode(sInfi, sFlex)
            else:
                try:
                    mode, g = sTag.split(maxsplit=1)
                    mode = dTrad[mode]
                    g = dTrad[g]
                    if dConj[mode][g] == "":
                        dConj[mode][g] = defineSuffixCode(sInfi, sFlex)
                    else:
                        # comment gérer les autres graphies ?
                        pass
                except:
                    echo(sInfi, " - ", sTag, " - non géré: ", mode, " / ", g)
            # looking for names derivating from verb
            for sMorph in oDict.getMorph(sFlex):
                if ":N" in sMorph:
                    if sInfi not in dVerbNames:
                        dVerbNames[sInfi] = set()

                    dVerbNames[sInfi].add(sFlex)
                    sLemma = sMorph[1:sMorph.find("/")]
                    if sFlex != sLemma:
                        dVerbNames[sInfi].add(sLemma)
        elif sLine == "$":
            # we store the dictionary of rules for this lemma
            if dConj[":Ip"][":1ś"] == "2è":
                dConj[":Ip"][":1ś"] = "2é"
            elif sInfi == "pouvoir":
                dConj[":Ip"][":1ś"] = "6uis"
            lConjTags = []
            for sTense in [":P", ":Q", ":Ip", ":Iq", ":Is", ":If", ":K", ":Sp", ":Sq", ":E"]:
                bFound = False
                for i, d in enumerate(dPatternList[sTense]):
                    if dConj[sTense] == d:
                        bFound = True
                        lConjTags.append(i)
                        break
                if not bFound:
                    lConjTags.append(len(dPatternList[sTense]))
                    dPatternList[sTense].append(dConj[sTense])
            tConjTags = tuple(lConjTags)
            if tConjTags not in lTags:
                dTags[tConjTags] = nTags
                lTags.append(tConjTags)
                nTags += 1
            dVerb[sInfi] = (dVinfo[sVinfo], dTags[tConjTags])
        else:
            print("# Error - unknown line", n)

    for sInfi, aNames in dVerbNames.items():
        dVerbNames[sInfi] = tuple(aNames)  # convert set to tuple

    ## write file for Python
    sCode = "## generated data (do not edit)\n\n" + \
            "# Informations about verbs\n" + \
            "lVtyp = " + str(lVinfo) + "\n\n" + \
            "# indexes of tenses in _dPatternConj\n" + \
            "lTags = " + str(lTags) + "\n\n" + \
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        ## write file for JavaScript
        sCode = "{\n" + \
                '    "dWord": ' + json.dumps(dWord, ensure_ascii=False) + ",\n" + \
                '    "lSet": ' + json.dumps(lSet, ensure_ascii=False) + ",\n" + \
                '    "dMorph": ' + json.dumps(dMorph, ensure_ascii=False) + "\n}"
        open(sp+"/modules-js/phonet_data.json", "w", encoding="utf-8", newline="\n").write(sCode)


def makeLocutions (sp, bJS=False):
    "compile list of locutions in JSON"
    print("> Locutions ", end="")
    print("(Python et JavaScript)"  if bJS  else "(Python seulement)")
    dLocGraph = {}
    oTokenizer = tkz.Tokenizer("fr")
    for sLine in itertools.chain(readFile(sp+"/data/locutions_adverbiales.txt"), \
                                 readFile(sp+"/data/locutions_prépositives.txt"), \
                                 readFile(sp+"/data/locutions_conjonctives.txt"), \
                                 readFile(sp+"/data/locutions_pronominales.txt"), \
                                 readFile(sp+"/data/locutions_adjectivales.txt"), \
                                 readFile(sp+"/data/locutions_interjectives.txt"), \
                                 readFile(sp+"/data/locutions_nominales.txt"), \
                                 readFile(sp+"/data/locutions_verbales.txt")):
        dCur = dLocGraph
        sLoc, sTag = sLine.split("\t")
        for oToken in oTokenizer.genTokens(sLoc.strip()):
            sWord = oToken["sValue"]
            if sWord not in dCur:
                dCur[sWord] = {}
            dCur = dCur[sWord]
        dCur["_:_"] = sTag

    sCode = "# generated data (do not edit)\n\n" + \
            "dLocutions = " + str(dLocGraph) + "\n"
    open(sp+"/modules/locutions_data.py", "w", encoding="utf-8", newline="\n").write(sCode)
    if bJS:
        open(sp+"/modules-js/locutions_data.json", "w", encoding="utf-8", newline="\n").write(json.dumps(dLocGraph, ensure_ascii=False))


def before (spLaunch, dVars, bJS=False):
    print("========== Build Hunspell dictionaries ==========")
    makeDictionaries(spLaunch, dVars['oxt_version'])


def after (spLaunch, dVars, bJS=False):
    print("========== Build French data ==========")
    makeMfsp(spLaunch, bJS)
    makeConj(spLaunch, bJS)
    makePhonetTable(spLaunch, bJS)
    #makeLocutions(spLaunch, bJS)








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        ## write file for JavaScript
        sCode = "{\n" + \
                '    "dWord": ' + json.dumps(dWord, ensure_ascii=False) + ",\n" + \
                '    "lSet": ' + json.dumps(lSet, ensure_ascii=False) + ",\n" + \
                '    "dMorph": ' + json.dumps(dMorph, ensure_ascii=False) + "\n}"
        open(sp+"/modules-js/phonet_data.json", "w", encoding="utf-8", newline="\n").write(sCode)
































def before (spLaunch, dVars, bJS=False):
    print("========== Build Hunspell dictionaries ==========")
    makeDictionaries(spLaunch, dVars['oxt_version'])


def after (spLaunch, dVars, bJS=False):
    print("========== Build French data ==========")
    makeMfsp(spLaunch, bJS)
    makeConj(spLaunch, bJS)
    makePhonetTable(spLaunch, bJS)

Modified gc_lang/fr/modules/conj_data.py from [17f0d4c069] to [8bdfafb3cd].

cannot compute difference between binary files

Modified gc_lang/fr/modules/phonet_data.py from [7fb8239e70] to [16ca1dac13].

cannot compute difference between binary files

Modified gc_lang/fr/rules.grx from [b7b290a56f] to [2b9fcab6e4].

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__conf_de_vconj__
    [de|d’]  @:[123][sp]¬:[GNA]
        <<- /conf/ not \2.istitle() and not \2.isupper() and not value(\2, "|jure|") and not tag(\2, "eg1mot")
        -2>> =suggSimil(\2, ":[NA]", True)+"|"+suggVerbInfi(\2)                                     && Incohérence avec « \1 » : “\2” est une forme verbale conjuguée.

TEST: il s’agit de {{mette}} en évidence.                                                           ->> mettre|mets|mise|mises|misses|missions
TEST: sa façon de {{nettoyez}} était inefficace.                                                    ->> nettoyer|nettoyant


    [de|d’]  [l’|leur]  @:[123][sp]¬:[GNAQ]
        <<- /conf/ not \3.istitle() and not \3.isupper() -3>> =suggSimil(\3, ":[NA].*:[si]", True)  && Incohérence avec « \1 \2 » : “\3” est une forme verbale conjuguée.

TEST: de l’{{arrivait}}                                                                             ->> arrivée|arrivant








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__conf_de_vconj__
    [de|d’]  @:[123][sp]¬:[GNA]
        <<- /conf/ not \2.istitle() and not \2.isupper() and not value(\2, "|jure|") and not tag(\2, "eg1mot")
        -2>> =suggSimil(\2, ":[NA]", True)+"|"+suggVerbInfi(\2)                                     && Incohérence avec « \1 » : “\2” est une forme verbale conjuguée.

TEST: il s’agit de {{mette}} en évidence.                                                           ->> mettre|mets|mise|mises|miss|misses|mission|missions
TEST: sa façon de {{nettoyez}} était inefficace.                                                    ->> nettoyer|nettoyant


    [de|d’]  [l’|leur]  @:[123][sp]¬:[GNAQ]
        <<- /conf/ not \3.istitle() and not \3.isupper() -3>> =suggSimil(\3, ":[NA].*:[si]", True)  && Incohérence avec « \1 \2 » : “\3” est une forme verbale conjuguée.

TEST: de l’{{arrivait}}                                                                             ->> arrivée|arrivant
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Fossil 2.20 [210e89a059] 2022-11-16 18:46:32
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