Grammalecte  Check-in [e5f3698eb4]

Overview
Comment:[core] dawg: compressed lexicon
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SHA3-256: e5f3698eb421d38fb5422cc0f98de270c6476f13ce949d9b0768009bbc530fe2
User & Date: olr on 2017-06-23 17:11:10
Other Links: manifest | tags
Context
2017-06-23
17:25
[core] str_transform: change functions names check-in: 766f20e23c user: olr tags: trunk, core
17:11
[core] dawg: compressed lexicon check-in: e5f3698eb4 user: olr tags: trunk, build, new_feature
14:43
[core] dawg: accept personal lexicon check-in: 3916c538b5 user: olr tags: trunk, core, new_feature
Changes
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Modified gc_core/py/dawg.py from [a30caaeab0] to [7e6ed7295c].

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import collections

from . import str_transform as st
from .progressbar import ProgressBar


def readFile (spf):

    if os.path.isfile(spf):
        with open(spf, "r", encoding="utf-8") as hSrc:
            for sLine in hSrc:
                sLine = sLine.strip()
                if sLine and not sLine.startswith("#"):
                    yield sLine
    else:
        raise OSError("# Error. File not found or not loadable: " + spf)


def getElemsFromFile (spf, bCompressedDic=False):

    nErr = 0
    if not bCompressedDic:
        for sLine in readFile(spf):
            try:
                sFlex, sStem, sTag = sLine.split("\t")
                yield (sFlex, sStem, sTag)
            except:
                nErr += 1
    else:
        sTag = ":_" # neutral tag

        for sLine in readFile(spf):
            if sLine.startswith("[") and sLine.endswith("]"):



                sTag = sLine[1:-1]


                continue



            else:




                if "\t" in sLine:
                    if sLine.count("\t") > 1:
                        nErr += 1
                        continue
                    sFlex, sStem = sLine.split("\t")
                else:
                    sFlex = sStem = sLine

                yield (sFlex, sStem, sTag)




    if nErr:
        print(" # Lines ignored: {:>10}".format(nErr))



class DAWG:
    """DIRECT ACYCLIC WORD GRAPH"""
    # This code is inspired from Steve Hanov’s DAWG, 2011. (http://stevehanov.ca/blog/index.php?id=115)
    # We store suffix/affix codes and tags within the graph after the “real” word.
    # A word is a list of numbers [ c1, c2, c3 . . . cN, iAffix, iTags]
    # Each arc is an index in self.lArcVal, where are stored characters, suffix/affix codes for stemming and tags.
    # Important: As usual, the last node (after ‘iTags’) is tagged final, AND the node after ‘cN’ is ALSO tagged final.

    def __init__ (self, spfSrc, sLangName, cStemming, bCompressedDic=False):
        print("===== Direct Acyclic Word Graph - Minimal Acyclic Finite State Automaton =====")
        cStemming = cStemming.upper()
        if cStemming == "A":
            funcStemmingGen = st.defineAffixCode
        elif cStemming == "S":
            funcStemmingGen = st.defineSuffixCode
        elif cStemming == "N":
            funcStemmingGen = st.noStemming
        else:
            raise ValueError("# Error. Unknown stemming code: {}".format(cStemming))

        lEntry = []
        lChar = ['']; dChar = {}; nChar = 1; dCharOccur = {}
        lAff  = [];   dAff  = {}; nAff  = 0; dAffOccur = {}
        lTag  = [];   dTag  = {}; nTag  = 0; dTagOccur = {}
        nErr = 0
        
        # read lexicon
        for sFlex, sStem, sTag in getElemsFromFile(spfSrc, bCompressedDic):
            # chars
            for c in sFlex:
                if c not in dChar:
                    dChar[c] = nChar
                    lChar.append(c)
                    nChar += 1
                dCharOccur[c] = dCharOccur.get(c, 0) + 1








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import collections

from . import str_transform as st
from .progressbar import ProgressBar


def readFile (spf):
    print("Read lexicon: " + spf)
    if os.path.isfile(spf):
        with open(spf, "r", encoding="utf-8") as hSrc:
            for sLine in hSrc:
                sLine = sLine.strip()
                if sLine and not sLine.startswith("#"):
                    yield sLine
    else:
        raise OSError("# Error. File not found or not loadable: " + spf)


def getElemsFromFile (spf):
    "returns tuple of (flexion, stem, tags) from lexicon file"
    nErr = 0
    if not spf.endswith(".clex"):
        for sLine in readFile(spf):
            try:
                sFlex, sStem, sTag = sLine.split("\t")
                yield (sFlex, sStem, sTag)
            except:
                nErr += 1
    else:
        sTag = "_" # neutral tag
        sTag2 = ""
        for sLine in readFile(spf):
            if sLine.startswith("[") and sLine.endswith("]"):
                # tag line
                if "-->" in sLine:
                    try:
                        sTag, sSfxCode, sTag2 = sLine[1:-1].split(" --> ")
                    except:
                        nErr += 1
                        continue
                    sTag = sTag.strip()
                    sSfxCode = sSfxCode.strip()
                    sTag2 = sTag2.strip()
                else:
                    sTag = sLine[1:-1]
                    sTag2 = ""
            else:
                # entry line
                if "\t" in sLine:
                    if sLine.count("\t") > 1:
                        nErr += 1
                        continue
                    sFlex, sStem = sLine.split("\t")
                else:
                    sFlex = sStem = sLine
                #print(sFlex, sStem, sTag)
                yield (sFlex, sStem, sTag)
                if sTag2:
                    sFlex2 = st.getStemFromSuffixCode(sFlex, sSfxCode)
                    #print(sFlex2, sStem, sTag2)
                    yield (sFlex2, sStem, sTag2)
    if nErr:
        print(" # Lines ignored: {:>10}".format(nErr))



class DAWG:
    """DIRECT ACYCLIC WORD GRAPH"""
    # This code is inspired from Steve Hanov’s DAWG, 2011. (http://stevehanov.ca/blog/index.php?id=115)
    # We store suffix/affix codes and tags within the graph after the “real” word.
    # A word is a list of numbers [ c1, c2, c3 . . . cN, iAffix, iTags]
    # Each arc is an index in self.lArcVal, where are stored characters, suffix/affix codes for stemming and tags.
    # Important: As usual, the last node (after ‘iTags’) is tagged final, AND the node after ‘cN’ is ALSO tagged final.

    def __init__ (self, spfSrc, sLangName, cStemming):
        print("===== Direct Acyclic Word Graph - Minimal Acyclic Finite State Automaton =====")
        cStemming = cStemming.upper()
        if cStemming == "A":
            funcStemmingGen = st.defineAffixCode
        elif cStemming == "S":
            funcStemmingGen = st.defineSuffixCode
        elif cStemming == "N":
            funcStemmingGen = st.noStemming
        else:
            raise ValueError("# Error. Unknown stemming code: {}".format(cStemming))

        lEntry = []
        lChar = ['']; dChar = {}; nChar = 1; dCharOccur = {}
        lAff  = [];   dAff  = {}; nAff  = 0; dAffOccur = {}
        lTag  = [];   dTag  = {}; nTag  = 0; dTagOccur = {}
        nErr = 0
        
        # read lexicon
        for sFlex, sStem, sTag in getElemsFromFile(spfSrc):
            # chars
            for c in sFlex:
                if c not in dChar:
                    dChar[c] = nChar
                    lChar.append(c)
                    nChar += 1
                dCharOccur[c] = dCharOccur.get(c, 0) + 1
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