mò m_yFc@sçdZdklZdklZdkZd„Zd„Zd„Zdd„Z d „Z d „Z d „Z d „Z d „Zded„Zd„Zd„Zd„Zd„Zd„Zd„Zd„Zedjo eƒndS(sk OVERVIEW # Important data structures: # - Dictionary with words as keys, and lists tuples (amount, framehash) as # values eg. associations['ball'] = [ (0.45, _frameXYZ), (0.33, _frameABC), ... ] # - Dictionary with framehashes as keys, and the real frames as values frameindex[hash1234] = _frameXYZ #Initialization functions readcorpus() parseutterances() #Print functions printframe() printprop() printsituation() frametostring() # create a unique, sorted string #Learn Functions createsubframes() <-- formerly known as 'abstractions' associate() <-- formerly known as 'speech' #Test Functions done in main? (sminidom(sstdinNc CsdGHtidƒi} t| ƒ\}}dGtiƒ}xÄ|i ƒD]¶}||još||}|GHg}|D]}||||fqs~}|idtƒxVt|d ƒD]7\}} dG|dGdG| d GHt|| dƒq´WqF|Gd GHqFW| iƒd S( sw then read words from stdin and find matching frames (if this file is not called directly, main() will be ignored). s÷Language Acquisition, one-word model. 2nd Year project UvA 2007 This program is not distributed in the hope that it will be useful, so WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. s corpus.xmls Talk to me: treverseitmatchisscore:isnot in corpus.N(tminidomtparsetdocumentElementtxmldoctonewordt associationst frameindextstdintreadlinettexttsplittwordtdatat_[1]tfhashtlisttsorttTruet enumeratetiRt printframetunlink( RR RR RRRRRRR((t#/home/andreas/ai/2p/laac/oneword.pytmain#s(    +   cCs–dGH|idƒ}hh}}dGHxB|D]:}t||ƒ}t||ƒ}t |||ddƒq-WdGHt |t |ƒt |ƒƒ||fS(sŸ parse corpus and generate derived frames, parameter: use: xmldoc = minidom.parse("corpus.xml").documentElement return: a tuple (associations, frameindex) soneword: Reading corpus data..t situationsoneword: Analyzing situations..tmethodisoneword: Correcting scores..N( RtgetElementsByTagNamet situationsRRtsittparseutterancest utterancestderivemeaningstmeaningst associatetcorrectassociationstlen(RRR"R RRR((RRGs c scd„‰‡‡‡d†‰tiƒ‰yt|ƒiƒ}Wnt j o |}nXˆi dƒ}|i |i ddƒƒˆi dƒ}|iddƒyB|i t|ƒi ddƒƒ|i t|ƒi ddƒƒWnt j onXˆi dƒ}|i |ƒ||g}|iˆ|ƒƒ|iˆ|ƒƒ|ˆ|ƒ7}t||ƒS( s= for a given situation, return a list of derived meanings. cCsÎ|iddƒ}y#tt|ƒiƒƒid}Wntj o gSnXt t|ƒiƒƒid}t t|ƒiƒƒi |iddƒ|ƒt|ƒiƒi tt|ƒiƒƒƒ|gS(sq try to rename abstraction to an id element and delete the old id element, otherwise return an empty list. tdeepiiN( tframet cloneNodetaframetabsttframestnextt childNodestat StopIterationtidtbt replaceChildt removeChild(R'R.R1R)((Rtabstractiontoidbs# .+csg}x®t|ƒD] }ˆidƒ}|i|iddƒƒ}|i ddƒx-t |ƒD]}|i|iddƒƒq`W|i ˆ|ƒƒ|i|ƒ|ˆ|ƒ7}qWxIt |ƒD];}ˆidƒ}|i|iddƒƒ|i|ƒqÄW|S(s) recursively generate derived frames tmeaningR&itnametsubN(t solutionsR+R'R.tKreatort createElementtnewframet appendChildR(R7t setAttributet propertiesR1textendR4tappendtrecursiveframes(R'R.R1R7R8R;(RAR4R9(RRAqs&    R5R&iR'R6tactionN(R4RARtDocumentR9R+RR,t originalframeR/R:t fullmeaningR<R(t emptyframeR=R0R*t emptymeaningR8R?t makehashesR( RRRERGRFRDR4R8RAR9((R4RAR9RR!^s0   #  icCs®x§|D]Ÿ}xE|D]=}|||jod|||x;||D]+}||jo|||cd8 0 unrelated frames will have their associations decreased. iiiN(R R.R"R1RR(R R"RRR.R1((RR#Ÿs   cCsuxn|iƒD]`\}}tg}|D]}|||q'~ƒ}x&|D]}t||ƒ|||tpropsRR.tsortedR+RdRW(R'RkRlR.RiRmRj((RRds8   .2  cCstt|dtƒƒS(sÄ generate a hash value of a frame, by converting it to a string representation and hashing that. The conversion is used to do a "deep" conversion, instead of just comparing object references. RlN(thashRdR'R(R'((RRK6scCstd|ƒiƒS(NR0(telementiteratorR'R,(R'((RR0>scCstd|ƒiƒS(Nt abstraction(RpR'R,(R'((RR*@scCs td|ƒS(NR'(RpR'(R'((RR+CscCs td|ƒS(Ntprop(RpR'(R'((RR>Esccs,x%td|ƒD]}|idiVqWdS(s+ return utterances as strings (hacky code) R_iN(RpR'R.R-R(R'R.((RRXGsccs0x)|iD]}|i|jo|Vq q WdS(s7 iterator over elements with a specific tag in a frame N(R'R-R.Rattag(RsR'R.((RRpMs  t__main__(t__doc__txml.domRtsysR tmathRRR!R#R$RRHRbRRhRdRKR0R*R+R>RXRpt__name__(RRXR+RpR0R!RRRRxR*RdR#RKR>RR$R RHRb((RRQs,    $  A   +  &