Example #1
0
def w_question(analysis):
    """
    verbalises a w_question                                            
    Input=class sentence                              Output=sentence                
    """
    if analysis.sv:
        #Opinion is a what question so we have to make some changes
        if analysis.sv[0].vrb_main[0].endswith('like'):
            verb = analysis.sv[0].vrb_main[0]
            analysis.sv[0].vrb_main[0] = verb[:len(verb) - 4] + 'think+of'

    #processing as yes or no question
    phrase = y_o_question(analysis)

    #Specific processing for invitation
    if analysis.aim == 'invitation':
        return ['how', 'about'] + phrase[1:]

    #Specific processing for classification
    if analysis.aim.startswith('classification'):
        aim_question = other_functions.list_rebuilding(analysis.aim)
        return ['what', 'kind', 'of'] + aim_question[1:] + phrase

    #It is an how question
    if other_functions.is_an_adj(analysis.aim) == 1:
        return ['how'] + [analysis.aim] + phrase
    elif analysis.aim == 'manner':
        return ['how'] + phrase

    if analysis.aim == 'thing' or analysis.aim == 'situation' or analysis.aim == 'explication' or analysis.aim == 'opinion':
        return ['what'] + phrase
    return ['what'] + [analysis.aim] + phrase
Example #2
0
def scd_vrb_rebuilding(sec_vrb, phrase, flg):
    """
    recovers the part of the second verb                                 
    Input=class sentence, phrase and a flag                       
    Output=phrase                                                    
    """

    if flg == 1:
        phrase = phrase + sec_vrb.vrb_adv + other_functions.list_rebuilding(
            sec_vrb.vrb_main[0])
    else:
        #Add this verb with 'to'
        phrase = phrase + [
            'to'
        ] + sec_vrb.vrb_adv + other_functions.list_rebuilding(
            sec_vrb.vrb_main[0])

    #We add the direct and indirect complement
    if sec_vrb.i_cmpl != [] and sec_vrb.i_cmpl[0].prep != []:
        phrase = phrase + nom_struc_rebuilding(sec_vrb.d_obj)
        for x in sec_vrb.i_cmpl:
            phrase = phrase + indirect_compl_rebuilding(x)
    else:
        if sec_vrb.i_cmpl:
            phrase = phrase + indirect_compl_rebuilding(sec_vrb.i_cmpl[0])
        phrase = phrase + nom_struc_rebuilding(sec_vrb.d_obj)
        #init
        x = 1
        while x < len(sec_vrb.i_cmpl):
            phrase = phrase + indirect_compl_rebuilding(sec_vrb.i_cmpl[x])
            x += 1

    flag = 0
    for j in ResourcePool().verb_need_to:
        if sec_vrb.vrb_main[0] == j:
            flag = 1

    for z in sec_vrb.sv_sec:
        phrase = scd_vrb_rebuilding(z, phrase, flag)

    #We add the adverb of the sentence
    phrase = phrase + sec_vrb.advrb

    return phrase
Example #3
0
def quantity_ques(analysis):
    """
    This function verbalises a question about quantity                               
    Input=class sentence                              Output=sentence
    """

    #init
    phrase = []

    #We have to memorise the verb
    verb = other_functions.list_rebuilding(analysis.sv[0].vrb_main[0])

    if analysis.sv:
    #First case : aim is the subject with verb be
        if analysis.sv[0].d_obj == [] and (verb[0] == 'be' or (len(verb) > 1 and verb[1] == 'be')):
            phrase = statement(analysis)
            return ['how', 'much'] + phrase[1:len(phrase) - 1] + ['?']

        #Second case : aim is the subject without verb be
        elif not analysis.sv[0].d_obj:
            return ['how', 'much'] + y_o_question(analysis)

        #Third case : as yes no question without the direct complement
        else:
            subject = element_rebuilding.nom_struc_rebuilding(analysis.sn)

            #Same processing with yes no question
            phrase = element_rebuilding.vrb_ques_rebuilding(analysis.sv[0].vrb_tense, analysis.sv[0].vrb_main,
                                                            analysis.sv[0].vrb_adv, analysis.sn, analysis.sv[0].state,
                                                            analysis.aim)

            for x in analysis.sv[0].i_cmpl:
                phrase = phrase + element_rebuilding.indirect_compl_rebuilding(x)

            phrase = phrase + analysis.sv[0].advrb

            flag = 0
            for j in ResourcePool().verb_need_to:
                if analysis.sv[0].vrb_main[0] == j:
                    flag = 1

            for k in analysis.sv[0].sv_sec:
                phrase = element_rebuilding.scd_vrb_rebuilding(k, phrase, flag)

            for s in analysis.sv[0].vrb_sub_sentence:
                phrase = phrase + sub_process(s)

            #processing of the state
            if analysis.sv[0].state == VerbalGroup.negative:
                phrase = phrase[0:2] + subject + phrase[2:]
            else:
                phrase = [phrase[0]] + subject + phrase[1:]

            return ['how', 'much'] + analysis.sv[0].d_obj[0].noun + phrase + ['?']
Example #4
0
def scd_vrb_rebuilding(sec_vrb, phrase, flg):
    """
    recovers the part of the second verb                                 
    Input=class sentence, phrase and a flag                       
    Output=phrase                                                    
    """

    if flg == 1:
        phrase = phrase + sec_vrb.vrb_adv + other_functions.list_rebuilding(sec_vrb.vrb_main[0])
    else:
        #Add this verb with 'to'
        phrase = phrase + ['to'] + sec_vrb.vrb_adv + other_functions.list_rebuilding(sec_vrb.vrb_main[0])

    #We add the direct and indirect complement
    if sec_vrb.i_cmpl != [] and sec_vrb.i_cmpl[0].prep != []:
        phrase = phrase + nom_struc_rebuilding(sec_vrb.d_obj)
        for x in sec_vrb.i_cmpl:
            phrase = phrase + indirect_compl_rebuilding(x)
    else:
        if sec_vrb.i_cmpl:
            phrase = phrase + indirect_compl_rebuilding(sec_vrb.i_cmpl[0])
        phrase = phrase + nom_struc_rebuilding(sec_vrb.d_obj)
        #init
        x = 1
        while x < len(sec_vrb.i_cmpl):
            phrase = phrase + indirect_compl_rebuilding(sec_vrb.i_cmpl[x])
            x += 1

    flag = 0
    for j in ResourcePool().verb_need_to:
        if sec_vrb.vrb_main[0] == j:
            flag = 1

    for z in sec_vrb.sv_sec:
        phrase = scd_vrb_rebuilding(z, phrase, flag)

    #We add the adverb of the sentence
    phrase = phrase + sec_vrb.advrb

    return phrase
Example #5
0
def vrb_stat_rebuilding(tense, verb, adv, sn, state, type, aim):
    """
    This function recovers the verb part of a statement                              
    Input=tense, verb in infinitive form, his state, the adverb and subject          
    Output=verb part                                                                 
    """

    #init
    vrb_condjugated = []

    #If verb is empty
    if not verb:
        return []

    #We take of the '+'
    vrb = other_functions.list_rebuilding(verb[0])

    #If there is modal => no processing
    for i in ResourcePool().modal:
        if i == vrb[0]:
            vrb_condjugated = vrb

    #No modal => normal processing
    if not vrb_condjugated:
        vrb_condjugated = conjugate_vrb(tense, vrb, sn, type, aim)
    elif tense == 'present passive' or tense == 'passive conditional':
        vrb_condjugated = [vrb[0]] + ['be'] + conjugate_vrb(
            'present passive', vrb[1:], sn, '', aim)[1:]

    #Affirmative case
    if state == VerbalGroup.affirmative:
        if len(vrb) > 1:
            return [vrb_condjugated[0]] + adv + vrb_condjugated[1:]
        else:
            return adv + vrb_condjugated

    #Negative case : we have to use do or have or be or modal if there is no
    elif state == VerbalGroup.negative:

        if vrb[0] == 'be' or vrb[0] == 'do' or vrb[0] == 'have':
            return [vrb_condjugated[0]] + ['not'] + adv + vrb_condjugated[1:]
        if tense != 'present simple' and tense != 'past simple':
            return [vrb_condjugated[0]] + ['not'] + adv + vrb_condjugated[1:]
        for i in ResourcePool().modal:
            if i == vrb[0]:
                return [vrb_condjugated[0]] + ['not'
                                               ] + adv + vrb_condjugated[1:]

        return conjugate_vrb(tense, ['do'], sn, type, aim) + ['not'
                                                              ] + adv + vrb
Example #6
0
def vrb_ques_rebuilding(tense, verb, adverb, sn, state, aim):
    """
    recovers the verb part of a question                               
    Input=tense, verb in infinitive form, his state, the adverb and subject          
    Output=verb part                                                                 
    """
    #If verb is empty
    if not verb:
        return []

    #We take of the '+'
    vrb = other_functions.list_rebuilding(verb[0])

    #If there is be or have : it is ok
    if vrb[0] == 'be' or vrb[0] == 'have':
        vrb_condjugated = conjugate_vrb(tense, vrb, sn, '', aim)
        if state == VerbalGroup.negative:
            return [vrb_condjugated[0]] + ['not'
                                           ] + adverb + vrb_condjugated[1:]
        return [vrb_condjugated[0]] + adverb + vrb_condjugated[1:]

    #Modal also
    for i in ResourcePool().modal:
        if i == vrb[0]:
            if state == VerbalGroup.negative:
                if tense == 'present passive' or tense == 'passive conditional':
                    return [vrb[0]
                            ] + ['not'] + adverb + ['be'] + conjugate_vrb(
                                'present passive', vrb[1:], sn, '', aim)[1:]
                return [vrb[0]] + ['not'] + adverb + vrb[1:]
            elif tense == 'present passive' or tense == 'passive conditional':
                return [vrb[0]] + adverb + ['be'] + conjugate_vrb(
                    'present passive', vrb[1:], sn, '', aim)[1:]
            return [vrb[0]] + adverb + vrb[1:]

    if tense == 'present simple' or tense == 'past simple':
        #We need to add the auxilary
        aux = conjugate_vrb(tense, ['do'], sn, '', aim)
        if state == VerbalGroup.negative:
            return aux + ['not'] + adverb + vrb
        return aux + adverb + vrb
    else:
        vrb_condjugated = conjugate_vrb(tense, vrb, sn, '', aim)
        if state == VerbalGroup.negative:
            return [vrb_condjugated[0]] + ['not'
                                           ] + adverb + vrb_condjugated[1:]
        return [vrb_condjugated[0]] + adverb + vrb_condjugated[1:]
Example #7
0
def vrb_stat_rebuilding(tense, verb, adv, sn, state, type, aim):
    """
    This function recovers the verb part of a statement                              
    Input=tense, verb in infinitive form, his state, the adverb and subject          
    Output=verb part                                                                 
    """

    #init
    vrb_condjugated = []

    #If verb is empty
    if not verb:
        return []

    #We take of the '+'
    vrb = other_functions.list_rebuilding(verb[0])

    #If there is modal => no processing
    for i in ResourcePool().modal:
        if i == vrb[0]:
            vrb_condjugated = vrb

    #No modal => normal processing
    if not vrb_condjugated:
        vrb_condjugated = conjugate_vrb(tense, vrb, sn, type, aim)
    elif tense == 'present passive' or tense == 'passive conditional':
        vrb_condjugated = [vrb[0]] + ['be'] + conjugate_vrb('present passive', vrb[1:], sn, '', aim)[1:]

    #Affirmative case
    if state == Verbal_Group.affirmative:
        if len(vrb) > 1:
            return [vrb_condjugated[0]] + adv + vrb_condjugated[1:]
        else:
            return adv + vrb_condjugated

    #Negative case : we have to use do or have or be or modal if there is no
    elif state == Verbal_Group.negative:

        if vrb[0] == 'be' or vrb[0] == 'do' or vrb[0] == 'have':
            return [vrb_condjugated[0]] + ['not'] + adv + vrb_condjugated[1:]
        if tense != 'present simple' and tense != 'past simple':
            return [vrb_condjugated[0]] + ['not'] + adv + vrb_condjugated[1:]
        for i in ResourcePool().modal:
            if i == vrb[0]:
                return [vrb_condjugated[0]] + ['not'] + adv + vrb_condjugated[1:]

        return conjugate_vrb(tense, ['do'], sn, type, aim) + ['not'] + adv + vrb
Example #8
0
def vrb_ques_rebuilding(tense, verb, adverb, sn, state, aim):
    """
    recovers the verb part of a question                               
    Input=tense, verb in infinitive form, his state, the adverb and subject          
    Output=verb part                                                                 
    """
    #If verb is empty
    if not verb:
        return []

    #We take of the '+'
    vrb = other_functions.list_rebuilding(verb[0])

    #If there is be or have : it is ok
    if vrb[0] == 'be' or vrb[0] == 'have':
        vrb_condjugated = conjugate_vrb(tense, vrb, sn, '', aim)
        if state == Verbal_Group.negative:
            return [vrb_condjugated[0]] + ['not'] + adverb + vrb_condjugated[1:]
        return [vrb_condjugated[0]] + adverb + vrb_condjugated[1:]

    #Modal also
    for i in ResourcePool().modal:
        if i == vrb[0]:
            if state == Verbal_Group.negative:
                if tense == 'present passive' or tense == 'passive conditional':
                    return [vrb[0]] + ['not'] + adverb + ['be'] + conjugate_vrb('present passive', vrb[1:], sn, '',
                                                                                aim)[1:]
                return [vrb[0]] + ['not'] + adverb + vrb[1:]
            elif tense == 'present passive' or tense == 'passive conditional':
                return [vrb[0]] + adverb + ['be'] + conjugate_vrb('present passive', vrb[1:], sn, '', aim)[1:]
            return [vrb[0]] + adverb + vrb[1:]

    if tense == 'present simple' or tense == 'past simple':
        #We need to add the auxilary
        aux = conjugate_vrb(tense, ['do'], sn, '', aim)
        if state == Verbal_Group.negative:
            return aux + ['not'] + adverb + vrb
        return aux + adverb + vrb
    else:
        vrb_condjugated = conjugate_vrb(tense, vrb, sn, '', aim)
        if state == Verbal_Group.negative:
            return [vrb_condjugated[0]] + ['not'] + adverb + vrb_condjugated[1:]
        return [vrb_condjugated[0]] + adverb + vrb_condjugated[1:]