Eckhard Bick - VISL

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Ordinarily, 'o' is understood as subject 150 of the non-finite clause in sentences of type (3e). In literary language, however, 'o' might also be object of the non-finite clause, this being one of the dubious cases in the application of the clitic fronting test. The other ambiguity concerns notation. How is it possible to know where the dependency marker of 'o' attaches - at the first, finite, or second, non-finite, main verb? Since the default definition is attachment to the nearest main verb (which is not the correct choice in this case), I have opted for a special notation in similar sentences: A double dependency marker (>>) refers to the second main verb to the right. With a reflexive object pronoun in the same construction, the subject/object ambiguity can be resolved by means of the valency class of the second verb: Intransitive/ergative verbs (3f) favour a subject-reading, transitive (3g) or transobjective (3h) ones favour the object-reading. (3f) O rei se deixou cair na cama. @SUBJ> @FMV @#ICL-> @IMV @ @FMV @#ICL-> @IMV (3g) O rei se fez eleger presidente. @SUBJ> @FMV @#ICL-> @IMV @
continuar + GER/a and so forth. Also, participles after ser and estar behave structurally the same, but estar alternates with ficar (diluting its auxiliary-status), and its participles alternate with adjectives, thus being syntactically equivalent to subject predicatives. After removing estar from the auxiliary list, only a kernel of ter/haver with tense readings, and ser with passive voice readings would be left in the auxiliary camp. A more liberal view would allow modals and aktionsart markers, maybe also ACI-constructions and causatives. These cover all kinds of direct and preposition mediated infinitive chains. How to draw a formal line? Inspired by traits of the core auxiliaries, a number of tests is proposed in the literature: (a) leftmost position in a verb chain (b) transclausal subject identity (c) no selection restrictions for the subject (d) no imperative (e) no (semantic) selection restrictions on the number 2 verb (f) allows object pronoun fronting (clitic fronting) (g) exclusion of interfering "não" (h) finite subclause substitution test (i) passivisation test for clause coherence While (a) obviously delineates the pool of verbs from which to choose auxiliaries, it doesn't define them. (c), (d) and (e) are really about auxiliaries not having semantic lexical content, a criterion that would exclude all but the tense and voice auxiliaries. Some modals, for instance, violate (c), since they select +HUM in the subject (dever, saber), the imperative criterion (d) asks for +CONTROL in the subject and splits the otherwise coherent group of perception verbs (-CONTROL) and causative (+CONTROL) in two. Similarly, some causatives (mandar), like some cognitives (prometer), but again unlike perception verbs, violate (e) by selecting for +CONTROL in the second verb's subject. Tests (f) and (g) are about "transparency": real auxiliaries are expected to attach to their main verbs in an unseparable way. The stricter of the two is the negation test (g), with only ser, ter and ir (!) passing, while the clitic fronting test 151 (f) works well and coherently for most auxiliary-candidates that directly "govern" non-finite verb forms. For these verbs the subject identity test (b), comparing the main clause subject to the (often unexpressed) subject of the non-finite clause, yields very similar results. The fact that two different tests, one morpho-syntactic, the other semantico-syntactic, agree on the same list of words, strengthens both tests' legitimacy. ACI-structures and causatives are excluded by both tests (the clitic to be fronted is the 151 non-nominal pronominal material is moved from a position between matrix-verb and non-finite verb to a fronted position immediately to the left of the matrix verb. - 237 -
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Eckhard Bick ♠ THE PARSING SYSTEM
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Abstract The dissertation describes
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3.7.2. Making the most of the lexic
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Inflexion tags 451 Syntactic tags 4
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first, - but soon, it would move th
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disambiguated), same level tags (to
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chain, but rather the linguistic co
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2 The lexicomorphological level: St
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The core of PALMORF is written in C
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(d) as part of words. For instance,
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(1) binary search technique: a . .
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acapitã#=#####B(orn)###413 acara#a
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Words with graphical accents often
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2.2.3.2 The inflexional endings lex
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2.2.3.3 The suffix lexicon (1) 1
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Suffix combination rules is also us
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an V a DERP a- [ANT] brad Vi as HV
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"inimigo" ADJ M P "inimigo" N M P
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variable word forms receive '_'- li
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The remaining 2 words of the 4-word
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appear truncated or not, depending
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comparison to the substring consist
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My present linguistic solution 28 i
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In some non-personal proper nouns,
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(i.e., not too complex) derivationa
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2.2.4.5 Abbreviations and sentence
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Another case, where meaning bearing
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2.2.4.6 The human factor: variation
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circumflex-) accented words without
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the tagger tries to identify a word
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xxxar-#1##AaiD######54578 endings-s
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"sombrancelha" N F P '=sobrancelha
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(6) Word class distribution and par
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VFIN 24.96 16 7.77 9 2.46 - - 25 3.
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the present participle by derivatio
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Inflexion tags combine with word cl
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2.2.5.2 The individual word classes
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SPEC "specifiers": independent pron
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WORD FORM and LEXEME CATEGORIES gen
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WORD FORM and LEXEME CATEGORIES dea
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mood VFIN finite IND indicative SUB
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prefixal derivation in verbs comple
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graph. def. characteristics: hyphen
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PP prepositional group de=aluguel
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2.2.5.3 Portuguese particles By ‘
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Deictic adverbs refer to discourse
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algo, algum=tanto, nada, nadinha?,
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quando når, da hvornår quanto [QU
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(1) Language distribution and error
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3 Morphosyntactic disambiguation: T
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(4) "quando" conjunction or adverb
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oth for the simple ambiguities intr
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case of a 3.person possessor, the u
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The fact that these semantic distin
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In (Karlsson et. al, 1995:19ff) an
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meaning- scope someone loves everyb
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• 5. Tags can be integrated as me
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19 0 0 - - - - >= 20 15 1 - - - - t
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Portuguese non-name words. Apart fr
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words: 40.8 10.5 17.9 2.9 0.5 3.1 8
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quite distinct, and few irregular e
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3.3 Borderline ambiguity: The limit
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(5b) They [saw(see) [the girl with
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Choose 'saw', if within the same cl
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ambiguous words), moving them to "l
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(3) modernização "modernizar" N
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3.5.1 Probabilistics: The 'fire a l
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In a brute force approach, for an a
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While undeniably involving more con
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Generative Grammar, introduced and
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node without branches matching the
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example is a grammar of one termina
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wide coverage tagging and parsing t
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ambiguity, Constraint Grammar can a
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syntactic reach of ordinary hand-cr
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“base form-1” .. .. WORD CLAS
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Base forms ("...") are tags like al
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play after base form rules targetin
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The above sequences are examples of
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3.7.2 Making the most of the lexico
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(1) number of CG rules containing a
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Intuitively, one might assume (a) t
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constructions. Something similar is
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are shaded, as well as the sum-colu
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For global context syntactic rules
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In table (4), three types of contex
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ules appear to be slightly more com
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(5a), continued ¡ ¢ number of con
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in the sequential “understanding
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all - 356 978 492 2219 C-percent 39
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3.8 Mapping: From word class to syn
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@ADVL [N-temp ADV PRP #ICL #FS #AS]
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Page 188 and 189: During the project period I have do
Page 190 and 191: syntactic errors around it, by prov
Page 192 and 193: 1. Orthography and layout normalisa
Page 194 and 195: Of course, the use of dishesion mar
Page 196 and 197: S2 para aquele ... está perfeitame
Page 198 and 199: Parser performance on speech data (
Page 200 and 201: 4 The syntactic level: A dependency
Page 202 and 203: subjects, but the second subject ca
Page 204 and 205: (7) SUBJ o [o] DET M S @>N 'the' b
Page 206 and 207: 4.1.2 Dependency relation types: Cl
Page 208 and 209: (1) Table: Constituent structure ty
Page 210 and 211: Any further, more detailed, syntact
Page 212 and 213: discussion are inspired by Perini (
Page 214 and 215: Thus, we get ”Comeu peixe/bananas
Page 216 and 217: type-4 adverbials. Second, adverbia
Page 218 and 219: they all share one, and only one, c
Page 220 and 221: AB todos estes ambos os uns, uma,
Page 222 and 223: from personal pronouns, are not mut
Page 224 and 225: noun. Only very few adjectives (the
Page 226 and 227: 4.2.2 The adpositional group head a
Page 228 and 229: However, adnominals can point to a
Page 230 and 231: (g) isso existe (até/nem (nos Esta
Page 232 and 233: 4.3 The verb chain 4.3.1 The predic
Page 234 and 235: * aspect estar/andar/continuar/segu
Page 238 and 239: second verb's object 152 ), with so
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Page 244 and 245: Quando ”quando” ADV @#FS-ADVL
Page 246 and 247: abalançar a kaste sig ud i at acab
Page 248 and 249: fazer xt, xd xdr få til at, lade s
Page 250 and 251: 4.4 Clause types and clause functio
Page 252 and 253: @#ICL- non-finite subclause (combin
Page 254 and 255: While it is one of the clausality t
Page 256 and 257: (6) ..., tudo @S< pago @NN mão @
Page 258 and 259: (1g) Não [queria [comer outro bolo
Page 260 and 261: Apart from the presence of predicat
Page 262 and 263: demais [demais] DET M/F S/P @>N ‘
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Page 270 and 271: 4.5 Under the magnifying glass: Spe
Page 272 and 273: O assunto eram as ditaduras 2. F E
Page 274 and 275: The examples show that the normal "
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Page 278 and 279: the quantifying adverbs mais and me
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Page 282 and 283: o [o] DET M S @AS< ‘that’ de [d
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mais=de [mais=de] ADV @>A ‘more
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(2k) Ficou [ficar] V PS 3S IND V
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interno [interno] ADJ M S @N< '-'
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a preposition, por, then allowing f
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4.5.3 Tagging the quantifier 'todo'
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connection with personal pronouns -
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4.5.4 Adverbial function 4.5.4.1 Ar
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explanation for this may be that a
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a [a] DET F S @>N ‘the’ pergun
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carro [carro] N M S @SUBJ> ‘car
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pass the second test ('*De seu novo
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Therefore, the @ADV-@ADVL distincti
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@PIV, @ADV and @SC are - unlike @AD
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heads a "material" PP. The followin
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4.5.4.3 Intensifier adverbs Intensi
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4.5.4.4 Complementiser adverbs: Int
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complementiser in nominal FS or ICL
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hooked AS-relatives (3) they even a
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4.5.4.5 Adverb disambiguation and o
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position: adverb class: A) set oper
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(5b) fits fairly well into the (A)
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antes/depois+de Depois [depois] AD
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While (2c-e) can be described as pr
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In (4d) ter ('have') does have mono
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When the potential subject is post-
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(1) Table: functions of pronominal
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ditador [ditador] N M S @N ‘-’
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In other contexts, para is not usua
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life that the work of different gra
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SPEC DET/SPEC ¬ @#FS/AS-N< artic
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4.6.3 Tree structures for constitue
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dono de restaurante que pilota a pr
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|-@N
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4.7 Elegant underspecification An i
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5 The uses of valency: A bridge fro
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Returning to a research view concer
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5.2 Valency instantiation: From sec
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Note that valency is treated as a f
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REMOVE (@%vt) (0 @%vK) (*1C @
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word order can't be counted on to m
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than by asking ‘is it an A?’ or
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hemisphere membership 218 , - ‘SW
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disambiguate the senses ‘suit’
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In all, the parser uses 16 atomic s
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‘+ uninferable positive feature +
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6.5 A semantic Constraint Grammar I
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capable - by “negative instantiat
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LIST = (@=c @=v @=p @=s @=t) ; LIS
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um verão ‘a summer’ * ok. * f
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An example of argument-head polysem
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The program module implementing the
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REMOVE (@=X) (*1 @%jn BARRIER @NON-
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@AUX, 'know how to, can' @MV, 'ta
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Note that the MT engine will choose
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Even where none of the semantic rul
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A casa revista PCP @N< revista PC
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O Itamarati +HUM @SUBJ The Itamara
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and a morphological CG module may c
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• V-trees - vertical tree structu
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descriptional complexity: 'full tag
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Here, each line of the CG-notation
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7.2 Grammar teaching on the Interne
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system's disposal. After acquiring
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the reach of "subject"-ness or "obj
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provided and what choices can be ma
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terminological confusion ? term not
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The tree structure of the sample se
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(5) Syntactic tree structures (VISL
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two function tags, since the studen
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7.3 Corpus research In the case of
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- 426 -
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- 428 -
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The NURC speech corpus (“Norma ur
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7.4 Machine translation 7.4.1. A te
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processors used by translators or l
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The following diagram shows how dif
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8 Conclusion: The advantages of inc
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- 440 -
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Sources: English: EngCG: Karlsson e
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(4) Table: syntactic tree structure
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lexicon which ensure removal of fal
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8.2 CG Progressive Level Parsing: G
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Methodologically, it is commonly cl
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$ the dollar sign is used to mark n
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@#ICL-AUX< argument verb in verb ch
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"unit" noun (e.g. "20 metros") att
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SEMANTIC TAGS The tables below prov
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ANIMATE NON-HUMAN, NON-MOVING bo 13
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stof 136 fabric seda ‘silke’ ma
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(-CONCRETE, - MASS, +COUNT) ‘modu
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ax 25 plus below: (-CONCRETE, -MASS
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cI 199 process (-CONTROL, imperfect
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oot search lexicon search takes a w
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translation, prepares bilingual lex
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in a typical van/von-name chain con
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Appendix: Example sentences The fol
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é [ser] V PR 3S IND VFIN @FMV quas
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será [ser] V FUT 3S IND VFIN @FMV
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julgamento [julgamento] N M S @P< $
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Os [o] DET M P @>N sabonetes [sabo
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parte [parte] N F S @P< de [de] PR
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inesquecíveis [inesquecível] ADJ
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Literature Almeida, Napoleão Mende
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Lindberg, Nikolaj, “Learning Cons
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Alphabetical index Page numbers in
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averbal subclauses;254 finite subcl
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attributive;249 nominal;248 finite
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for auxiliary definition;235;237 pa
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subject identity test;236 subjects
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ERROR: rangecheck OFFENDING COMMAND
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Eckhard Bick - VISL

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