Eckhard Bick - VISL

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two function tags, since the student here also needs to identify the subject function of the infinitive-clause as a whole (shown as super-script). This way, the general appearance of the sentence will gradually change into the coloured "enriched text" notation (chapter 7.1., illustration 3), to which it becomes identical after full correct analysis. One of the tags already assigned by the student is a (postnominal) subclause function label for the relative pronoun "que", but the word still lacks a form label. Since my grammar - somewhat unorthodoxically - defines 3 pronoun classes in a purely morphological manner by lexeme and word form categories, he may have found it difficult to decide on one pronoun subclass rather than another. He can now procede in one of three ways: (a) He can choose (maybe at random) a pronoun subclass and wait for comments. In the case of a wrong choice, the system will act teacher, accepting his choice for being within the pronoun class (knoledge which should be duly honoured), while at the same time explaining why the system prefers another subcategory, and how this subcategory is defined. Here, the pedagogical strategy is to distinguish between "absolute errors" and errors originating from the clash of two conceptually different schools of grammar. In the latter case, - be the teacher human or not -, the student's view should be accepted for what it is, and the difference be explained. (b) He can scroll to the bottom of the menu window and select the last item, "Show me!". The system will then show the correct analysis and colour/index the word in question accordingly. Especially for the second menu, the word or group function menu, it proved unavoidable to introduce this choice, due to the highly differentiated tag set used - and, of course, so as not to frustrate the student unnecessarily. Also, since "live" text is being used, there is a chance - though a tolerably small one - for the system being plain wrong, and the student's analysis being right. (c) Finally, there is the possibility of switching to a smaller, more traditional tag set by means of a special meta-menu among the navigation buttons underneath (now showing "full tag set" mode). The tag-menus will then be simplified, and there will be only one pronoun class, with articles forming a new, independent class. Similarly, for function, "adverbial object" (@ADV, i.e. valency bound adverbial) and "adverbial adjunct" (@ADVL), or even "prepositional object" (@PIV), will be fused into the Portmanteau tag "adverbial" (@ADVL). If an error is made, even if it does not originate from a different view on the categories of grammar, it may still be a "soft" error, where the student is fairly close to the correct answer. In (7), the participle "acompanhada" has been assigned a gerund reading by the student. Since both the participle and the gerund categories are clearly verbal (and even, both non-finite), the system does not simply reject the answer as "plain wrong", but accepts the "verbality" as correct and encourages further subdivision: - 422 -
(7) Tutoring in the case of a "close miss" Though the possibility to work with free, real life text and to make up one's own examples is compelling proof of the efficiency of the system's underlying parser (or at least proves that such efficiency is courageously being claimed ...), not all students master a foreign language to such a degree that they enjoy inventing their own sentences, and they will not always come up with a correct. sentence, either. And even copying and pasting from corpus texts (the obvious solution, implemented in both the Portuguese and English modules) may become tedious in the end. On the other hand, many people enjoy a test match - at least as long as they are not being watched or judged. Therefore, I have integrated a sentence randomiser into the system, that offers corpus examples of its own 240 if the input window is left empty in interactive grammar mode. In order not to hit upon headlines and other unorthodox or "incomplete" text material, all random text choices are cut at sentence delimiters (full stop, colon etc.), and filtered out if they do not contain at least one finite verb. 240 Presently, the text base for the randomizer is about 1,000 sentences large, but since it is based on automatic analysis, ten or a hundred times that number would not be a problem, either. - 423 -
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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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@#AS-A< [ADV-rel] @#AS- @#AS-
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During the project period I have do
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syntactic errors around it, by prov
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1. Orthography and layout normalisa
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Of course, the use of dishesion mar
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S2 para aquele ... está perfeitame
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Parser performance on speech data (
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4 The syntactic level: A dependency
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subjects, but the second subject ca
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(7) SUBJ o [o] DET M S @>N 'the' b
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4.1.2 Dependency relation types: Cl
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(1) Table: Constituent structure ty
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Any further, more detailed, syntact
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discussion are inspired by Perini (
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Thus, we get ”Comeu peixe/bananas
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type-4 adverbials. Second, adverbia
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they all share one, and only one, c
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AB todos estes ambos os uns, uma,
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from personal pronouns, are not mut
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noun. Only very few adjectives (the
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4.2.2 The adpositional group head a
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However, adnominals can point to a
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(g) isso existe (até/nem (nos Esta
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4.3 The verb chain 4.3.1 The predic
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* aspect estar/andar/continuar/segu
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Ordinarily, 'o' is understood as su
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second verb's object 152 ), with so
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different subjects of matrix and su
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case function ± fronting ÷ fronti
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Quando ”quando” ADV @#FS-ADVL
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abalançar a kaste sig ud i at acab
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fazer xt, xd xdr få til at, lade s
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4.4 Clause types and clause functio
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@#ICL- non-finite subclause (combin
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While it is one of the clausality t
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(6) ..., tudo @S< pago @NN mão @
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(1g) Não [queria [comer outro bolo
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Apart from the presence of predicat
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demais [demais] DET M/F S/P @>N ‘
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element is a comparator and the sec
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without a predicator's valency info
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quantifying) cases, indicating adve
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4.5 Under the magnifying glass: Spe
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O assunto eram as ditaduras 2. F E
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The examples show that the normal "
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focusing function to the syntactic
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the quantifying adverbs mais and me
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qual DET @SC> @#FS-KOMP< antes era
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o [o] DET M S @AS< ‘that’ de [d
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[P=predicator, O=object, A=adverbia
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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’
Page 372 and 373: In all, the parser uses 16 atomic s
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Page 376 and 377: 6.5 A semantic Constraint Grammar I
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Page 380 and 381: LIST = (@=c @=v @=p @=s @=t) ; LIS
Page 382 and 383: um verão ‘a summer’ * ok. * f
Page 384 and 385: An example of argument-head polysem
Page 386 and 387: The program module implementing the
Page 388 and 389: REMOVE (@=X) (*1 @%jn BARRIER @NON-
Page 390 and 391: @AUX, 'know how to, can' @MV, 'ta
Page 392 and 393: Note that the MT engine will choose
Page 394 and 395: Even where none of the semantic rul
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Page 398 and 399: O Itamarati +HUM @SUBJ The Itamara
Page 400 and 401: and a morphological CG module may c
Page 402 and 403: • V-trees - vertical tree structu
Page 404 and 405: descriptional complexity: 'full tag
Page 406 and 407: Here, each line of the CG-notation
Page 408 and 409: 7.2 Grammar teaching on the Interne
Page 410 and 411: system's disposal. After acquiring
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Page 416 and 417: terminological confusion ? term not
Page 418 and 419: The tree structure of the sample se
Page 420 and 421: (5) Syntactic tree structures (VISL
Page 424 and 425: 7.3 Corpus research In the case of
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Page 430 and 431: The NURC speech corpus (“Norma ur
Page 432 and 433: 7.4 Machine translation 7.4.1. A te
Page 434 and 435: processors used by translators or l
Page 436 and 437: The following diagram shows how dif
Page 438 and 439: 8 Conclusion: The advantages of inc
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Page 442 and 443: Sources: English: EngCG: Karlsson e
Page 444 and 445: (4) Table: syntactic tree structure
Page 446 and 447: lexicon which ensure removal of fal
Page 448 and 449: 8.2 CG Progressive Level Parsing: G
Page 450 and 451: Methodologically, it is commonly cl
Page 452 and 453: $ the dollar sign is used to mark n
Page 454 and 455: @#ICL-AUX< argument verb in verb ch
Page 456 and 457: "unit" noun (e.g. "20 metros") att
Page 458 and 459: SEMANTIC TAGS The tables below prov
Page 460 and 461: ANIMATE NON-HUMAN, NON-MOVING bo 13
Page 462 and 463: stof 136 fabric seda ‘silke’ ma
Page 464 and 465: (-CONCRETE, - MASS, +COUNT) ‘modu
Page 466 and 467: ax 25 plus below: (-CONCRETE, -MASS
Page 468 and 469: cI 199 process (-CONTROL, imperfect
Page 470 and 471: 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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