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Further Analysis: Grammatical Relations

 

So far we have talked about the kind of grammatical knowledge that can be expressed in terms of a constituent structure  tree --- information about the constituent units, and the parts of speech. But there are other kinds of information implicit in these representations which it is useful to make explicit. In particular, information about which phrases fulfil which grammatical relations  or grammatical functions such as SUBJECT, OBJECT and SENTENTIAL COMPLEMENT. English SUBJECTs are normally the NPs which come before the verb, and OBJECTs normally occur immediately after the verb. In other languages these relations may be realised differently with respect to the verb. For example, in Japanese  the normal word order is SUBJECT OBJECT VERB, and in Irish  and Welsh  it is VERB SUBJECT OBJECT. In many languages, such as Russian , the VERB, SUBJECT and OBJECT can appear in essentially any order. (In such languages the different grammatical relations can often be recognized by different forms of the noun -- usually called cases. In English, this only occurs with pronouns --- he, she, etc., are only possible as SUBJECTs). What this suggests, of course, is that while the constituent structures  of languages differ greatly, they may appear more similar when described in terms of grammatical relations .

Phrases which serve as SUBJECT, OBJECT, etc., should also be distinguished from those which serve as MODIFIERs, or ADJUNCTs, of various sorts. For example, in the sentence ( ) You is the SUBJECT of the verb clean, the printer casing is its OBJECT, whilst the prepositional phrases with a non-abrasive compound and at any time are ADJUNCTs.

ADJUNCTs are prototypically optional --- unlike SUBJECTs. For example, a sentence which omits them is still perfectly well formed: there is nothing wrong with ( a), but omitting the SUBJECT, as illustrated in ( b) produces an ungrammatical result.gif

There are various ways of representing sentences in terms of grammatical relations , but it is essentially not very different from that of constituent structure  tree representation, which we have  seen earlier in this chapter. The basic idea is to represent sentences in terms of their constituent parts (so a tree representation is convenient), but since one wants to represent the grammatical relation  which the parts have to the whole, it is common to mark either the branches or the nodes with the appropriate relation. Figure gif gives a representation of ( ). This can be compared with a constituent  structure representation for the same sentence in Figure gif.

  
Figure: A Representation of Grammatical Relations 

  
Figure: A Constituent Structure Representation 

In Figure gif, the relations are marked on the nodes, and a new relation HEAD has been introduced. The HEAD element is, intuitively, the most important element from the point of view of the grammar of the whole phrase --- the element which makes the phrase what it is. This is the noun in an NP, the verb in a VP or sentence, the preposition in a PP.

There are three important differences between this tree representing grammatical relations , and those representing constituent structure . First, instead of consisting of an NP, and a VP (containing a V and an NP), the representation of grammatical relations consists of a V and two NPs -- the VP node has disappeared. Second, in this grammatical relations representation, the order of the branches is unimportant. This is possible, of course, because the grammatical relations  have been indicated and this gives information about word order implicitly. Figure gif could be redrawn with the branches in any order, and it would still be a representation of The temperature affects the printer, since this is the only sentence that has these items with these relations. By contrast, reordering the branches in a constituent  structure tree might produce a representation of a quite different sentence, or no sentence at all.

The third difference is that some of the words have been missed out from Figure gif, and have been replaced by features , that is, pairs that consist of an attribute, such as def, tense, and aspect, and a value, such as +, pres, and perfective. The features aspect=perfective and tense=pres indicate that the sentence as a whole is in the present perfect tense. It is called perfect because it is used to describe events or actions that have been `perfected' or completed, unlike, for example, a sentence such as The temperature was affecting the printer, where the `affecting' is still going on at the time the writer is referring to. It is called present perfect because the auxiliary verb is in a present tense form ( has not had). The feature  def=+ on the NPs means these NPs are definite. This definiteness indicates that the writer and reader have some particular object of the appropriate kind in mind. Compare, for example, The printer has stopped where one particular printer which is in some sense known to both writer and reader is being discussed, with A printer has stopped, where this is not the case.

These three differences are all intended to represent what is expressed by the sentence, abstracting away from the way it is expressed: we abstract away from the division into NP and VP, from the particular word order, and from the way in which the definiteness of the NPs and the tense and aspect of the sentence are realized (in English it is by the determiners, and the auxiliary verb respectively; in other languages it might be realized differently).

When it comes to describing the relationship between constituent structure , and what we might call relational structures, such as Figure gif, there are basically two approaches. One is simply to add information about grammatical relations  to the grammar rules.

S NP{SUBJECT} AUX VP{HEAD} VP V{HEAD} NP{OBJECT} PP{ADJUNCT}* AUX has{aspect=perfective, tense=pres}

The idea is that these annotations can be interpreted in such a way that a representation like Figure gif can be constructed at the same time as the constituent structure tree . To do  this requires a convention to `flatten' the constituent structure tree `merging' a structure (e.g. the structure of S) that is associated with the LHS of a rule with that of the HEAD daughter on the RHS, and a convention which simply merges in information that comes from items which do not have a grammatical relation , such as the AUX.

A second approach is to have special rules which relate the constituent structure  representation to the representation of grammatical relations. One such rule might look like this:

NP:$1, AUX:$2, V:$3, NP:$4

HEAD:$3, SUBJ:$1, OBJ:$4

In this rule, $1, $2, etc. are variables, or temporary names for pieces of structure. The idea is that such a rule matches a constituent structure  such as that in Figure gif , and assigns (or `binds') the variables to various pieces of structure. For example the NP containing temperature becomes bound to the variable $1. The rule can then be interpreted as an instruction to transform the constituent structure tree into a tree like Figure gif. This involves making this NP into the SUBJECT, making the V into the HEAD, and missing out the AUX entirely, among other things. The rule is rather simplified, of course, since it does not mention putting the information about perfective aspect into the grammatical relation  representation, and ignores the problem of dealing with PPs, but it should give some idea.

The reader may also notice that the arrow used in this rule is bidirectional . This is intended to suggest that the rule simply states a correspondence between constituent structure , and grammatical relation representations, without suggesting that one is prior to the other. Thus, the idea is that one could equally well use the rule to transform Figure gif into Figure gif and vice versa. Similarly, the annotation approach is not supposed to be directional (though this may be somewhat harder to appreciate).

Many verbs have what are called active and passive forms, as in the following.

Notice that the object in the active sentence corresponds to the subject in the passive. This raises the question of what the grammatical relations  SUBJECT and OBJECT should mean. One possibility is to use the the terms in the sense of the `surface' grammatical relations. The SUBJECTs of actives and the corresponding passives would be different, then. In particular, temperature would be the SUBJECT of ( a), and printers would be the SUBJECT of ( b). The alternative is to adopt a notion of a deep relation which picks out the same elements in both active and passive sentence. We would then say that (in English) the D-OBJECT (`deep' OBJECT) corresponds to the noun phrase after the verb in active sentences and to the noun phrase that precedes the verb in the corresponding passive. In active sentences, the surface and deep relations are the same, but they are different in passives, as can be seen from the following (in the passive sentence there is no surface OBJECT, and the D-SUBJECT has become a sort of ADJUNCT, in a PP with the preposition by).

Interpreting SUBJECT as deep subject is clearly consistent with the general idea of abstracting away from surface characteristics in the grammatical relational  representation. But it is not obviously the right move to make. For example, English verbs often vary their form depending on the nature of their subject (this is called agreement  -- as the following makes clear, there is also agreement  of demonstratives like this/ these with their head noun).

However, the point to notice is that the agreement  is with the surface subject, not the deep subject. Thus, if one wants to use a representation of grammatical relations  to describe the phenomenon of agreement , the notion of SUBJECT had better be surface subject. This is not, in itself, a critical point here. The point we are making is simply that there is a range of options, and that the option chosen can make a difference for the overall description.  


next up previous contents index
Next: Meaning Up: Representing Linguistic Knowledge Previous: Grammars and Constituent



Arnold D J
Thu Dec 21 10:52:49 GMT 1995