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Chapter 18 Lexical Functions: Description of Lexical Relations in a ...

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LF-Sem-Rule 3<br />

(<strong>in</strong>tensely)<br />

1<br />

!<br />

—<strong>Chapter</strong> <strong>18</strong>. <strong>Lexical</strong> <strong>Functions</strong>— 86<br />

L(P)<br />

ATTR<br />

(P) Magn<br />

The mean<strong>in</strong>g (<strong>in</strong>tensely P) is expressed<br />

by a Magn modify<strong>in</strong>g the LU L(P) that<br />

lexicalizes the mean<strong>in</strong>g (P).<br />

There are also other sources for Magn, but these examples seem to be sufficient here.<br />

3. The LF Real 3:<br />

LF-Sem-Rule 4<br />

(P) " (prescription)<br />

2 3<br />

1<br />

(Y) (Z)<br />

example.<br />

!<br />

L(Z)<br />

Real 3<br />

I II<br />

II<br />

L(Y)<br />

L(P)<br />

The mean<strong>in</strong>g (Z does Y that some-<br />

one’s prescription P tells him to do)<br />

can be expressed by a Real 3,<br />

applied to the noun L(P) that<br />

lexicalizes the mean<strong>in</strong>g (P).<br />

The LF Real i has other semantic sources, too; but as above, I will limit myself to one<br />

Where subtler mean<strong>in</strong>g dist<strong>in</strong>ctions concern<strong>in</strong>g LFs are needed, semantic dist<strong>in</strong>guishers,<br />

superscripts and other devices, as presented above, are used.<br />

Accord<strong>in</strong>g to the given def<strong>in</strong>itions, the LFs are selected, <strong>in</strong> the process <strong>of</strong> synthesis, and<br />

<strong>in</strong>serted <strong>in</strong>to the DSyntS <strong>of</strong> the sentence be<strong>in</strong>g constructed—very much like all other Deep<br />

<strong>Lexical</strong> Units. 25<br />

6.2. Phraseological Aspect <strong>of</strong> <strong>Lexical</strong> <strong>Functions</strong><br />

6.2.1. Graduality <strong>of</strong> Restrictedness <strong>of</strong> LF Expressions<br />

In some cases, an element <strong>of</strong> the value <strong>of</strong> a given LF f is highly idiosyncratic: e.g., pay<br />

ATTENTION, where PAY = Oper 1(attention) is a rare choice. But <strong>in</strong> numerous other cases elements<br />

<strong>of</strong> an LF are not idiosyncratic at all: for example, attract X’s ATTENTION, where ATTRACT =<br />

Caus 2Func 2(attention) is semantically completely motivated. However, this expression still must<br />

be described by a lexical function: with some other nouns, you cannot use attract <strong>in</strong> order to

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