Notes on computational linguistics.pdf - UCLA Department of ...
Notes on computational linguistics.pdf - UCLA Department of ...
Notes on computational linguistics.pdf - UCLA Department of ...
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Stabler - Lx 185/209 2003<br />
It is important to reflect <strong>on</strong> what this view must amount to. A competent language user must not <strong>on</strong>ly<br />
be able to perform the syntactic analysis, but also must have the inference rules that are defined over these<br />
analyses. This is an additi<strong>on</strong>al and significant requirement <strong>on</strong> the adequacy <strong>of</strong> our theory, <strong>on</strong>e that is <strong>on</strong>ly<br />
sometimes made explicit:<br />
For example, trivially we judge pretheoretically that 2b below is true whenever 2a is.<br />
2a. John is a linguist and Mary is a biologist.<br />
b. John is a linguist.<br />
Thus, given that 2a,b lie in the fragment <strong>of</strong> English we intend to represent, it follows that our system<br />
would be descriptively inadequate if we could not show that our representati<strong>on</strong> for 2a formally<br />
entailed our representati<strong>on</strong> <strong>of</strong> 2b. (Keenan and Faltz, 1985, p2)<br />
Spelling out the idea that syntax defines the structures to which inference applies, we see that syntax is much<br />
more than just a theory <strong>of</strong> word order. It is, in effect, a theory about how word order can be a reflecti<strong>on</strong> <strong>of</strong><br />
the semantic structures that we reas<strong>on</strong> with. When you learn a word, you form a hypothesis not <strong>on</strong>ly about<br />
its positi<strong>on</strong>s in word strings, but also about its role in inference. This perhaps surprising hypothesis will be<br />
adopted here, and some evidence for it will be presented.<br />
So we have the following views so far:<br />
• semantic values and entailment relati<strong>on</strong>s are defined over syntactic derivati<strong>on</strong>s<br />
• linguistic theory should explain the recogniti<strong>on</strong> <strong>of</strong> entailment relati<strong>on</strong>s that hold in virtue <strong>of</strong> meaning<br />
Now, especially if the computati<strong>on</strong>al model needs the inference relati<strong>on</strong>s (corresp<strong>on</strong>ding to entailment) but<br />
does not really need the semantic valuati<strong>on</strong>s, as noted at the beginning <strong>of</strong> this secti<strong>on</strong>, this project may sound<br />
easy. We have the syntactic derivati<strong>on</strong>s, so all we need to do is to specify the inference relati<strong>on</strong>, and c<strong>on</strong>sider<br />
how it is computed. Unfortunately, things get complicated in some surprising ways when we set out to do this.<br />
Three problems come up right away:<br />
First: Certain collecti<strong>on</strong>s <strong>of</strong> expressi<strong>on</strong>s have similar inferential roles, but this classificati<strong>on</strong> <strong>of</strong> elements according<br />
to semantic type does not corresp<strong>on</strong>d to our classificati<strong>on</strong> <strong>of</strong> syntactic types.<br />
Sec<strong>on</strong>d: Semantic values are fixed in part by c<strong>on</strong>text.<br />
Third: Since the syntax is now doing more than defining word order, we may want to modify and extend it for<br />
purely semantic reas<strong>on</strong>s.<br />
We will develop some simple ideas first, and then return to discuss these harder problems in §16. We will<br />
encounter these points as we develop our perspective.<br />
So to begin with the simplest ideas, we will postp<strong>on</strong>e these important complicati<strong>on</strong>s: we will ignore pr<strong>on</strong>ouns<br />
and c<strong>on</strong>textual sensitivity generally; we will ignore tense, empty categories and movement. Even with<br />
these simplificati<strong>on</strong>s, we can hope to achieve a perspective <strong>on</strong> inference which typically c<strong>on</strong>cealed by approaches<br />
that translate syntactic structures into some kind <strong>of</strong> standard first (or sec<strong>on</strong>d) order logic. In particular:<br />
• While the semantics for first order languages obscures the Fregean idea that quantifiers are properties<br />
<strong>of</strong> properties (or relati<strong>on</strong>s am<strong>on</strong>g properties, the approach here is firmly based <strong>on</strong> this insight.<br />
• Unlike the unary quantifiers <strong>of</strong> first order languages – e.g. (∀X)φ – the quantifiers <strong>of</strong> natural languages<br />
are predominantly binary or “sortal” – e.g.<br />
quantifiers.<br />
every(φ, ψ). The approach adopted here allows binary<br />
• While standard logic allows coordinati<strong>on</strong> <strong>of</strong> truth-value-denoting expressi<strong>on</strong>s, to treat human language<br />
we want to be able to handle coordinati<strong>on</strong>s <strong>of</strong> almost every category. That is not just<br />
human(Socrates) ∧ human(Plato)<br />
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