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Montague grammar

Montague grammar is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Montague grammar rather than just read about it. In short: Montague grammar is an approach to natural language semantics, named after American logician Richard Montague. The Montague grammar is based on mathematical logic, especially higher-order predicate logic and lambda calculus, and makes use of the notions of intensional logic, via Kripke models.

Key takeaways

  • Montague grammar belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Montague grammar to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Montague grammar from memory before moving on to harder problems.

Reference excerpt

Montague grammar is an approach to natural language semantics, named after American logician Richard Montague. The Montague grammar is based on mathematical logic, especially higher-order predicate logic and lambda calculus, and makes use of the notions of intensional logic, via Kripke models. Montague pioneered this approach in the 1960s and early 1970s.

Overview Montague's thesis was that natural languages (like English) and formal languages (like programming languages) can be treated in the same way:

There is in my opinion no important theoretical difference between natural languages and the artificial languages of logicians; indeed, I consider it possible to comprehend the syntax and semantics of both kinds of language within a single natural and mathematically precise theory. On this point I differ from a number of philosophers, but agree, I believe, with Chomsky and his associates. ("Universal Grammar" 1970)

Montague published what soon became known as Montague grammar in three papers:

1970: "Universal grammar" (= UG) 1970: "English as a Formal Language" (= EFL) 1973: "The Proper Treatment of Quantification in Ordinary English" (= PTQ)

Illustration Montague grammar can represent the meanings of quite complex sentences compactly. Below is a grammar presented in Eijck and Unger's textbook. The types of the syntactic categories in the grammar are as follows, with t denoting a term (a reference to an entity) and f denoting a formula.

The meaning of a sentence obtained by the rule S : N P V P {\displaystyle S:{\mathit {NP}}\ {\mathit {VP}}} is obtained by applying the function for NP to the function for VP. The types of VP and NP might appear unintuitive because of the question as to the meaning of a noun phrase that is not simply a term. This is because meanings of many noun phrases, such as "the man who whistles", are not just terms in predicate logic, but also include a predicate for the activity, like "whistles", which cannot be represented in the term (consisting of constant and function symbols but not of predicates). So we need some term, for example x, and a formula whistles(x) to refer to the man who whistles. The meaning of verb phrases VP can be expressed with that term, for example stating that a particular x satisfies sleeps(x) ∧ {\displaystyle \wedge } snores(x) (expressed as a function from x to that formula). Now the function associated with NP takes that kind of function and combines it with the formulas needed to express the meaning of the noun phrase. This particular way of stating NP and VP is not the only possible one. Key is the meaning of an expression is obtained as a function of its components, either by function application (indicated by boldface parentheses enclosing function and argument) or by constructing a new function from the functions associated with the component. This compositionality makes it possible to assign meanings reliably to arbitrarily complex sentence structures, with auxiliary clauses and many other complications. The meanings of other categories of expressions are either similarly function applications, or higher-order functions. The following are the rules of the grammar, with the first column indicating a non-terminal symbol, the second column one possible way of producing that non-terminal from other non-terminals and terminals, and the third column indicating the corresponding meaning.

Here are example expressions and their associated meaning, according to the above grammar, showing that the meaning of a given sentence is formed from its constituent expressions, either by forming a new higher-order function, or by applying a higher-order function for one expression to the meaning of another.

The following are other examples of sentences translated into the predicate logic by the grammar.

In popular culture In David Foster Wallace's novel Infinite Jest, the protagonist Hal Incandenza has written an essay entitled Montague Grammar and the Semantics of Physical Modality. Montague grammar is also referenced explicitly and implicitly several times throughout the book.

See also Categorial grammar – Family of formalisms in natural language syntax Continuation-passing style – Programming style in which control is passed explicitly Kripke semantics – Formal semantics for non-classical logic systems Situation semantics – Concept in situation theory Temperature paradox – Logical paradox

References

Further reading Richmond Thomason (ed.): Formal Philosophy. Selected Papers by Richard Montague. New Haven, 1974, ISBN 0-300-02412-6 Paul Portner, Barbara H. Partee (eds.): Formal Semantics: The Essential Readings, Blackwell, 2002. ISBN 0-631-21542-5 D. R. Dowty, R.E. Wall and S. Peters: Introduction to Montague Semantics. Kluwer Academic Publishers, 1981, ISBN 90-277-1142-9 Emmon Bach: Informal Lectures on Formal Semantics. SUNY Press, 1989, ISBN 0-88706-771-9 B. H. Partee, A.G.B. ter Meulen and R.E. Wall: Mathematical Methods in Linguistics. Kluwer Academic Publishers, 1990, ISBN 90-277-2245-5 B. H. Partee with Herman Hendriks: Montague Grammar. In: Handbook of Logic and Language, eds. J.F.A.K. van Benthem and A. G. B. ter Meulen Elsevier/MIT Press, 1997, pp. 5–92. ISBN 0-262-22053-9 Reinhard Muskens Type-logical Semantics to appear in the Routledge Encyclopedia of Philosophy Online (contains an annotated bibliography).

External links A Free Montague Parser in a non-deterministic extension of Common Lisp. Montague Grammar in historical context. / The theory and the substance of Montague grammar. Central principles. / Further developments and controversies. by Barbara H. Partee.

Worked examples

Example 1 — a first encounter with Montague grammar

Start with the simplest possible case. Write down what Montague grammar claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Montague grammar before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Montague grammar ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Montague grammar

In research
Montague grammar appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Montague grammar in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Montague grammar is common in secondary-school and first-year university syllabi. It links to neighbouring topics Formal languages, Grammar, Lambda calculus, so understanding it makes those chapters shorter.
In everyday life
Look for Montague grammar outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Montague grammar in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Montague grammar means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Montague grammar out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Montague grammar in simple terms?

Montague grammar is an approach to natural language semantics, named after American logician Richard Montague. The Montague grammar is based on mathematical logic, especially higher-order predicate logic and lambda calculus, and makes use of the notions of intensional logic, via Kripke models.

Why does Montague grammar matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Montague grammar?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Montague grammar.

Tags

  • Formal languages
  • Grammar
  • Lambda calculus
  • Semantics

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