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Veridicality

Veridicality is a science 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 Veridicality rather than just read about it. In short: In linguistics, veridicality (from Latin "truthfully said") is a semantic or grammatical assertion of the truth of an utterance. Definition Merriam-Webster defines "veridical" as truthful, veracious and non illusory.

Key takeaways

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

Reference excerpt

In linguistics, veridicality (from Latin "truthfully said") is a semantic or grammatical assertion of the truth of an utterance.

Definition Merriam-Webster defines "veridical" as truthful, veracious and non illusory. It stems from the Latin "veridicus", composed of Latin verus, meaning "true", and dicere, which means "to say". For example, the statement "Paul saw a snake" asserts belief in the claim, while "Paul did see a snake" is an even stronger assertion of a correct basis for that belief (he perceived an object, believed it to be a snake, and it was in fact a snake). The formal definition of veridicality views the context as a propositional operator (Giannakidou 1998).

A propositional operator F is veridical iff Fp entails p, that is, Fp → p; otherwise F is nonveridical. Additionally, a nonveridical operator F is antiveridical iff Fp entails not p, that is, Fp → ¬p. For temporal and aspectual operators, the definition of veridicality is somewhat more complex:

For operators relative to instants of time: Let F be a temporal or aspectual operator, and t an instant of time. F is veridical iff for Fp to be true at time t, p must be true at a (contextually relevant) time t′ ≤ t; otherwise F is nonveridical. A nonveridical operator F is antiveridical iff for Fp to be true at time t, ¬p must be true at a (contextually relevant) time t′ ≤ t. For operators relative to intervals of time: Let F be a temporal or aspectual operator, and t an interval of time. F is veridical iff for Fp to be true of t, p must be true of all (contextually relevant) t′ ⊆ t; otherwise F is nonveridical. A nonveridical operator F is antiveridical iff for Fp to be true of t, ¬p must be true of all (contextually relevant) t′ ⊆ t.

Nonveridical operators Negation is veridical, though of opposite polarity, sometimes called antiveridical: "Paul didn't see a snake" asserts that the statement "Paul saw a snake" is false. In English, non-indicative moods or irrealis moods are frequently used in a nonveridical sense: "Paul may have seen a snake" and "Paul would have seen a snake" do not assert that Paul actually saw a snake and the second implies that he did not. "Paul would indeed have seen a snake" is veridical, and some languages have separate veridical conditional moods for such cases. Nonveridicality has been proposed to be behind the licensing of polarity items such as the English words any and ever, as an alternative to the influential downward entailment theory (see below) proposed by Ladusaw (1980). Anastasia Giannakidou (1998) argued that various polarity phenomena observed in language are manifestations of the dependency of polarity items to the (non)veridicality of the context of appearance. The (non)veridical dependency may be positive (licensing), or negative (anti-licensing), and arises from the sensitivity semantics of polarity items. Across languages, different polarity items may show sensitivity to veridicality, anti-veridicality, or non-veridicality. Nonveridical operators typically license the use of polarity items, which in veridical contexts normally is ungrammatical:

* Mary saw any students. (The context is veridical.) Mary didn't see any students. (The context is nonveridical.)

Downward entailment

All downward entailing contexts are nonveridical. Because of this, theories based on nonveridicality can be seen as extending those based on downward entailment, allowing more cases of polarity item licensing to be explained. Downward entailment predicts that polarity items will be licensed in the scope of negation, downward entailing quantifiers like few N, at most n N, no N, and the restriction of every:

No students saw anything. Mary didn't see anything. Few children saw anything. Every student who saw anything should report to the police.

Non-monotone quantifiers Quantifiers like exactly three students, nobody but John, and almost nobody are non-monotone (and thus not downward entailing) but nevertheless admit any:

% Exactly three students saw anything. Nobody but Mary saw anything. Almost nobody saw anything.

Hardly and barely Hardly and barely allow for any despite not being downward entailing.

Mary hardly talked to anybody. (Does not entail "Mary hardly talked to her mother".) Mary barely studied anything. (Does not entail "Mary barely studied linguistics".)

Questions Polarity items are quite frequent in questions, although questions are not monotonic.

Did you see anything? Although questions biased towards the negative answer, such as "Do you [even] give a damn about any books?" (tag questions based on negative sentences exhibit even more such bias), can sometimes be seen as downward entailing, this approach cannot account for the general case, such as the above example where the context is perfectly neutral. Neither can it explain why negative questions, which naturally tend to be biased, don't license negative polarity items. In semantics which treats a question as the set of its true answers, the denotation of a polar question contains two possible answers:

[[Did you see Mary?]] = { you saw Mary ∨ you didn't see Mary } Because disjunction p ∨ q entails neither p nor q, the context is nonveridical, which explains the admittance of any.

Future Polarity items appear in future sentences.

Mary will buy any bottle of wine. The children will leave as soon as they discover anything. According to the formal definition of veridicality for temporal operators, future is nonveridical: that "John will buy a bottle of Merlot" is true now does not entail that "John buys a bottle of Merlot" is true at any instant up to and including now. On the other hand, past is veridical: that "John bought a bottle of Merlot" is true now entails that there is an instant preceding now at which "John buys a bottle of Merlot" is true.

Habitual aspect Likewise, nonveridicality of the habitual aspect licenses polarity items.

He usually reads any book very carefully. The habitual aspect is nonveridical because e.g., that "He is usually cheerful" is true over some interval of time does not entail that "He is cheerful" is true over every subinterval of that. This is in contrast to e.g., the progressive aspect, which is veridical and prohibits negative polarity items.

Generic sentences Non-monotone generic sentences accept polarity items.

Any cat hunts mice.

Modal verbs Modal verbs create generally good environments for polarity items:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Veridicality

Start with the simplest possible case. Write down what Veridicality claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Veridicality 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 Veridicality 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 Veridicality

In research
Veridicality appears in science 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 Veridicality 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
Veridicality is common in secondary-school and first-year university syllabi. It links to neighbouring topics Formal semantics (natural language), Grammar, Inference, so understanding it makes those chapters shorter.
In everyday life
Look for Veridicality 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 Veridicality in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Veridicality 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 Veridicality out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Veridicality in simple terms?

In linguistics, veridicality (from Latin "truthfully said") is a semantic or grammatical assertion of the truth of an utterance. Definition Merriam-Webster defines "veridical" as truthful, veracious and non illusory.

Why does Veridicality matter?

Because it connects several science 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 Veridicality?

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 Veridicality.

Tags

  • Formal semantics (natural language)
  • Grammar
  • Inference
  • Logical truth
  • Semantics

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