astronomy

Linguistic Data Consortium

Linguistic Data Consortium is a astronomy 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 Linguistic Data Consortium rather than just read about it. In short: The Linguistic Data Consortium is an open consortium of universities, companies and government research laboratories. It creates, collects and distributes speech and text databases, lexicons, and other resources for linguistics research and development purposes.

Key takeaways

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

Reference excerpt

The Linguistic Data Consortium is an open consortium of universities, companies and government research laboratories. It creates, collects and distributes speech and text databases, lexicons, and other resources for linguistics research and development purposes. The University of Pennsylvania is the LDC's host institution. The LDC was founded in 1992 with a grant from the US Defense Advanced Research Projects Agency (DARPA), and is partly supported by grant IRI-9528587 from the Information and Intelligent Systems division of the National Science Foundation. The director of LDC is Mark Liberman. It subsumed the previous ACL Data Collection Initiative. Part of the motivation was to support the benchmark-oriented methodology of DARPA's Human Language Technology program. Previously, John R. Pierce directed the committee that produced the ALPAC report (1966), which caused a severe decrease in funding for linguistic AI for about 10 years. Later, Charles Wayne restarted funding in speech and language in the mid-1980s. In order to avoid the criticisms from the ALPAC report, they needed a way to demonstrate objective progress, which led to the benchmark-oriented methodology. DARPA would propose specific quantifiable and testable score targets on benchmarks, and teams being funded would attempt to reach the score targets. It was noted that by 1993, the data needed for training and benchmarking the models was big enough that "Not even the largest companies can easily afford enough of [the needed] data... Researchers at smaller companies and in universities risk being frozen out of the process almost entirely." The LDC provided a central location for creating and dispensing such data. There is a membership fee that has been increased once since its founding.

See also Corpus linguistics Cross-Linguistic Linked Data (CLLD) – project coordinating over a dozen linguistics databases; hosted by the Max Planck Institute (Germany) Machine translation Natural language processing Speech technology ACL Data Collection Initiative Charles Lynn Wayne

References

External links LDC Website

Worked examples

Example 1 — a first encounter with Linguistic Data Consortium

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

In research: Linguistic Data Consortium appears in astronomy 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 Linguistic Data Consortium 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: Linguistic Data Consortium is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1992 establishments in Pennsylvania, Applied linguistics, Consortia in the United States, so understanding it makes those chapters shorter.
In everyday life: Look for Linguistic Data Consortium 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.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Linguistic Data Consortium in 20 minutes

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

Frequently asked questions

What is Linguistic Data Consortium in simple terms?

Why does Linguistic Data Consortium matter?

Because it connects several astronomy 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 Linguistic Data Consortium?

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 Linguistic Data Consortium.