mathematics

John A. Bateman

John A. Bateman 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 John A. Bateman rather than just read about it. In short: John Arnold Bateman (born 1957) is a British linguist and semiotician known for his research on natural language generation and multimodality. He has worked at Kyoto University, the USC Information Sciences Institute, the German National Research Center for Information Technology, Saarland University, and the University of Stirling.

Key takeaways

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

Reference excerpt

John Arnold Bateman (born 1957) is a British linguist and semiotician known for his research on natural language generation and multimodality. He has worked at Kyoto University, the USC Information Sciences Institute, the German National Research Center for Information Technology, Saarland University, and the University of Stirling. As of 2023, he is Professor of English Applied Linguistics at the University of Bremen in Germany.

Key publications

Books Text generation and systemic-functional linguistics: experiences from English and Japanese (with Christian M. I. M. Matthiessen; Pinter, 1991). Multimodality and genre: A foundation for the systematic analysis of multimodal documents (Springer, 2008). Multimodal film analysis: How films mean (with Karl-Heinrich Schmidt; Routledge, 2012). Multimodality: Foundations, research and analysis – A problem-oriented introduction (with Janina Wildfeuer and Tuomo Hiippala; de Gruyter, 2017).

Articles and reports Bateman, J. A., Kasper, R. T., Moore, J. D., & Whitney, R. A. (1990). A general organization of knowledge for natural language processing: The penman upper model. Technical report, USC Information Sciences Institute. Bateman, J. A. (1997). Enabling technology for multilingual natural language generation: the KPML development environment. Natural Language Engineering, 3(1), 15–55. Bateman, J. A., Kamps, T., Kleinz, J., & Reichenberger, K. (2001). Towards constructive text, diagram, and layout generation for information presentation. Computational Linguistics, 27(3), 409–449. Bateman, J. A., Hois, J., Ross, R., & Tenbrink, T. (2010). A linguistic ontology of space for natural language processing. Artificial Intelligence, 174(14), 1027–1071.

References

Worked examples

Example 1 — a first encounter with John A. Bateman

Start with the simplest possible case. Write down what John A. Bateman 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 John A. Bateman 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 John A. Bateman 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 John A. Bateman

In research: John A. Bateman 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 John A. Bateman 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: John A. Bateman is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1957 births, 20th-century British linguists, 21st-century British linguists, so understanding it makes those chapters shorter.
In everyday life: Look for John A. Bateman 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 John A. Bateman in 20 minutes

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

Frequently asked questions

What is John A. Bateman in simple terms?

Why does John A. Bateman 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 John A. Bateman?

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 John A. Bateman.