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Relational network theory

Relational network theory is a computer 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 Relational network theory rather than just read about it. In short: Relational Network Theory (RNT), also known as Neurocognitive Linguistics (NCL) and formerly as Stratificational Linguistics or Cognitive-Stratificational Linguistics, is a connectionist theoretical framework in linguistics primarily developed by Sydney Lamb which aims to integrate theoretical linguistics with neuroanatomy. It views the linguistic system of individual speakers, responsible for language comprehension…

Relational network theory — main illustration
Relational network theory — illustration

Key takeaways

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

Reference excerpt

Relational Network Theory (RNT), also known as Neurocognitive Linguistics (NCL) and formerly as Stratificational Linguistics or Cognitive-Stratificational Linguistics, is a connectionist theoretical framework in linguistics primarily developed by Sydney Lamb which aims to integrate theoretical linguistics with neuroanatomy. It views the linguistic system of individual speakers, responsible for language comprehension and production, as consisting of networks of relationships which interconnect across different "strata" (or "levels") of language. These relational networks are hypothesized to correspond to neural maps of cortical columns or minicolumns in the human brain. Consequently, RNT is related to the wider family of cognitive linguistic theories. Furthermore, as a functionalist approach to linguistics, RNT shares a close relationship with Systemic Functional Linguistics (SFL).

History The origins of Relational Network Theory date to 1957, when Sydney Lamb completed his PhD dissertation on the Uto-Aztecan language Mono. Contrary to prevailing structuralist methods at the time, which stipulated discovery procedures assuming two levels of structure (morphology and phonology), Lamb's dissertation argued that Mono was better described with four strata: the morphemic, allomorphic, morphophonemic, and phonemic. The relationships between the strata were postulated to be realizational, so that morphemes were realized by allomorphs, allomorphs realized by morphophonemes, and morphophonemes by phonemes. He later extended this argument to English in 1958 in a presentation to the Berkeley Linguistics Group. At this stage, Lamb regarded the main innovative insight of his new framework to be the multi-stratified structure of language, hence why "Stratificational Grammar" was initially chosen as the framework's name. The strata concept continued to be developed by Lamb under the influence of Louis Hjelmslev's glossematics, namely as an extension of Hjelmslev's notion of the linguistic sign as having an "expression plane" and a "content plane". In fall 1964, inspired by a passage from Hjelmslev's Prolegomena to a Theory of Language, Lamb developed the insight that realizational relationships between units of different strata constituted a network, and that the units themselves were nothing but points in the network defined solely by realizational relations with other points. Also in 1964, Lamb encountered Michael Halliday's system network notation from Systemic Functional Linguistics for the first time. Building on the network insight from Hjelmslev, Lamb made three adaptations to Halliday's notation to create relational network notation: (1) a 90 degree clockwise rotation of the diagrams, (2) the use of a triangle instead of curly brackets to represent conjunctive 'AND' nodes, and (3) the introduction of ordered realization. The first public presentation of the relational network notation was given a year later in 1965, in a lecture delivered by Lamb at the Linguistic Institute of the University of Michigan. Other linguists in attendance at that lecture included Ronald Langacker, Ruth Brend, and Lamb's students David G. Lockwood and Peter A. Reich. It was also in 1965 that Reich first pointed out to Lamb that his relational networks seemed strikingly similar to neurological networks, though Halliday states that Lamb was already aware of the possibility of relating linguistic theory to actual neural processes as early as 1963.

Overview RNT suggests that the linguistic system may be analyzed according to separate 'strata', or levels. The strata are ordered hierarchically and, whilst there are no clear-cut boundaries between strata, the elements of each stratum share similar characteristics. For example, a lexical item in the lexicogrammatical stratum is typically a specific sequence of phonemes which connects one or more lexical meanings in the semantic stratum. Several strata are involved in the production of a sound from an initial idea. In linguistic production, each stratum provides actualization or realization for the next lower stratum. Thus, speaking a word would involve a realizational pathway from the semantic stratum to the lexicogrammar, then the phonology, and then the phonetics. The reverse direction is true for linguistic perception and comprehension. Some commonly posited stratificational units and their strata include:

The phoneme as the unit on the phonemic stratum. The lexeme as the unit on the lexical or lexicogrammatical stratum. The morpheme as the unit on the morphemic stratum. The sememe as the unit on the semantic stratum. In contrast to generativist approaches to linguistics, Stratificational Linguistics does not support the notion of an autonomous stratum for syntax. Instead, the term 'lexicogrammar', borrowed from Systemic Functional Linguistics, is preferred because Stratificational Linguistics suggests that syntactic categories are merely labels for classifying different types of lexemes but do not actually play any role in the realization of the lexemes. Rather, it is posited that what is traditionally called 'syntax' is simply the result of what orderings or sequences of lexemes are possible in the lexicogrammatical system of an individual person. In other words, there is no need to posit a separate stratum for syntax to account for syntactic phenomena. It has been further suggested that each lexeme has its own syntactic pattern which determines how it combines with other lexemes, a stance shared with Construction Grammar.

Linguistic units in RNT are conceptualised as relational networks. Simply put, a linguistic unit at any stratum is defined in relation to other units. For example, the phonemic sequence /bɔɪ/ may be analyzed as a network node which is activated when the nodes for /b/, /ɔ/ and /ɪ/ are also activated. Similarly, the node for the sequence /thɔɪ/ gets activated when /th/, /ɔ/ and /ɪ/ are also activated. The two sequences /bɔɪ/ and /thɔɪ/ are defined in relation to the set of phoneme nodes /th/, /b/, /ɔ/ and /ɪ/, and their relationships can be graphed as a relational network diagram.

See also Meaning–text theory Neurolinguistics Systemic Functional Linguistics Construction Grammar Word Grammar Stratification

… excerpt ends here. Continue reading the full article.

Illustrations

Relational network theory: An example of a relational network fragment for producing and comprehending an English clause.
An example of a relational network fragment for producing and comprehending an English clause.
Relational network theory: Phonological analysis in Relational Network Theory/Stratificational Grammar.
Phonological analysis in Relational Network Theory/Stratificational Grammar.

Worked examples

Example 1 — a first encounter with Relational network theory

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

In research
Relational network theory appears in computer 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 Relational network theory 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
Relational network theory is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cognitive linguistics, Grammar frameworks, Linguistics, so understanding it makes those chapters shorter.
In everyday life
Look for Relational network theory 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 Relational network theory in 20 minutes

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

Frequently asked questions

What is Relational network theory in simple terms?

Relational Network Theory (RNT), also known as Neurocognitive Linguistics (NCL) and formerly as Stratificational Linguistics or Cognitive-Stratificational Linguistics, is a connectionist theoretical framework in linguistics primarily developed by Sydney Lamb which aims to integrate theoretical ling…

Why does Relational network theory matter?

Because it connects several computer 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 Relational network theory?

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 Relational network theory.

Tags

  • Cognitive linguistics
  • Grammar frameworks
  • Linguistics
  • Theories of language

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