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Semantic lexicon

Semantic lexicon 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 Semantic lexicon rather than just read about it. In short: A semantic lexicon is a digital dictionary of words labeled with semantic classes so associations can be drawn between words that have not previously been encountered. Semantic lexicons are built upon semantic networks, which represent the semantic relations between words.

Semantic lexicon — main illustration
Semantic lexicon — illustration

Key takeaways

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

Reference excerpt

A semantic lexicon is a digital dictionary of words labeled with semantic classes so associations can be drawn between words that have not previously been encountered. Semantic lexicons are built upon semantic networks, which represent the semantic relations between words. The difference between a semantic lexicon and a semantic network is that a semantic lexicon has definitions for each word, or a "gloss".

Structure Semantic lexicons are made up of lexical entries. These entries are not orthographic, but semantic, eliminating issues of homonymy and polysemy. These lexical entries are interconnected with semantic relations, such as hyperonymy, hyponymy, meronymy, or troponymy. Synonymous entries are grouped together in what the Princeton WordNet calls "synsets" Most semantic lexicons are made up of four different "sub-nets": nouns, verbs, adjectives, and adverbs, though some researchers have taken steps to add an "artificial node" interconnecting the sub-nets.

Nouns Nouns are ordered into a taxonomy, structured into a hierarchy where the broadest and most encompassing noun is located at the top, such as "thing", with the nouns becoming more and more specific the further they are from the top. The very top noun in a semantic lexicon is called a unique beginner. The most specific nouns (those that do not have any subordinates), are terminal nodes. Semantic lexicons also distinguish between types, where a type of something has characteristics of a thing such as a Rhodesian Ridgeback being a type of dog, and instances, where something is an example of said thing, such as Dave Grohl is an instance of a musician. Instances are always terminal nodes because they are solitary and don’t have other words or ontological categories belonging to them. Semantic lexicons also address meronymy, which is a “part-to-whole” relationship, such as keys are part of a laptop. The necessary attributes that define a specific entry are also necessarily present in that entry’s hyponym. So, if a computer has keys, and a laptop is a type of computer, then a laptop must have keys. However, there are many instances where this distinction can become vague. A good example of this is the item chair. Most would define a chair as having legs and a seat (as in the part one sits on). However, there are some artistic or modern chairs that do not have legs at all. Beanbags also do not have legs, but few would argue that they aren't chairs. Questions like this are the core questions that drive research and work in the fields of taxonomy and ontology.

Verbs Verb synsets are arranged much like their noun counterparts: the more general and encompassing verbs are near the top of the hierarchy while troponyms (verbs that describe a more specific way of doing something) are grouped beneath. Verb specificity moves along a vector, with the verbs becoming more and more specific in reference to a certain quality. For example. The set "walk / run / sprint" becomes more specific in terms of the speed, and "dislike / hate / abhor" becomes more specific in terms of the intensity of the emotion. The ontological groupings and separations of verbs is far more arguable than their noun counterparts. It is widely accepted that a dog is a type of animal and that a stool is a type of chair, but it can be argued that abhor is on the same emotional plane as hate (that they are synonyms and not super/subordinates). It can also be argued that love and adore are synonyms, or that one is more specific than the other. Thus, the relations between verbs are not as agreed-upon as that of nouns. Another attribute of verb synset relations is that there are also ordered into verb pairs. In these pairs, one verb necessarily entails the other in the way that massacre entails kill, and know entails believe. These verb pairs can be troponyms and their superordinates, as is the case in the first example, or they can be in completely different ontological categories, as in the case in the second example.

Adjectives Adjective synset relations are very similar to verb synset relations. They are not quite as neatly hierarchical as the noun synset relations, and they have fewer tiers and more terminal nodes. However, there are generally less terminal nodes per ontological category in adjective synset relations than that of verbs. Adjectives in semantic lexicons are organized in word pairs as well, with the difference being that their word pairs are antonyms instead of entailments. More generic polar adjectives such as hot and cold, or happy and sad are paired. Then other adjectives that are semantically similar are linked to each of these words. Hot is linked to warm, heated, sizzling, and sweltering, while cold is linked to cool, chilly, freezing, and nippy. These semantically similar adjectives are considered indirect antonyms to the opposite polar adjective (i.e. nippy is an indirect antonym to hot). Adjectives that are derived from a verb or a noun are also directly linked to said verb or noun across sub-nets. For example, enjoyable is linked to the semantically similar adjectives agreeable, and pleasant, as well as to its origin verb, enjoy.

Adverbs There are very few adverbs accounted for in semantic lexicons. This is because most adverbs are taken directly from their adjective counterparts, in both meaning and form, and changed only morphologically (i.e. happily is derived from happy, and luckily is derived from lucky, which is derived from luck). The only adverbs that are accounted for specifically are ones without these connections, such as really, mostly, and hardly.

… excerpt ends here. Continue reading the full article.

Illustrations

Semantic lexicon: A visual representation of a Semantic Lexicon
A visual representation of a Semantic Lexicon

Worked examples

Example 1 — a first encounter with Semantic lexicon

Start with the simplest possible case. Write down what Semantic lexicon 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 Semantic lexicon 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 Semantic lexicon 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 Semantic lexicon

In research
Semantic lexicon 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 Semantic lexicon 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
Semantic lexicon is common in secondary-school and first-year university syllabi. It links to neighbouring topics Lexis (linguistics), Semantics, so understanding it makes those chapters shorter.
In everyday life
Look for Semantic lexicon 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 Semantic lexicon in 20 minutes

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

Frequently asked questions

What is Semantic lexicon in simple terms?

A semantic lexicon is a digital dictionary of words labeled with semantic classes so associations can be drawn between words that have not previously been encountered. Semantic lexicons are built upon semantic networks, which represent the semantic relations between words.

Why does Semantic lexicon 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 Semantic lexicon?

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 Semantic lexicon.

Tags

  • Lexis (linguistics)
  • Semantics

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