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Published

noun

vr.tr.noun · thing-q1084

Let an agent handle nouns by type, grammar, inflection and usage across languages, for writing, learning and language technology.

Thing Registry Information and virtual systems INF.MED

Bundle → Layer → Finding → Questions Filled

4 bundles · 8 layers · 8 findings · 16 questions

Type Which noun.

Kind

Common or proper.

Kind

Noun type.

  1. Is this a common or proper, count or mass noun? definition
  2. How does that affect usage? definition

Identify

Tests.

Identify

Identification.

  1. Is this word functioning as a noun in this sentence? boundary
  2. Which test shows it? action
Grammar Forms.

Plural

Number.

Plural

Plural forms.

  1. What is the plural form, and is it irregular? definition
  2. Which reference confirms it? provenance

Gender and case

Agreement.

Gender and case

Gender and case.

  1. What gender or case does the noun take here? provenance
  2. Which article agrees with it? definition
Writing Usage.

Style

Clarity.

Style

Style.

  1. Would a verb be clearer than a noun phrase here? action
  2. Which style guide applies? provenance

Capitalisation

Rules.

Capitalisation

Capitalisation.

  1. Should this noun be capitalised in this language? provenance
  2. Is it a proper noun? boundary
Technology Tagging.

Tagging

POS tags.

Tagging

Part-of-speech tagging.

  1. How do taggers label this noun? provenance
  2. How accurate are they? measurement

Learning

Teaching.

Learning

Teaching.

  1. Which examples help learners recognise nouns? action
  2. Which errors are common? boundary

Classifiers Filled

Family
Thing Registry
Category
Information and virtual systems
Entry kind
thing
Plane
INF
Domain
INF.MED
Other names and narrower kinds
metasyntactic variable, ethnonym, socionym, bionym, biblical proper name, nominal adjective, -mey noun, noun class 3 (Meinhof), noun class 4 (Meinhof), noun class 1 (Meinhof), noun class 2 (Meinhof), noun class 5 (Meinhof)

What it is Filled

A word class that names people, places, things, ideas or qualities, typically functioning as the subject or object of a verb; kinds include common and proper nouns, count and mass nouns, and concrete and abstract nouns.

Why it exists Filled

Let an agent handle nouns by type, grammar, inflection and usage across languages, for writing, learning and language technology.

Distinguishing features Filled

  • Names entities
  • Heads noun phrases
  • Inflects for number, case or gender in many languages
  • Open word class

What robots and AI may and may not do Filled

Must not

  • Present the noun system of one language as universal.
  • Misgender people by using noun forms they have not chosen.
  • Invent grammar rules and cite them as authoritative.

Only with a human decision

  • Assessing language ability in tests with consequences.

May

  • Identify nouns and explain their grammatical roles in a stated language.
  • Use noun classes and gender correctly when writing in a language.

Moral aspects Filled

  • Grammatical gender and naming touch on how people are recognised.
  • Learners rely on accurate descriptions.

Who is affected

  • Language learners
  • People named and described

Owners Filled

Steward

Nobody: a concept of linguistics held in common.

Links to other meta-models Filled

parent

  • Q29888377 - registry parent class
  • Q8171 - registry parent class
  • Q82799 - registry parent class

related

  • word - category
  • noun phrase - syntax
  • inflection - morphology
  • name - proper nouns

What else AI and robots need to interact with it Filled

Identity and identifiers required Filled

  • Vercy registry: vr.tr.noun
  • Wikidata: Q1084 (https://www.wikidata.org/wiki/Q1084)

Direct properties not applicable Not applicable

Not applicable

Plane INF: no invented physical properties.

Recognition optional Filled

  • Can take articles and plurals in many languages
  • Capitalised in German and for proper nouns in English
  • Nominal adjectives blur the line
  • Words in text and speech.

Capabilities and actions required Filled

  • identify nouns and their types
  • form plurals and cases
  • handle gender and articles
  • support tagging in software

Hazards and failure modes required Filled

  • Mis-tagging nouns used as adjectives
  • Ignoring language differences

Standards and interfaces required Filled

  • Universal Dependencies part-of-speech tags

Context of use required Filled

  • Naming entities in language.
  • common nouns
  • proper nouns
  • count and mass nouns
  • abstract and concrete nouns
  • collective nouns

Sources Filled

  1. Wikidata item Q1084: noun - identity and sense of the item
  2. Wikipedia: Noun - general description of the item

Open questions

  • Should noun types be separate entries?
  • How should language-specific rules be linked?
  • How should proper names be handled?

Machine files

Provenance

thing registry research (pass 2) · unreviewed

Built from: models/things/publications/thing-q1084/spec.json