noun
Let an agent handle nouns by type, grammar, inflection and usage across languages, for writing, learning and language technology.
Bundle → Layer → Finding → Questions Filled
4 bundles · 8 layers · 8 findings · 16 questions
Type Which noun.
Kind
Common or proper.
Kind
Noun type.
- Is this a common or proper, count or mass noun? definition
- How does that affect usage? definition
Identify
Tests.
Identify
Identification.
- Is this word functioning as a noun in this sentence? boundary
- Which test shows it? action
Grammar Forms.
Plural
Number.
Plural
Plural forms.
- What is the plural form, and is it irregular? definition
- Which reference confirms it? provenance
Gender and case
Agreement.
Gender and case
Gender and case.
- What gender or case does the noun take here? provenance
- Which article agrees with it? definition
Writing Usage.
Style
Clarity.
Style
Style.
- Would a verb be clearer than a noun phrase here? action
- Which style guide applies? provenance
Capitalisation
Rules.
Capitalisation
Capitalisation.
- Should this noun be capitalised in this language? provenance
- Is it a proper noun? boundary
Technology Tagging.
Tagging
POS tags.
Tagging
Part-of-speech tagging.
- How do taggers label this noun? provenance
- How accurate are they? measurement
Learning
Teaching.
Learning
Teaching.
- Which examples help learners recognise nouns? action
- 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
- Wikidata item Q1084: noun - identity and sense of the item
- 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