Lexical database

A lexical database organizes information about the lexemes of a language. It can record forms, part of speech, definitions, word senses, examples and relationships among entries. A database representation makes these items separately identifiable and queryable rather than treating an entire entry as one unstructured string.^[ref]

For a toy design, an entry for bank can link to distinct word sense records for a financial institution and a river margin, each with an example sentence. A form record for banks can refer to the relevant entry without requiring duplicated definitions. Spelling is consequently an inadequate unique identifier: different lexical analyses can involve the same written form.

A lexical database can also connect entries to attested uses in a text corpus, as in FieldWorks Language Explorer. The stored relations support searches and revision, but the linguistic annotation still represents an analysis whose evidence must be retained.

WordNet is a lexical database that represents English word senses through synsets connected by labeled relationships. It groups meanings by part of speech, while keeping different meanings of the same written form distinct. Its organization therefore supports queries about concepts rather than spelling alone.^[ref]

For a toy information-retrieval task, suppose an annotated query uses the financial sense of bank. Expanding it with terms attached to a river-margin sense would introduce irrelevant results even though the spelling matches. A sense-aware representation supplies the distinction needed to avoid that error; a separate method still has to choose the intended sense from context.

WordNet also records relations such as hyponymy, connecting more specific concepts to broader ones. Following a labeled relation answers a different question from finding another member of the same synset.^[ref] Neither neighborhood nor shared spelling guarantees that two expressions can replace each other in every sentence.

A synset in WordNet is an unordered set of expressions grouped around one specified meaning. It contains a definition and usually examples, while relations connect it to other synsets. This differs from treating every meaning of one spelling as a single record.^[ref]

The provider illustrates synonymy with car and automobile. Their shared concept can be represented once while retaining both expressions. Conversely, a written form with several meanings participates in different synsets.^[ref]

For an original toy design, let one record contain two expressions for a vehicle and another contain an expression for a boat. There are three expression entries but two concept records. Counting expressions and counting meanings consequently answer different questions. The database's grouping is an explicit semantic analysis: it is useful for matching and navigation, but does not prove universal interchangeability in all registers or constructions.