Documentation

Linglib.Processing.DiscriminativeLexicon.Defs

Discriminative Lexicon Model — linear substrate #

The Discriminative Lexicon Model (DLM) is a theory of lexical processing in which form and meaning are related by learned mappings between vector spaces rather than by an inventory of stored, decomposed form–meaning entries ([baayen-2019]). At the endstate of learning the model is a pair of linear maps — the papers' comprehension matrix F (Ŝ = CF) and production matrix G (Ĉ = SG) — fitted by linear discriminative learning, the least-squares estimation of [heitmeier-chuang-baayen-2026]. The two maps are the model's entire "lexicon". The kernel of the production map is the DLM's neutralization locus: two meanings surface as identical forms iff their difference lies in LinearMap.ker D.production (LinearMap.sub_mem_ker_iff).

The deep replacements for the linear maps — ResLDL ([chuang-bell-tseng-baayen-2026]) and DDL ([heitmeier-schmidt-lensch-baayen-2025]) — are not formalised.

Main declarations #

References #

structure DiscriminativeLexicon.Linear (R : Type u_1) (F : Type u_2) (M : Type u_3) [Semiring R] [AddCommMonoid F] [AddCommMonoid M] [Module R F] [Module R M] :
Type (max u_2 u_3)

The endstate of a Discriminative Lexicon Model with linear mappings: a comprehension map and a production map between form and meaning carriers, fitted by linear discriminative learning ([heitmeier-chuang-baayen-2026]).

  • comprehension : F →ₗ[R] M

    The form → meaning map — the papers' comprehension matrix F (Ŝ = CF).

  • production : M →ₗ[R] F

    The meaning → form map — the papers' production matrix G (Ĉ = SG).

Instances For
    @[reducible, inline]
    abbrev DiscriminativeLexicon.FormVec (formDim : ) :

    A formDim-dimensional form vector over ℝ.

    Equations
    Instances For
      @[reducible, inline]
      abbrev DiscriminativeLexicon.MeaningVec (meaningDim : ) :

      A meaningDim-dimensional meaning vector over ℝ.

      Equations
      Instances For