Sank's Glossary of Linguistics 
Distr-Dnz

DISTRIBUTED AGREE
(Syntax) Agreement applies in two stages, Agree Link and Agree Copy (Marušič et al. 2015, Marušič and Nevins 2020). Agree Copy before linearization → highest conjunct agreement (1); Agree Copy after linearization → closest conjunct agreement because the structure is flattened out as shown in (2).

  1. Agree-Copy before linearization: either default or agreement with DP1, regardless of word order, because what's visible to syntax is hierarchical structure.
    a.           HP
                / \
               /   \
              /     \
            HuPhi  ...&P[Plural]   ...
                    / \
                   /   \
                  /     \
               DP1αgen.pl /\
                       /  \
                      /    \
                     &     DP2βgen.pl
    
    
    b.             HP
                  /  \
                 /    \
                /      \
               /        \
            &P[Plural]     H′
             / \        / \
            /   \      /   \
           /     \    /     \
       DP1αgen.pl  /\  H      ...
                /  \
               /    \
              /      \
             &      DP2βgen.pl
    
  1. Agree-Copy after linearization: default gender or closest conjunct agreement, because hierarchical structure ceases to be visible.
    a. HuPhi DP1 & DP2  FCA with post-verbal subject
       |_____|
    b. DP1 & DP2 HuPhi   LCA with post-verbal subject
          |____|
 | Vicki Carstens, 2023

DISTRIBUTED MORPHOLOGY

  1. (Grammar) A theory of the architecture of grammar first proposed in the early 1990s at MIT by Morris Halle, Alec Marantz and their students and colleagues.
     Although there are numerous hypotheses and directions in current DM research, three core properties define the theory: Late Insertion, Underspecification, and Syntactic Hierarchical Structure All the Way Down.  | Rolf Noyer, 1999
  2. (Grammar) The basic principle of Distributed Morphology is that there is a single generative engine for the formation of both complex words and complex phrases: There is no division between syntax and morphology, and there is no Lexicon in the sense it has in traditional generative grammar. Distributed Morphology rejects the notion of a lexicon in the way it had been used. Any operation that would occur in the "lexicon" according to lexicalist approaches is considered too vague in Distributed Morphology, which instead distributes these operations over various steps and lists (Noyer 1999).
     The term Distributed Morphology is used because the morphology of an utterance is the product of operations distributed over more than one step, with content from more than one list (Nevins 2016). In contrast to lexicalist models of morphosyntax, Distributed Morphology posits three components in building an utterance:  | Wikipedia, 2022

DISTRIBUTIONAL HYPOTHESIS
See DISTRIBUTIONAL SEMANTICS.

DISTRIBUTIONAL LINGUISTICS
(General) A theory that was mainly based on the concept of distribution. Hence, the distribution of a linguistic unit is the set of syntactic environments where the unit can potentially occur. Within that framework, the work of the linguist consists in building paradigms or distributional classes which encompass a set of elements likely to occur in a given place or context.
 The method of investigation in Distributional Linguistics was a taxonomic one. Based on a discovery procedure also referred to as Immediate Constituent Analysis (ICA), it consisted in breaking up larger linguistic units into smaller ones known as their immediate constituents until one gets to the smallest units, that is non-lexical categories which could not be broken up any further. | LE BI LE Patrice, 2020

DISTRIBUTIONAL SEMANTICS

  1. (Semantics) DS aims to learn the meanings of linguistic expressions from a corpus of text. The core idea, known as the distributional hypothesis, is that the contexts in which an expression appears give us information about its meaning.
     The idea has roots in American structuralism (Harris 1954) and British lexicology (Firth 1951, 1957), and with the advent of modern computing, it began to be used in practice. In a notable early work, Spärck-Jones (1964) represented word meanings as Boolean vectors, based on a thesaurus.
     DS has become widespread in Natural Language Processing, first with the rise of count vectors (Erk 2012, Clark 2015), then of word embeddings (Mikolov et al. 2013), and most recently, of contextualized embeddings (Peters et al. 2018, Devlin et al. 2019). What all of these approaches share is that they learn representations in an unsupervised manner on a corpus. | Guy Emerson, 2020
  2. (Semantics) The hallmark of any model of distributional semantics (DS) is the assumption that the notion of semantic similarity, together with the other generalizations that are built upon it, can be defined in terms of linguistic distributions. This has come to be known as the Distributional Hypothesis (DH), which can be stated in the following way:
    Distributional Hypothesis
    The degree of semantic similarity between two linguistic expressions A and B is a function of the similarity of the linguistic contexts in which A and B can appear.
     Therefore, according to the DH, at least certain aspects of the meaning of lexical expressions depend on the distributional properties of such expressions, i.e. on the linguistic contexts in which they are observed. If this is true, by inspecting a significant number of linguistic contexts representative of the distributional and combinatorial behavior of a given word, we may find evidence about (some of) its semantic properties. A key issue is how this functional dependence between word distributions and semantic constitution is made explicit and explained, i.e. whether we conceive it to be merely correlational or instead a truly causal relation. The possible answers to this issue determine large differences within the field of DS. | Alessandro Lenci, 2008

DITRANSITIVE DIATHESIS

  1. (Syntax) Or, dative shift. The prototypical ditransitive verb is give. Its semantic participants are theme and goal/beneficiary. The theme is preceded by the goal/beneficiary in the construction. In diathesis alternation, the theme precedes the goal/beneficiary. What is different here is the syntactic structure; the verb is followed by the object (NP) which is then followed by the oblique theta (PP). The verb in a dative construction then subcategorizes for an NP followed by a PP. The subcategorization frame for the verb will be: V [ ____ NP PP]. An example in English is (1).
    1. Ama
      Agent
      gave
      Kofi
      Beneficiary
      the
      book.
      Theme
     When the sentence in (1) undergoes diathesis alternation it becomes (2).
    1. Ama
      Agent
      gave
      the
      book
      Theme
      to
      Kofi.
      Beneficiary
     The Ga (Kwa; Ghana) example in (3) is from the verb of change and possession.
    1. Amá
      Ama

      give.PST
      yòò
      woman
      lɛ̀
      DEF
      wòlò
      book
      'Ama gave the woman a book'.
     The verb ha 'give' also behaves the same way as the English verb give which subcategorizes for two noun phrases as objects. The theme wolo 'book' is preceded by the beneficiary yòò lɛ̀ 'the woman' in (3). The verb ha can be used to constructionally express "ditransitivity" as illustrated in (4).
    1. Amá
      Ama
      kɛ̀
      move
      wòlò
      book

      give.PST
      yòò
      woman
      lɛ̀
      DEF
      'Ama gave a book to the woman'.
     | Yvonne Akwele Amankwaa Ollennu, 2017
  2. (Syntax) Example:
    1. a. They served Alex the Chasselas.
      b. They served the Chasselas to Alex.
     | Richard Stockwell, 2022

 

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