Principal parts and morphological typology

By R. Finkel, Gregory T. Stump. 2007

97 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/984a2ff9785c686f37ae8212f5dff48634064e2a

How researchers see this paper

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In Artificial Intelligence

1. Adina Williams
2. Ryan Cotterell
3. Tiago Pimentel
4. Yonatan Belinkov
5. Edoardo Maria Ponti
6. Antonios Anastasopoulos
7. Shijie Wu
8. Josef Valvoda

Citations in the corpus

• SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection (2020, methodology): “For the other two models the team used the idea of lexeme’s principal parts (Finkel and Stump, 2007) and augmented the initial input (that only used the lemma as a source form) with entries corresponding to other (non-lemma) slots available for the lexeme.”
• Joint predictiveness in inflectional paradigms (2016, background): “We finally turn to the question of principal part systems (Hockett, 1967; Matthews, 1972; Finkel & Stump, 2007; Stump & Finkel, 2013) and their relation with implicative entropy.”