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Agreement syncretization and the loss of null subjects: quantificational models for Medieval French

Published online by Cambridge University Press:  13 November 2019

Alexandra Simonenko
Affiliation:
FWO/UGhent
Benoit Crabbé
Affiliation:
LLF, CNRS/Paris Diderot, USPC
Sophie Prévost
Affiliation:
Lattice, CNRS/ENS/Université Sorbonne Nouvelle/Université PSL/USPC*
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Abstract

This paper examines the nature of the dependency between the availability of null subjects and the “richness” of verbal subject agreement, known as Taraldsen's Generalisation (Adams, 1987; Rizzi, 1986; Roberts, 2014; Taraldsen, 1980). We present a corpus-based quantitative model of the syncretization of verbal subject agreement spanning the Medieval French period and evaluate two hypotheses relating agreement and null subjects: one relating the two as reflexes of the same grammatical property and a variational learning-based hypothesis whereby phonology-driven syncretization of agreement marking creates a learning bias against the null subject grammar. We show that only the latter approach has the potential to reconcile the intuition behind Taraldsen's Generalisation with the fact that it has proven nontrivial to formulate the notion of agreement richness in a way that would unequivocally predict whether a language has null subjects.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2019
Figure 0

Figure 1. Overt pronominal subjects in main and subordinate clauses (n = 76150).

Note: Absolute numbers of null and overt pronominal subjects for each text are given in Appendix B. We use frequencies to estimate probabilities.
Figure 1

Figure 2. Innovative -e (changes A, B, C) and -a endings (changes D, E).

Note: P(END = NEW | DATE = D, GR = I, P = 1) stands for the estimated probability of a Group I verb to have a new ending (i.e., -e) in the context of the 1st person singular subject, etc.
Figure 2

Figure 3. Innovative zero (change F) and -s ending (changes G, H, I).

Figure 3

Figure 4. Spread of new endings and overt pronominal subjects.

Figure 4

Table 1. Logistic regression estimates for the new endings and overt pronominal subjects (numbers of observations of null and overt expletive and personal pronominal subjects are given in Table 4B in Appendix B)

Figure 5

Figure 5. Logistic regression models of the emergence of the new endings.

Figure 6

Figure 6. Rise of -e with Group I verbs in the context of the 1st person singular subjects.

Figure 7

Figure 7. Pronominal subject expression with old and new endings.

Figure 8

Figure 8. Change reversal for Group II verbs in preterite with 3rd person subject.

Figure 9

Figure 9. Parsing probability of the TP-Grammar.

Figure 10

Figure 10. Parsing probability of the TP-Grammar (non-conservative*).

Note: Assuming that, in addition to -e, -s, zero following i/u, and -eies; also ambiguous were -t, -eiet, -it, -et, -at.
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