Stress in Brazilian Portuguese is nearly well-behaved. In most non-verbal words it falls on the penultimate syllable; and it moves to the last when that one is heavy — closed, with a coda or a long vowel. Which means you can guess much of it from the right edge of the word alone, and the weight of the syllables there.
But there's a tail. Proparoxytones — stress on the antepenult — are a real minority the right edge doesn't foresee. And that's where the trap lies for a model that leans too hard on that cue: it nails the majority with room to spare and, in the same motion, erases the tail. The more categorical the edge cue, the more the proparoxytone's probability slides toward zero:
In constraint terms, it's the usual story: weight and right-alignment hand you the penult by default and the final when the end is heavy — but never the antepenult (Kager, 2004). There's no lever for it. A light syllable at the right, and the paroxytone wins:
A heavy final syllable, and stress jumps to it:
Notice that in both tableaux the proparoxytone loses — an architecture tied to weight and the edge simply can't reach it. And that has a consequence for whoever learns: a learner that maximizes fit to the regular pattern tends to regularize the exceptions away, unless something protects them — a lexical mark, a richer representation (Lee et al., 2025).
Worth seeing the sum: the distribution of stress over the three positions, and what categoricity does to the antepenult's tail:
import math
b = [0.0, 0.8, 0.4] # positional bias: antepenult, penult, final (default = penult)
def P(w, beta):
H = [w[i] + b[i] for i in range(3)]
e = [math.exp(beta * h) for h in H]; Z = sum(e)
return [x / Z for x in e]
w = [0, 0, 0] # three light syllables
print("categoricity β P(proparox) P(parox) P(oxy)")
for beta in [0.5, 1, 2, 4, 8]:
p = P(w, beta)
print(f" {beta:>3} {p[0]:.3f} {p[1]:.3f} {p[2]:.3f}")
In the end, certainty is a kind of forgetting. An almost-right rule rounds off the "almost" — and the tail, where the interesting exceptions live, is the first thing to go.
- Kager, R. (2004). Optimality Theory. Cambridge University Press.
- Lee, S. S., Pater, J., & Prickett, B. (2025). Representing and Learning Stress in a MaxEnt Framework. Proceedings of AMP 2023/2024.
Barroso, A. M. (2025). The weight of the last syllable. alexandrebarroso.com. https://alexandrebarroso.com/notes/the-weight-of-the-last-syllable.html
@misc{barroso2025theweightofthelastsyllable,
author = {Alexandre Menezes Barroso},
title = {The weight of the last syllable},
year = {2025},
howpublished = {alexandrebarroso.com},
url = {https://alexandrebarroso.com/notes/the-weight-of-the-last-syllable.html},
note = {alexandrebarroso.com}
}