2024
EACL
EACL 2024
Investigating the productivity of Passamaquoddy medials: A computational approach
Abstract
AbstractLittle is known about medials in Passamaquoddy, which appear to be involved in the construction of verb stems in the language. Investigating the productivity of such morphemes using traditional fieldwork methods is a difficult undertaking that can be made easier with computational methods. I first generated a list of possible verb stems using a simple Python script, then compared this list against Passamaquoddy text corpora to see how many of these tokens were attested. If a given medial is productive, we should expect to see it in a large portion of possible verb stems that include said medial. If this assumption is correct, the corpora analysis will be a key indicator in determining the productivity of individual medials.
🌉
Interdisciplinary Bridge
— Data Science & Analytics and Interdisciplinary and Machine Learning and Natural Language Processing
🧭
Keyword Pioneer
— morpheme productivity
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Speech & Audio