1 |
DeepFry: Identifying Vocal Fry Using Deep Neural Networks ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
It’s alignment all the way down, but not all the way up: Speakers align on some features but not others within a dialogue
|
|
|
|
In: J Phon (2021)
|
|
BASE
|
|
Show details
|
|
5 |
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Acoustic-phonetic and auditory mechanisms of adaptation in the perception of sibilant fricatives
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Investigating the forensic applications of global and local temporal representations of speech for dialect discrimination
|
|
|
|
BASE
|
|
Show details
|
|
13 |
Predicting Declension Class from Form and Meaning
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
Abstract:
The noun lexica of many natural languages are divided into several declension classes with characteristic morphological properties. Class membership is far from deterministic, but the phonological form of a noun and/or its meaning can often provide imperfect clues. Here, we investigate the strength of those clues. More specifically, we operationalize this by measuring how much information, in bits, we can glean about declension class from knowing the form and/or meaning of nouns. We know that form and meaning are often also indicative of grammatical gender—which, as we quantitatively verify, can itself share information with declension class—so we also control for gender. We find for two Indo-European languages (Czech and German) that form and meaning respectively share significant amounts of information with class (and contribute additional information above and beyond gender). The three-way interaction between class, form, and meaning (given gender) is also significant. Our study is important for two reasons: First, we introduce a new method that provides additional quantitative support for a classic linguistic finding that form and meaning are relevant for the classification of nouns into declensions. Secondly, we show not only that individual declensions classes vary in the strength of their clues within a language, but also that these variations themselves vary across languages.
|
|
URL: https://doi.org/10.3929/ethz-b-000462306 https://hdl.handle.net/20.500.11850/462306
|
|
BASE
|
|
Hide details
|
|
14 |
A Corpus for Large-Scale Phonetic Typology
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
16 |
The phonological and phonetic encoding of information status in American English nuclear accents
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Constraints on variability in the voice onset time of L2 English stop consonants
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Information structure, affect, and prenuclear prominence in American English
|
|
|
|
BASE
|
|
Show details
|
|
|
|