1 |
What transfers in morphological inflection? Experiments with analogical models ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Formalizing Inflectional Paradigm Shape with Information Theory
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2021)
|
|
BASE
|
|
Show details
|
|
6 |
The Paradigm Discovery Problem
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
7 |
Interpreting Sequence-to-Sequence Models for Russian Inflectional Morphology
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
8 |
Stop the Morphological Cycle, I Want to Get Off: Modeling the Development of Fusion
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
9 |
Normalization may be ineffective for phonetic category learning ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Normalization may be ineffective for phonetic category learning
|
|
|
|
In: Proceedings of the Society for Computation in Linguistics (2019)
|
|
Abstract:
Sound categories often overlap in their acoustics, which can make phonetic learning difficult. Several studies argued that normalizing acoustics relative to context improves category separation (e.g. Dillon et al., 2013). However, recent work shows that normalization is ineffective for learning Japanese vowel length from spontaneous child-directed speech (Hitczenko et al., 2018). We show that this discrepancy arises from differences between spontaneous and controlled lab speech, and that normalization can increase category overlap when there are regularities in which contexts different sounds occur in - a hallmark of spontaneous speech. Therefore, normalization is unlikely to help in real, naturalistic phonetic learning situations.
|
|
Keyword:
Computational Linguistics; normalization; phonetic learning
|
|
URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1058&context=scil https://scholarworks.umass.edu/scil/vol2/iss1/51
|
|
BASE
|
|
Hide details
|
|
13 |
Giving Good Directions: Order of Mention Reflects Visual Salience
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Giving Good Directions: Order of Mention Reflects Visual Salience
|
|
|
|
BASE
|
|
Show details
|
|
15 |
POS induction with distributional and morphological information using a distance-dependent Chinese Restaurant Process
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Where's Wally: the influence of visual salience on referring expression generation
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Structured generative models for unsupervised named-entity clustering
|
|
|
|
BASE
|
|
Show details
|
|
|
|