DE eng

Search in the Catalogues and Directories

Hits 1 – 5 of 5

1
{PROST}: {P}hysical Reasoning about Objects through Space and Time ...
BASE
Show details
2
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data ...
BASE
Show details
3
What Would a Teacher Do? {P}redicting Future Talk Moves ...
BASE
Show details
4
How to Adapt Your Pretrained Multilingual Model to 1600 Languages ...
BASE
Show details
5
Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge
In: Proceedings of the Society for Computation in Linguistics (2020)
Abstract: How does knowledge of one language’s morphology influence learning of inflection rules in a second one? In order to investigate this question in artificial neural network models, we perform experiments with a sequence-to-sequence architecture, which we train on different combinations of eight source and three target languages. A detailed analysis of the model outputs suggests the following conclusions: (i) if source and target language are closely related, acquisition of the target language’s inflectional morphology constitutes an easier task for the model; (ii) knowledge of a prefixing (resp. suffixing) language makes acquisition of a suffixing (resp. prefixing) language’s morphology more challenging; and (iii) surprisingly, a source language which exhibits an agglutinative morphology simplifies learning of a second language’s inflectional morphology, independent of their relatedness.
Keyword: Artificial Intelligence and Robotics; Computational Linguistics; Deep Learning; Inflection; Morphology; Neural Network; Pretraining; Transfer Learning
URL: https://scholarworks.umass.edu/scil/vol3/iss1/11
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1112&context=scil
BASE
Hide details

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
5
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern