ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.08826
  4. Cited By
Inflecting when there's no majority: Limitations of encoder-decoder
  neural networks as cognitive models for German plurals

Inflecting when there's no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals

18 May 2020
Kate McCurdy
Sharon Goldwater
Adam Lopez
ArXivPDFHTML

Papers citing "Inflecting when there's no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals"

11 / 11 papers shown
Title
Is deeper always better? Replacing linear mappings with deep learning
  networks in the Discriminative Lexicon Model
Is deeper always better? Replacing linear mappings with deep learning networks in the Discriminative Lexicon Model
Maria Heitmeier
Valeria Schmidt
Hendrik P. A. Lensch
R. Baayen
44
1
0
05 Oct 2024
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into
  the Morphological Capabilities of a Large Language Model
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
Leonie Weissweiler
Valentin Hofmann
Anjali Kantharuban
Anna Cai
Ritam Dutt
...
Abhishek Vijayakumar
Haofei Yu
Hinrich Schütze
Kemal Oflazer
David R. Mortensen
38
10
0
23 Oct 2023
Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi
  (2023)
Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)
Jordan Kodner
Sarah Payne
Jeffrey Heinz
LRM
14
12
0
06 Aug 2023
Evaluating Transformer Models and Human Behaviors on Chinese Character
  Naming
Evaluating Transformer Models and Human Behaviors on Chinese Character Naming
Xiaomeng Ma
Lingyu Gao
11
0
0
22 Mar 2023
A Comprehensive Comparison of Neural Networks as Cognitive Models of
  Inflection
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection
Adam Wiemerslage
Shiran Dudy
Katharina Kann
14
3
0
22 Oct 2022
How do we get there? Evaluating transformer neural networks as cognitive
  models for English past tense inflection
How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection
Xiaomeng Ma
Lingyu Gao
29
2
0
17 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
129
95
0
06 Oct 2022
Modeling morphology with Linear Discriminative Learning: considerations
  and design choices
Modeling morphology with Linear Discriminative Learning: considerations and design choices
Maria Heitmeier
Yu-Ying Chuang
Raunern
23
20
0
15 Jun 2021
The Greedy and Recursive Search for Morphological Productivity
The Greedy and Recursive Search for Morphological Productivity
Caleb Belth
Sarah Payne
Deniz Beser
Jordan Kodner
Charles D. Yang
19
14
0
12 May 2021
Falling Through the Gaps: Neural Architectures as Models of
  Morphological Rule Learning
Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning
Deniz Beser
AI4CE
9
3
0
08 May 2021
OpenNMT: Neural Machine Translation Toolkit
OpenNMT: Neural Machine Translation Toolkit
Guillaume Klein
Yoon Kim
Yuntian Deng
Vincent Nguyen
Jean Senellart
Alexander M. Rush
146
119
0
28 May 2018
1