What can linguistics and deep learning contribute to each other?

11 September 2018

Papers citing "What can linguistics and deep learning contribute to each other?"

9 / 9 papers shown

Title
Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models Lennart Stöpler Rufat Asadli Mitja Nikolaus Ryan Cotterell Alex Warstadt LRM 37 0 0 09 May 2025
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora Alex Warstadt Aaron Mueller Leshem Choshen E. Wilcox Chengxu Zhuang ... Rafael Mosquera Bhargavi Paranjape Adina Williams Tal Linzen Ryan Cotterell 43 108 0 10 Apr 2025
Dissociating language and thought in large language models Kyle Mahowald Anna A. Ivanova I. Blank Nancy Kanwisher J. Tenenbaum Evelina Fedorenko ELM ReLM 29 209 0 16 Jan 2023
Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus Daniela Trotta R. Guarasci Elisa Leonardelli Sara Tonelli 42 30 0 24 Sep 2021
CxGBERT: BERT meets Construction Grammar Harish Tayyar Madabushi Laurence Romain Dagmar Divjak P. Milin 16 39 0 09 Nov 2020
Evaluating computational models of infant phonetic learning across languages Yevgen Matusevych Thomas Schatz Herman Kamper Naomi H Feldman Sharon Goldwater 13 14 0 06 Aug 2020
Emergence of Syntax Needs Minimal Supervision Raphaël Bailly Kata Gábor 36 5 0 03 May 2020
Probing the phonetic and phonological knowledge of tones in Mandarin TTS models Jian Zhu 18 8 0 23 Dec 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 52 718 0 21 Mar 2019