Can Transformer be Too Compositional? Analysing Idiom Processing in
Neural Machine Translation

Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation

30 May 2022

Verna Dankers

Christopher G. Lucas

Papers citing "Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine Translation"

7 / 7 papers shown

Title
Geometric Signatures of Compositionality Across a Language Model's Lifetime Jin Hwa Lee Thomas Jiralerspong Lei Yu Yoshua Bengio Emily Cheng CoGe 75 0 0 02 Oct 2024
Divergences between Language Models and Human Brains Yuchen Zhou Emmy Liu Graham Neubig Michael J. Tarr Leila Wehbe 16 1 0 15 Nov 2023
LEACE: Perfect linear concept erasure in closed form Nora Belrose David Schneider-Joseph Shauli Ravfogel Ryan Cotterell Edward Raff Stella Biderman KELM MU 39 102 0 06 Jun 2023
The paradox of the compositionality of natural language: a neural machine translation case study Verna Dankers Elia Bruni Dieuwke Hupkes CoGe 152 75 0 12 Aug 2021
On Compositional Generalization of Neural Machine Translation Yafu Li Yongjing Yin Yulong Chen Yue Zhang 145 44 0 31 May 2021
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives Elena Voita Rico Sennrich Ivan Titov 179 181 0 03 Sep 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 196 876 0 03 May 2018