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Mathias Creutz

2 accepted papers

2022

A Closer Look at Parameter Contributions When Training Neural Language and Translation Models

COLING 2022main

We analyze the learning dynamics of neural language and translation models using Loss Change Allocation (LCA), an indicator that enables a fine-grained analysis of parameter updates when optimizing for the loss function. In other words, we can observe the contributions of different network component…

2021

An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation

EMNLP 2021main

Zero-shot translations is a fascinating feature of Multilingual Neural Machine Translation (MNMT) systems. These MNMT models are usually trained on English-centric data, i.e. English either as the source or target language, and with a language label prepended to the input indicating the target langu…