DeepAI
Log In Sign Up

Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks

03/31/2020
by   Prajit Dhar, et al.
0

It is now established that modern neural language models can be successfully trained on multiple languages simultaneously without changes to the underlying architecture, providing an easy way to adapt a variety of NLP models to low-resource languages. But what kind of knowledge is really shared among languages within these models? Does multilingual training mostly lead to an alignment of the lexical representation spaces or does it also enable the sharing of purely grammatical knowledge? In this paper we dissect different forms of cross-lingual transfer and look for its most determining factors, using a variety of models and probing tasks. We find that exposing our language models to a related language does not always increase grammatical knowledge in the target language, and that optimal conditions for lexical-semantic transfer may not be optimal for syntactic transfer.

READ FULL TEXT

page 6

page 7

page 8

page 9

07/12/2022

How Do Multilingual Encoders Learn Cross-lingual Representation?

NLP systems typically require support for more than one language. As dif...
10/31/2022

Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks

Large multilingual language models typically share their parameters acro...
10/24/2022

Adapters for Enhanced Modeling of Multilingual Knowledge and Text

Large language models appear to learn facts from the large text corpora ...
05/12/2021

Analysing The Impact Of Linguistic Features On Cross-Lingual Transfer

There is an increasing amount of evidence that in cases with little or n...
07/10/2022

FairDistillation: Mitigating Stereotyping in Language Models

Large pre-trained language models are successfully being used in a varie...
04/12/2022

Do Not Fire the Linguist: Grammatical Profiles Help Language Models Detect Semantic Change

Morphological and syntactic changes in word usage (as captured, e.g., by...
05/12/2016

Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning

We introduce polyglot language models, recurrent neural network models t...