Cross|Lingual Transfer with Language|Specific Subnetworks for ...

Cross-Lingual Transfer with Language-Specific Subnetworks for ...

In this article, we propose novel methods for using language-specific subnetworks, which control cross-lingual parameter sharing, to reduce conflicts and ...

Cross-Lingual Transfer with Language-Specific Subnetworks for ...

In this article, we propose novel methods for using language-specific subnetworks, which control cross-lingual parameter sharing, to reduce conflicts and ...

[PDF] Data-Efficient Cross-Lingual Transfer with Language-Specific ...

Novel methods for using language-specific subnetworks, which control cross-lingual parameter sharing, to reduce conflicts and increase positive transfer ...

Cross-Lingual Transfer with Language-Specific Subnetworks ... - OUCI

Abstract Large multilingual language models typically share their parameters across all languages, which enables cross-lingual task transfer, but learning ...

[CL] Cross-Lingual Transfer with Language-Specific ... - ACL 2023

[CL] Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing. Rochelle Choenni, Dan Garrette, Ekaterina Shutova. Add to ...

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

In this paper, we propose novel methods for using language-specific subnetworks, which control cross-lingual parameter sharing, to reduce conflicts and increase ...

arXiv:2211.00106v1 [cs.CL] 31 Oct 2022

ing language-specific subnetworks, which control cross-lingual parameter sharing, to reduce conflicts and increase positive transfer during ...

Cross-Lingual Transfer with Language-Specific Subnetworks for ...

Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing. R. Choenni, D. Garrette, и E. Shutova. Computational ...

X-SNS: Cross-Lingual Transfer Prediction through Sub-Network ...

Cross-lingual transfer (XLT) is an emergent ability of multilingual language models that preserves their performance on a task to a ...

Cross-Lingual Transfer Prediction through Sub-Network Similarity

source language in cross-lingual transfer include those based on ... To extract a language-specific sub-network from a multilin- gual language ...

Cross-Lingual Transfer Prediction through Sub-Network Similarity

Abstract:Cross-lingual transfer (XLT) is an emergent ability of multilingual language models that preserves their performance on a task to a ...

Cross-Lingual Transfer with Large Language Models via Adaptive...

As an effective alternative to the direct fine-tuning on target tasks in specific languages, cross-lingual transfer addresses the challenges of limited ...

Cross-Lingual Transfer - Papers With Code

Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., ...

Investigating Language Neutrality of MultiLMs Multilingual ...

Cross-lingual sub-network transfer degrades as the sub-networks get sparser. • Language-specific parameters are retained for the language for which a sub-.

Cross-Lingual Syntactic Transfer with Limited Resources

We describe a simple but effective method for cross-lingual syntactic transfer of dependency parsers, in the scenario where a large amount ...

WAD-X: Improving Zero-shot Cross-lingual Transfer via Adapter ...

Cross-lingual transfer has enabled low-resource languages, for which the labeled data is limited, to perform a wide range of natural language ...

Improving Cross-Lingual Transfer Learning for End-to-End Speech ...

Specifically, we first translate high-resource ASR transcripts into a target lowresource language, with which a ST model is trained. Both ST and target ASR ...

Cross-Lingual Transfer Learning with DeepMind - YouTube

Multilingual models are necessary in order to democratise access to language technology. · Large language models trained on unlabelled data in ...

Discovering Language-neutral Sub-networks in ... - YouTube

... Multilingual pre-trained language models transfer remarkably well on cross-lingual downstream tasks. However, the extent to which they learn ...

Learning Language Specific Sub-network for Multilingual Machine ...

Further, the parameter sharing of multilingual NMT encour- ages transfer learning of different languages. An extreme case is zero-shot translation, where direct.