Challenge: Naively assuming English as a source language may hinder cross-lingual transfer . despite recent advances in cross-linguistic research, most studies have restricted themselves to two major assumptions .
Approach: They propose to integrate Romanized transcription beyond textual scripts to capture contact between these languages . they propose to use a benchmark dataset to further encourage in-depth studies of language contact .
Outcome: The proposed method allows for enhanced cross-lingual representations and effective zero-shot cross-linguistic transfer.

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Challenge: Previous cross-lingual transfer methods are limited to orthographic representation learning via textual scripts.
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Challenge: Similarity indexes like CKA and CCA are not suitable for cross-lingual learning analysis.
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