Computer Science > Computation and Language
[Submitted on 15 Mar 2024 (v1), last revised 11 Nov 2024 (this version, v2)]
Title:MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling
View PDF HTML (experimental)Abstract:A major consideration in multilingual language modeling is how to best represent languages with diverse vocabularies and scripts. Although contemporary text encoding methods cover most of the world's writing systems, they exhibit bias towards the high-resource languages of the Global West. As a result, texts of underrepresented languages tend to be segmented into long sequences of linguistically meaningless units. To address the disparities, we introduce a new paradigm that encodes the same information with segments of consistent size across diverse languages. Our encoding convention (MYTE) is based on morphemes, as their inventories are more balanced across languages than characters, which are used in previous methods. We show that MYTE produces shorter encodings for all 99 analyzed languages, with the most notable improvements for non-European languages and non-Latin scripts. This, in turn, improves multilingual LM performance and diminishes the perplexity gap throughout diverse languages.
Submission history
From: Tomasz Limisiewicz [view email][v1] Fri, 15 Mar 2024 21:21:11 UTC (11,044 KB)
[v2] Mon, 11 Nov 2024 13:33:25 UTC (11,400 KB)
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