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#cross-lingual

3 curated events
papersTODAY 04:00 UTC

arXiv paper proposes sequential adapter stacking for low-resource ASR

A new arXiv preprint describes a method that stacks adapters sequentially to help large multilingual speech recognition models handle low-resource languages. The authors note that current systems perform unevenly, favoring high-resource languages and losing accuracy where labeled audio is scarce. The abstract covers the approach at a high level, with results and evaluation details not included in the excerpt.

asr/low-resource/cross-lingual/adapters
papersTODAY 04:00 UTC

Study Finds Data Scale, Not Latency, Shapes Cross-Lingual Transfer in Streaming ASR

A new arXiv paper examines whether a multilingual or English-only encoder is the better starting point when adapting streaming speech recognition models to another language. The authors report that the deciding factor is the amount of training data rather than latency considerations, challenging the assumption that multilingual encoders are always the stronger warm start.

speech-recognition/cross-lingual/multilingual/research
papersSEP 12 04:00 UTC

Cross-Lingual Clinical Annotation Projection Framed as Constrained Text Generation

A new arXiv paper examines whether clinical annotation projection between languages can be treated as a document-level generative task that keeps the original text intact. The work spans six languages and aims to output character-level annotations that can be verified automatically. The stated goal is to support the construction of multilingual clinical corpora.

clinical-nlp/cross-lingual/annotation/multilingual