Papers by Gerhard Jäger
Hard to Be Heard: Phoneme-Level ASR Analysis of Phonologically Complex, Low-Resource Endangered Languages (2026.findings-acl)
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| Challenge: | a phoneme-level analysis of automatic speech recognition (ASR) is performed on two low-resource, typologically complex East Caucasian languages. |
| Approach: | They propose a phoneme-level analysis of automatic speech recognition for two East Caucasian languages, Archi and Rutul. |
| Outcome: | The proposed model improves on existing models and improves in low-resource settings. |
Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics? (N18-2)
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| Challenge: | Phylogenetic trees are hypotheses of how sets of related languages evolved in time. |
| Approach: | They compare the performance of automatic cognate detection algorithms to classical manually annotated cognate sets. |
| Outcome: | The proposed methods perform better than classically annotated cognate sets . future work on phylogenetic reconstruction can profit from the results . |