Alëna Aksënova


Learning Interactions of Local and Non-Local Phonotactic Constraints from Positive Input
Aniello De Santo | Alëna Aksënova
Proceedings of the Society for Computation in Linguistics 2021

How Might We Create Better Benchmarks for Speech Recognition?
Alëna Aksënova | Daan van Esch | James Flynn | Pavel Golik
Proceedings of the 1st Workshop on Benchmarking: Past, Present and Future

The applications of automatic speech recognition (ASR) systems are proliferating, in part due to recent significant quality improvements. However, as recent work indicates, even state-of-the-art speech recognition systems – some which deliver impressive benchmark results, struggle to generalize across use cases. We review relevant work, and, hoping to inform future benchmark development, outline a taxonomy of speech recognition use cases, proposed for the next generation of ASR benchmarks. We also survey work on metrics, in addition to the de facto standard Word Error Rate (WER) metric, and we introduce a versatile framework designed to describe interactions between linguistic variation and ASR performance metrics.


Formal Restrictions On Multiple Tiers
Alëna Aksënova | Sanket Deshmukh
Proceedings of the Society for Computation in Linguistics (SCiL) 2018


Morphotactics as Tier-Based Strictly Local Dependencies
Alëna Aksënova | Thomas Graf | Sedigheh Moradi
Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology

An Alternate View on Strong Lexicalization in TAG
Aniello De Santo | Alëna Aksënova | Thomas Graf
Proceedings of the 12th International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+12)