Publication: Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Date
Date
Date
Citations
Makarov, P., Ruzsics, T., & Clematide, S. (2017). Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection. 49–57. https://doi.org/10.18653/v1/K17-2004
Abstract
Abstract
Abstract
This paper presents the submissions by the University of Zurich to the SIGMORPHON 2017 shared task on morphological reinflection. The task is to predict the inflected form given a lemma and a set of morpho-syntactic features. We focus on neural network approaches that can tackle the task in a limited-resource setting. As the transduction of the lemma into the inflected form is dominated by copying over lemma characters, we propose two recurrent neural network architectures with hard monotonic attention that are strong at copying and,
Metrics
Additional indexing
Creators (Authors)
- Makarov, Peter
- Ruzsics, Tatiana
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Country
Event Country
Event Country
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Date available
Date available
Date available
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Citations
Makarov, P., Ruzsics, T., & Clematide, S. (2017). Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection. 49–57. https://doi.org/10.18653/v1/K17-2004
