Add SL-FE (Sahin & Gokgoz, SignLang 2024) to Phonology section#158
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AmitMY
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Apr 28, 2026
| as well as non-manual features including eye aperture, head movement, and torso positioning [@liddell1989american;@johnson2011toward;@brentari2011sign;@sandler2012phonological]. | ||
| Not all possible phonemes are realized in both signed and spoken languages, and inventories of two languages' phonemes/features may not overlap completely. | ||
| Different languages are also subject to rules for the allowed combinations of features. | ||
| @sahin-gokgoz-2024-decoding introduce SL-FE, a framework that derives continuous phonological feature signals from pose estimation, enabling automated ELAN annotation as well as quantitative tests of theoretical phonological claims on Turkish Sign Language (TID). |
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should be in automatic annotation section
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Done — moved to the Automating Annotation section. |
AmitMY
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Apr 28, 2026
| ###### Automating Annotation {-} | ||
| One helpful research direction for collecting more data that enables the development of deployable SLP models is creating tools that can simplify or automate parts of the collection and annotation process. One of the most significant bottlenecks in obtaining more adequate signed language data is the time and scarcity of experts required to perform annotation. Therefore, tools that perform automatic parsing, detection of frame boundaries, extraction of articulatory features, suggestions for lexical annotations, and allow parts of the annotation process to be crowdsourced to non-experts, to name a few, have a high potential to facilitate and accelerate the availability of good data. | ||
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| @sahin-gokgoz-2024-decoding introduce SL-FE, a framework that derives continuous phonological feature signals from pose estimation, enabling automated ELAN annotation as well as quantitative tests of theoretical phonological claims on Turkish Sign Language (TID). |
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move to linguistic analysis section
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Done — moved to the |
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Adds Sahin & Gokgoz (2024) to the Phonology section, describing the SL-FE framework that derives continuous phonological feature signals from pose estimation for automated annotation and quantitative phonological analysis on TID. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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Summary
Paper: https://aclanthology.org/2024.signlang-1.37/
Code: https://github.com/karahan-sahin/Automated-Sign-Language-Feature-Extraction
Test plan
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