Add Gavrilescu et al. 2024 on content questions in sign language#127
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AmitMY
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Apr 28, 2026
| For example, the signer may produce the sign for "cup" on one hand while simultaneously pointing to the actual cup with the other to express "that cup." | ||
| Similarly to tone in spoken languages, the face and torso can convey additional affective information [@liddell2003grammar;@johnston2007australian]. | ||
| Facial expressions can modify adjectives, adverbs, and verbs; a head shake can negate a phrase or sentence; eye direction can help indicate referents. | ||
| Non-manual markers such as furrowed eyebrows further serve as primary cues for sentence type, for example distinguishing content questions from declaratives, and @gavrilescu-etal-2024-content compared corpus, elicitation, and fieldwork methods across Greek, French, and Swedish Sign Languages to characterize the distribution of wh-signs and their associated non-manuals. |
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long sentence, that also feels kinda awkward.
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Done — shortened to a single concise sentence. |
AmitMY
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Apr 28, 2026
| For example, the signer may produce the sign for "cup" on one hand while simultaneously pointing to the actual cup with the other to express "that cup." | ||
| Similarly to tone in spoken languages, the face and torso can convey additional affective information [@liddell2003grammar;@johnston2007australian]. | ||
| Facial expressions can modify adjectives, adverbs, and verbs; a head shake can negate a phrase or sentence; eye direction can help indicate referents. | ||
| @gavrilescu-etal-2024-content compared corpus, elicitation, and fieldwork methods across Greek, French, and Swedish Sign Languages to characterize the distribution of wh-signs and their non-manual markers. |
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wrong section. this section really explains what things are, while this papers explains an experiment
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Done — moved to the ELAN section under Annotation Tools (next to other corpus-based experimental studies). |
AmitMY
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Apr 28, 2026
| The content of annotations consists of Unicode text, and annotation documents are stored in an XML format (EAF). | ||
| ELAN is open source ([GPLv3](https://en.wikipedia.org/wiki/GNU_General_Public_License#Version_3)), and installation is [available](https://archive.mpi.nl/tla/elan/download) for Windows, macOS, and Linux. | ||
| PyMPI [@pympi-1.69] allows for simple python interaction with Elan files. | ||
| @gavrilescu-etal-2024-content compared corpus, elicitation, and fieldwork methods across Greek, French, and Swedish Sign Languages to characterize the distribution of wh-signs and their non-manual markers. |
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OK this probably belongs to a new section completely called Linguistic Analysis under tasks
Cite Gavrilescu et al. (2024) in the Sign Language Linguistics Overview, illustrating how non-manual markers cue sentence type for content questions across Greek, French, and Swedish Sign Languages. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
…ntal study, not 'what things are')
…l (review feedback)
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Done — created a new |
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src/references.bib.Test plan
python src/find_bare_citations.py src/references.bib src/index.md- no bare citations found.Generated with Claude Code