Fingerspelling can be very fast. Quinto-Pozos observes 5-8 characters per second.
\nhttps://www.purdue.edu/tislr10/pdfs/Quinto-Pozos%20fingerspelling.pdf
\nLonger words are fingerspelled quicker than shorter words.
\nJust like phonemes in speech, some letters may be elided (dropped).
\nWhen an experienced signer is receiving fingerspelling, they look at the overall shape of the the word rather than each individual letter to understand it. Sometimes when a signer is producing a word quickly, like E-L-E-P-H-A-N-T they will focus on producing the first few letters and the last letters clearly but may muddle or drop letters in the middle (E-L-E-muddle-N-T). The receiver can disambiguate the sign pretty easily given the context.
\nFor fingerspelled words that are new to a conversation (e.g., a person's name) or require precision (e.g., phone #s), fingerspelling may be slower. Known words (e.g., city names) may be faster and have more elision.
", "messages": [ { "id": 2296161, "postDate": "2023-06-11T15:29:45.987Z", "content": "Fingerspelling can be very fast. Quinto-Pozos observes 5-8 characters per second.
\nhttps://www.purdue.edu/tislr10/pdfs/Quinto-Pozos%20fingerspelling.pdf
\nLonger words are fingerspelled quicker than shorter words.
\nJust like phonemes in speech, some letters may be elided (dropped).
\nWhen an experienced signer is receiving fingerspelling, they look at the overall shape of the the word rather than each individual letter to understand it. Sometimes when a signer is producing a word quickly, like E-L-E-P-H-A-N-T they will focus on producing the first few letters and the last letters clearly but may muddle or drop letters in the middle (E-L-E-muddle-N-T). The receiver can disambiguate the sign pretty easily given the context.
\nFor fingerspelled words that are new to a conversation (e.g., a person's name) or require precision (e.g., phone #s), fingerspelling may be slower. Known words (e.g., city names) may be faster and have more elision.
", "rawMarkdown": "Fingerspelling can be very fast. Quinto-Pozos observes 5-8 characters per second.\n\n[https://www.purdue.edu/tislr10/pdfs/Quinto-Pozos%20fingerspelling.pdf](https://www.purdue.edu/tislr10/pdfs/Quinto-Pozos%20fingerspelling.pdf)\n\nLonger words are fingerspelled quicker than shorter words.\n\nJust like phonemes in speech, some letters may be elided (dropped).\n\nWhen an experienced signer is receiving fingerspelling, they look at the overall shape of the the word rather than each individual letter to understand it. Sometimes when a signer is producing a word quickly, like E-L-E-P-H-A-N-T they will focus on producing the first few letters and the last letters clearly but may muddle or drop letters in the middle (E-L-E-muddle-N-T). The receiver can disambiguate the sign pretty easily given the context.\n\nFor fingerspelled words that are new to a conversation (e.g., a person's name) or require precision (e.g., phone #s), fingerspelling may be slower. Known words (e.g., city names) may be faster and have more elision.\n\n\n\n\n", "votes": 18 }, { "id": 2296460, "postDate": "2023-06-11T21:28:31.623Z", "content": "Would it be possible to see an example of the fast muddled variant in the training or supplementary dataset?
\nI have been trying to find points with a low derivative where the signer might pause on a settled letter, but the approach is inconsistent, maybe the muddle in the middle is one reason for this?
Just about anyone signing JOB will show lots of co-articulation effects. Common long words are a good bet as well.
", "rawMarkdown": "Just about anyone signing JOB will show lots of co-articulation effects. Common long words are a good bet as well." } ] }, { "id": 2306490, "postDate": "2023-06-17T11:01:41.407Z", "content": "Good info thankyou
", "rawMarkdown": "Good info thankyou" } ], "comments": [ { "id": 2296460, "author_name": "FinnK", "author_url": "", "post_date": "2023-06-11T21:28:31.623000", "content": "Would it be possible to see an example of the fast muddled variant in the training or supplementary dataset?
\nI have been trying to find points with a low derivative where the signer might pause on a settled letter, but the approach is inconsistent, maybe the muddle in the middle is one reason for this?
Just about anyone signing JOB will show lots of co-articulation effects. Common long words are a good bet as well.
", "votes": 0, "replies": [] } ] }, { "id": 2306490, "author_name": "jacknrseo", "author_url": "", "post_date": "2023-06-17T11:01:41.407000", "content": "Good info thankyou
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "2296161": "Fingerspelling can be very fast. Quinto-Pozos observes 5-8 characters per second.\n\n[https://www.purdue.edu/tislr10/pdfs/Quinto-Pozos%20fingerspelling.pdf](https://www.purdue.edu/tislr10/pdfs/Quinto-Pozos%20fingerspelling.pdf)\n\nLonger words are fingerspelled quicker than shorter words.\n\nJust like phonemes in speech, some letters may be elided (dropped).\n\nWhen an experienced signer is receiving fingerspelling, they look at the overall shape of the the word rather than each individual letter to understand it. Sometimes when a signer is producing a word quickly, like E-L-E-P-H-A-N-T they will focus on producing the first few letters and the last letters clearly but may muddle or drop letters in the middle (E-L-E-muddle-N-T). The receiver can disambiguate the sign pretty easily given the context.\n\nFor fingerspelled words that are new to a conversation (e.g., a person's name) or require precision (e.g., phone #s), fingerspelling may be slower. Known words (e.g., city names) may be faster and have more elision.\n\n\n\n\n", "2296460": "Would it be possible to see an example of the fast muddled variant in the training or supplementary dataset? \nI have been trying to find points with a low derivative where the signer might pause on a settled letter, but the approach is inconsistent, maybe the muddle in the middle is one reason for this?", "2306490": "Good info thankyou" } }