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Journal articles on the topic 'American Sign Language'

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Published: 4 June 2021

Last updated: 25 July 2025

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1

Hayes, J. Laurence, and Karen L. Dilka. "American Sign Language." Special Services in the Schools 9, no. 1 (1995): 119–24. http://dx.doi.org/10.1300/j008v09n01_06.

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2

K, Mohammed Nihad. "American Sign Language Translator." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 3430–33. http://dx.doi.org/10.22214/ijraset.2022.41924.

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Abstract: Sign language is one of the ancient and most natural form of language for communication. Sign Language is being used by many people in the world, but only a small part of the population knows how to interpret the language. Which makes it tough for the Deaf people to communicate with other people. We used the Tensorflow object detection API in our research, which is an open-source framework for training and deploying object detection models.

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3

O'Brien, Jennifer. "Metaphoricity in the Signs of American Sign Language." Metaphor and Symbol 14, no. 3 (1999): 159–77. http://dx.doi.org/10.1207/s15327868ms140301.

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4

Fatima, Eesham, Waqasia Naeem, and Irfan Abbas. "THE INFLUENCE OF GENDER ON THE DISCOURSE MARKERS IN PAKISTANI SIGN LANGUAGE." Pakistan Journal of Social Research 04, no. 02 (2022): 1201–7. http://dx.doi.org/10.52567/pjsr.v4i2.616.

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This paper aims to shed light on the common discourse markers in Sign Language, particularly Pakistani Sign Language. Pakistani Sign Language is overlooked and emerges as a non-standardized. These gestures/ discourse markers will be studied in comparison to American Sign Language (ASL). The main features will be analysed that call for a detailed analysis based on the use, the universality and application. This research aims to study if there is any influence of gender on these discourse markers. The Pakistan Sign Language Corpus will be collected and analysed with the assistance of Sign Langua

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5

Stewart, Jesse. "A quantitative analysis of sign lengthening in American Sign Language." Sign Language and Linguistics 17, no. 1 (2014): 82–101. http://dx.doi.org/10.1075/sll.17.1.04ste.

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In spoken languages, disfluent speech, narrative effects, discourse information, and phrase position may influence the lengthening of segments beyond their typical duration. In sign languages, however, the primary use of the visual-gestural modality results in articulatory differences not expressed in spoken languages. This paper looks at sign lengthening in American Sign Language (ASL). Comparing two retellings of the Pear Story narrative from five signers, three primary lengthening mechanisms were identified: elongation, repetition, and deceleration. These mechanisms allow signers to incorpo

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Stewart, Jesse. "A quantitative analysis of sign lengthening in American Sign Language." Sign Language & Linguistics 17, no. 1 (2014): 82–101. https://doi.org/10.5281/zenodo.268582.

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In spoken languages, disfluent speech, narrative effects, discourse information, and phrase position may influence the lengthening of segments beyond their typical duration. In sign languages, however, the primary use of the visual-gestural modality results in articulatory differences not expressed in spoken languages. This paper looks at sign lengthening in American Sign Language (ASL). Comparing two retellings of the Pear Story narrative from five signers, three primary lengthening mechanisms were identified: <em>elongation</em>, <em>repetition</em>, and <em>deceleration</em>. These mechanis

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7

Shazia Saqib. "DATASET FOR AMERICAN SIGN LANGUAGE." Lahore Garrison University Research Journal of Computer Science and Information Technology 1, no. 4 (2017): 1–12. http://dx.doi.org/10.54692/lgurjcsit.2017.01049.

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For the deaf and dumb people, sign languages are the only path of communication. With the help of sign languages, physically disabled people can convey their feelings, emotions, and thoughts to other people. Since, for the common person, it is very complicated to understand these languages, these physically disabled persons are dependent on a, who interacts with the world to convey their thoughts and feelings. For the production of these sign languages, it was necessary to develop an efficient dataset. With 26 English alphabetical hand gesture images. Further, segmentation and classification a

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8

Lupton, L. "Fluency in American Sign Language." Journal of Deaf Studies and Deaf Education 3, no. 4 (1998): 320–28. http://dx.doi.org/10.1093/oxfordjournals.deafed.a014359.

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9

Sexton, A. L. "Grammaticalization in American sign language." Language Sciences 21, no. 2 (1999): 105–41. http://dx.doi.org/10.1016/s0388-0001(98)00017-5.

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10

Corina, David P., and Eva Gutierrez. "Embodiment and American Sign Language." Gesture 15, no. 3 (2016): 291–305. http://dx.doi.org/10.1075/gest.15.3.01cor.

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Little is known about how individual signs that occur in naturally produced signed languages are recognized. Here we examine whether sign understanding may be grounded in sensorimotor properties by evaluating a signer’s ability to make lexical decisions to American Sign Language (ASL) signs that are articulated either congruent with or incongruent with the observer’s own handedness. Our results show little evidence for handedness congruency effects for native signers’ perception of ASL, however handedness congruency effects were seen in non-native late learners of ASL and hearing ASL-English b

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11

Frishberg, Nancy, and Bonnie Gough. "Morphology in American Sign Language." Sign Language and Linguistics 3, no. 1 (2000): 103–31. http://dx.doi.org/10.1075/sll.3.1.08fri.

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12

Patil, Deepika, Aniket Patil, Akshay Patil, Amol More, and Suraj Shinde Patil. "Sign Language to Text Conversion." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 2613–18. http://dx.doi.org/10.22214/ijraset.2024.62147.

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Abstract: Sign language, being one of the oldest and most natural forms of communication, serves as a crucial means of expression for individuals with hearing and speech impairments. Deaf and dumb individuals heavily rely on sign language for communication, given their limitations in using spoken languages. In this context, we are introducing a real-time method utilizing neural networks for finger spelling based on American Sign Language (ASL). Automatic human gesture recognition, especially from camera images, has become an intriguing area for developing computer vision applications. Recogniz

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13

Krentz, Christopher. "Sign Mind: Studies in American Sign Language Poetics." Sign Language Studies 1, no. 3 (2001): 316–23. http://dx.doi.org/10.1353/sls.2001.0010.

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14

Chakole, Vijay V. "Educational Learning-Based Sign Language System Using Machine Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29753.

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This study proposes an innovative approach to multicultural education by integrating Indian Sign Language (ISL) and American Sign Language (ASL) through Machine Learning (ML) techniques. By collecting and preprocessing high-quality video data of ISL and ASL, we aim to develop ML models capable of recognizing and generating signs in both languages. Through bidirectional transfer learning and cross-language representation learning, we seek to enhance the learning experience and address common challenges in sign language acquisition. Additionally, personalized learning environments and culturally

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15

Dubey, Shriya, Smrithi Suryawanshi, Aditya Rachamalla, and K. Madhu Babu. "Sign Language Recognition." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 386–92. http://dx.doi.org/10.22214/ijraset.2023.48586.

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Abstract: People communicate using sign language by visually conveying sign patterns to portray purpose. One method of communicating with deaf-mute people is to use sign language mechanisms. One of the nonverbal communication strategies used in sign language is the hand gesture. Many manufacturers all over the world have created various sign language systems, but they are neither adaptable nor cost-effective for end users. We present a design that can recognize various American sign language static hand motions in real-time using transfer learning, Python, and OpenCV in this paper. “Hello, Yes

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16

Wilcox, Sherman. "Gesture and language." Gesture 4, no. 1 (2004): 43–73. http://dx.doi.org/10.1075/gest.4.1.04wil.

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In this paper I explore the role of gesture in the development of signed languages. Using data from American Sign Language, Catalan Sign Language, French Sign Language, and Italian Sign Language, as well as historical sources describing gesture in the Mediterranean region, I demonstrate that gesture enters the linguistic system via two distinct routes. In one, gesture serves as a source of lexical and grammatical morphemes in signed languages. In the second, elements become directly incorporated into signed language morphology, bypassing the lexical stage. Finally, I propose a unifying framewo

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17

Hauser, Peter C., Raylene Paludneviciene, Wanda Riddle, Kim B. Kurz, Karen Emmorey, and Jessica Contreras. "American Sign Language Comprehension Test: A Tool for Sign Language Researchers." Journal of Deaf Studies and Deaf Education 21, no. 1 (2015): 64–69. http://dx.doi.org/10.1093/deafed/env051.

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18

Chalcraft, Valerie J., and R. Allen Gardner. "Cross-fostered chimpanzees modulate signs of American Sign Language." Gesture 5, no. 1-2 (2005): 107–32. http://dx.doi.org/10.1075/gest.5.1-2.09cha.

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Evolutionary and developmental (Evo-Devo) biologists study the interaction between genetic endowment and developmental environment (Lewontin, 2001; Robert, 2004). Cross-fostering is a powerful tool for studying Evo-Devo. Chimpanzees lived under conditions very similar to the conditions of human children with human foster families who used American Sign Language (ASL) exclusively in their presence. In this environment, cross-fostered chimpanzees acquired and used signs as human children do. Intensive analyses of extensive video records of casual conversation show that Tatu at 46–48 months direc

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19

Chalcraft, Valerie J., and R. Allen Gardner. "Cross-fostered chimpanzees modulate signs of American Sign Language." Gestural Communication in Nonhuman and Human Primates 5, no. 1-2 (2005): 107–32. http://dx.doi.org/10.1075/gest.5.1.09cha.

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Evolutionary and developmental (Evo-Devo) biologists study the interaction between genetic endowment and developmental environment (Lewontin, 2001; Robert, 2004). Cross-fostering is a powerful tool for studying Evo-Devo. Chimpanzees lived under conditions very similar to the conditions of human children with human foster families who used American Sign Language (ASL) exclusively in their presence. In this environment, cross-fostered chimpanzees acquired and used signs as human children do. Intensive analyses of extensive video records of casual conversation show that Tatu at 46–48 months direc

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20

Trivedi, Kaustubh, Priyanka Gaikwad, Mahalaxmi Soma, Komal Bhore, and Prof Richa Agarwal. "Improve the Recognition Accuracy of Sign Language Gesture." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 4343–47. http://dx.doi.org/10.22214/ijraset.2022.43220.

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Abstract: Image classification is one of classical issue of concern in image processing. There are various techniques for solving this issue. Sign languages are natural language that used to communicate with deaf and mute people. There is much different sign language in the world. But the main focused of system is on Sign Language (SL) which is on the way of standardization in that the system will concentrated on hand gestures only. Hand gesture is very important part of the body for exchange ideas, messages, and thoughts among deaf and dumb people. The proposed system will recognize the numbe

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21

Nihalaani, Rachaell. "Sign Language Interpreter using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 2129–32. http://dx.doi.org/10.22214/ijraset.2021.38308.

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Abstract: Sign Language is invaluable to hearing and speaking impaired people and is their only way of communicating among themselves. However, it has limitations with its reach as the rest of the people have no information regarding sign language interpretation. Sign language is communicated via hand gestures and visual modes and is therefore used by hearing and speaking impaired people to intercommunicate. These languages have alphabets and grammar of their own, which cannot be understood by people who have no knowledge about the specific symbols and rules. Thus, it has become essential for

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22

Sarkar, Koyel, Chetan Shivramwar, and Diptanshu Mohabe. "Sign Language Interpreter." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 2253–57. http://dx.doi.org/10.22214/ijraset.2023.50527.

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Abstract: Sign language is one of the oldest and most natural form of language for communication, but since most people do not know sign language and interpreters are very difficult to come by, we have come up with a real time method using neural networks for fingerspelling based American sign language. In our method, the hand is first passed through a filter and after the filter is applied the hand is passed through a classifier which predicts the class of the hand gestures. Our method provides 95.7 % accuracy for the 26 letters of the alphabet.

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23

Khairnar1, Divyesh. "Real-Time Sign Language Interpretation for Inclusive Communication." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41312.

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Sign language plays a crucial role as a communication tool for both the deaf and hard-of- hearing communities, enabling them to engage and interact effectively within their own community as well as with others.However, communication barriers arise when individuals unfamiliar with sign language engage with those who rely on it, underscoring the need for inclusive solutions. Real-time sign language interpretation systems, leveraging machine learning and computer vision technologies, present a promising approach to bridging this gap. These systems convert sign language gestures into spoken or wri

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24

Gunjal, Prof S. P. "Sign Language Analysis Using CNN Algorithm." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem28223.

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Sign language is a rich and diverse mode of communication used by Deaf and hard of-hearing communities around the world. This paper presents a comprehensive analysis of sign language, focusing on its linguistic and gestural elements. Our study encompasses an exploration of the structural properties of sign languages, their historical evolution, and the cognitive and neural mechanisms underlying sign language processing. We begin by providing an overview of sign language as a natural and fully developed language with its own syntax, semantics, and phonological features. Drawing from various sig

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25

Gaikwad, Priyanka, Kaustubh Trivedi, Mahalaxmi Soma, Komal Bhore, and Prof Richa Agarwal. "A Survey on Sign Language Recognition with Efficient Hand Gesture Representation." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 21–25. http://dx.doi.org/10.22214/ijraset.2022.41963.

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Abstract: Image classification is one amongst classical issue of concern in image processing. There are various techniques for solving this issue. Sign languages are natural language that want to communicate with deaf and mute people. There's much different sign language within the world. But the most focused of system is on Sign language (SL) which is on the way of standardization there in the system will focused on hand gestures only. Hand gesture is extremely important a part of the body for exchange ideas, messages, and thoughts among deaf and dumb people. The proposed system will recogniz

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26

Reagan, Timothy. "LINGUISTICS OF AMERICAN SIGN LANGUAGE: AN INTRODUCTION (3rd ed.). Clayton Valli and Ceil Lucas. Washington, DC: Gallaudet University Press, 2001. Pp. xvi + 493. $60.00 cloth." Studies in Second Language Acquisition 25, no. 1 (2003): 157–58. http://dx.doi.org/10.1017/s0272263103210068.

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There are still people, including some who should know better, who believe that American Sign Language is in some sense not a “real” language. Such a position, though perhaps at least debatable 40 years ago, is simply no longer credible. There has been a vast amount of very sophisticated and competent linguistic, psycholinguistic, and sociolinguistic research conducted on American Sign Language since the publication of William Stokoe's landmark book, Sign language structure (1960/1992). Although there are many areas of debate about specific features of the phonology, morphology, syntax, and so

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27

Supalla, Samuel J. "The Arbitrary Name Sign System in American Sign Language." Sign Language Studies 1067, no. 1 (1990): 99–126. http://dx.doi.org/10.1353/sls.1990.0006.

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28

Lupton, Linda, and Macalyne Fristoe. "Sign Vocabulary Recognition in Students of American Sign Language." Sign Language Studies 1076, no. 1 (1992): 215–32. http://dx.doi.org/10.1353/sls.1992.0024.

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29

Tyrone, Martha E., and Claude E. Mauk. "Sign lowering and phonetic reduction in American Sign Language." Journal of Phonetics 38, no. 2 (2010): 317–28. http://dx.doi.org/10.1016/j.wocn.2010.02.003.

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30

Najlaa, Hayyawi Abbar Hasanain Hassan Shaheed. "The Difference Between American Sign Language and Body Language in Greetings." Multicultural Education 7, no. 5 (2021): 174. https://doi.org/10.5281/zenodo.4763144.

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<em>Permanency durability the non-verbal greetings are these greetings up to expectation work no longer necessity speaking then voice; then it can stay understood by way of whole classes over individuals. Greetings through physique gestures are the critical share of non-vocal greetings. They hold been mentioned throughout it delivery note according to dense standards about linguists. Moreover, that paper suggests the distinction in gesture or signal sound of definitive issues. Sign call is distinctive for incapable men and women between their talking yet hard of hearing ones, whilst the usage

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31

Snoddon, Kristin. "American Sign Language and Early Intervention." Canadian Modern Language Review 64, no. 4 (2008): 581–604. http://dx.doi.org/10.3138/cmlr.64.4.581.

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32

최영주. "Metonymy in American Sign Language Compounds." Discourse and Cognition 20, no. 3 (2013): 217–36. http://dx.doi.org/10.15718/discog.2013.20.3.217.

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33

Brentari, Diane, and Wendy Sandler. "Phonological Representation in American Sign Language." Language 68, no. 2 (1992): 359. http://dx.doi.org/10.2307/416945.

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34

Corina, D. P., S. Hafer, and K. Welch. "Phonological Awareness for American Sign Language." Journal of Deaf Studies and Deaf Education 19, no. 4 (2014): 530–45. http://dx.doi.org/10.1093/deafed/enu023.

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35

Hildebrandt, Ursula, and David Corina. "Phonological similarity in American Sign Language." Language and Cognitive Processes 17, no. 6 (2002): 593–612. http://dx.doi.org/10.1080/01690960143000371.

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36

Emmorey, Karen, Stephen McCullough, and Diane Brentari. "Categorical perception in American Sign Language." Language and Cognitive Processes 18, no. 1 (2003): 21–45. http://dx.doi.org/10.1080/01690960143000416.

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37

Rosen, Russell S. "American Sign Language Curricula: A Review." Sign Language Studies 10, no. 3 (2010): 348–81. http://dx.doi.org/10.1353/sls.0.0050.

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38

Liddell, Scott K., and Robert E. Johnson. "American Sign Language: The Phonological Base." Sign Language Studies 1064, no. 1 (1989): 195–277. http://dx.doi.org/10.1353/sls.1989.0027.

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39

Reilly, Judy S., Marina L. McIntire, and Howie Seago. "Affective Prosody in American Sign Language." Sign Language Studies 1075, no. 1 (1992): 113–28. http://dx.doi.org/10.1353/sls.1992.0035.

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40

Lucas, Ceil, Robert Bayley, Mary Rose, and Alyssa Wulf. "Location Variation in American Sign Language." Sign Language Studies 2, no. 4 (2002): 407–40. http://dx.doi.org/10.1353/sls.2002.0020.

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41

Morford, Jill Patterson, and James MacFarlane. "Frequency Characteristics of American Sign Language." Sign Language Studies 3, no. 2 (2003): 213–25. http://dx.doi.org/10.1353/sls.2003.0003.

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42

Matsuoka, Kazumi. "Verb raising in American Sign Language." Lingua 103, no. 2-3 (1997): 127–49. http://dx.doi.org/10.1016/s0024-3841(97)00015-6.

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43

Mirus, Gene, Jami Fisher, and Donna Jo Napoli. "Taboo expressions in American Sign Language." Lingua 122, no. 9 (2012): 1004–20. http://dx.doi.org/10.1016/j.lingua.2012.04.001.

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44

Wilbur, Ronnie B. "Foregrounding structures in American sign language." Journal of Pragmatics 22, no. 6 (1994): 647–72. http://dx.doi.org/10.1016/0378-2166(94)90034-5.

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45

Cianelli, S. N., and R. S. Fouts. "Chimpanzee to chimpanzee American Sign Language." Human Evolution 13, no. 3-4 (1998): 147–59. http://dx.doi.org/10.1007/bf02436502.

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46

Brentari, Diane. "Underspecification in American Sign Language Phonology." Annual Meeting of the Berkeley Linguistics Society 16, no. 1 (1990): 46. http://dx.doi.org/10.3765/bls.v16i0.1728.

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47

Brentari, Diane. "Prosodic Constraints in American Sign Language." Annual Meeting of the Berkeley Linguistics Society 20, no. 1 (1994): 103. http://dx.doi.org/10.3765/bls.v20i1.1461.

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Uyechi, Linda, and Janine Toole. "Formal Symmetry in American Sign Language." Annual Meeting of the Berkeley Linguistics Society 23, no. 1 (1997): 351. http://dx.doi.org/10.3765/bls.v23i1.1269.

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Janzen, Terry, Barbara O’Dea, and Barbara Shaffer. "Passive Constructions in American Sign Language." Annual Meeting of the Berkeley Linguistics Society 23, no. 1 (1997): 434. http://dx.doi.org/10.3765/bls.v23i1.1280.

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50

Abner, Natasha Renee. "Nominal Possession in American Sign Language." LSA Annual Meeting Extended Abstracts 3 (April 8, 2012): 14. http://dx.doi.org/10.3765/exabs.v0i0.586.

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This study re-visits an alternation in American Sign Language wherein the nominal member of a noun-verb pair is characterized by tense reduplication of the movement associated with the root (Newport and Supalla 1978, Klima and Bellugi 1979). This alternation is shown to be (a) highly productive but (b) constrained to the derivation of non-event nominalizations in the sense of Grimshaw (1990). The absence of an eventive interpretation supports root-level application of the morphosyntactic process involved and explains the observed restrictions on how possessor arguments in nominalizations of th

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