Linguistic Characterization of Sign Language Expressions for an Automatic Conversion from Natural Language Sentences

2006 ◽  
Vol 10 (1) ◽  
pp. 71-91
Author(s):  
Jiwon Choi ◽  
Eunyoung Chang ◽  
Hee-Jin Lee ◽  
Jong-Cheol Park
2021 ◽  
pp. 1-13
Author(s):  
Lamiae Benhayoun ◽  
Daniel Lang

BACKGROUND: The renewed advent of Artificial Intelligence (AI) is inducing profound changes in the classic categories of technology professions and is creating the need for new specific skills. OBJECTIVE: Identify the gaps in terms of skills between academic training on AI in French engineering and Business Schools, and the requirements of the labour market. METHOD: Extraction of AI training contents from the schools’ websites and scraping of a job advertisements’ website. Then, analysis based on a text mining approach with a Python code for Natural Language Processing. RESULTS: Categorization of occupations related to AI. Characterization of three classes of skills for the AI market: Technical, Soft and Interdisciplinary. Skills’ gaps concern some professional certifications and the mastery of specific tools, research abilities, and awareness of ethical and regulatory dimensions of AI. CONCLUSIONS: A deep analysis using algorithms for Natural Language Processing. Results that provide a better understanding of the AI capability components at the individual and the organizational levels. A study that can help shape educational programs to respond to the AI market requirements.


Author(s):  
Ranya Ahmed Rashid Shaheen, Abdelrahman Mudawi Abdelrahim Al Ranya Ahmed Rashid Shaheen, Abdelrahman Mudawi Abdelrahim Al

The object of inquiry in Linguistics is the human ability to acquire and use a natural language, and the goal of linguistic theory is an explicit characterization of that ability. Looking at the communicative abilities of other species, it becomes clear that our linguistic ability is specific to our species, undoubtedly a product of our biology. But how do we go about determining the specifics of this Language faculty? _here are two primary ways in which we infer the nature of Language from the properties of individual languages: arguments from the Poverty of the Stimulus, and the search for universals that characterize every natural language. Arguments of the first sort are not easy to construct (though not as difficult as sometimes suggested), and apply only to a tiny part of Language as a whole. Arguments from universals or typological generalizations are also quite problematic. In phonology, morphology, and syntax, factors of historical development, functional underpinnings, limitations of the learning situation, among others conspire to compromise the explanatory value of arguments from observed cross-linguistic regularities. Confounding the situation is the likelihood that properties found across languages as a consequence of such external forces have been incorporated into the Language faculty evolutionarily through the ‘Baldwin Effect.’ _e conflict between the biologically based specificity of the human Language faculty and the difficulty of establishing most of its properties in a secure way cannot, however, be avoided by ignoring or denying the reality of either of its poles.


2021 ◽  
Author(s):  
R. D. Rusiru Sewwantha ◽  
T. N. D. S. Ginige

Sign Language is the use of various gestures and symbols for communication. It is mainly used by disabled people with communication difficulties due to their speech or hearing impediments. Due to the lack of knowledge on sign language, natural language speakers like us, are not able to communicate with such people. As a result, a communication gap is created between sign language users and natural language speakers. It should also be noted that sign language differs from country to country. With American sign language being the most commonly used, in Sri Lanka, we use Sri Lankan/Sinhala sign language. In this research, the authors propose a mobile solution using a Region Based Convolutional Neural Network for object detection to reduce the communication gap between the sign users and language speakers by identifying and interpreting Sinhala sign language to Sinhala text using Natural Language Processing (NLP). The system is able to identify and interpret still gesture signs in real-time using the trained model. The proposed solution uses object detection for the identification of the signs.


Author(s):  
Friederike Moltmann

Natural language, it appears, reflects in part our conception of the world. Natural language displays a great range of types of referential noun phrases that seem to stand for objects of various ontological categories and types, and it also involves constructions, categories, and expressions that appear to convey ontological or notions. Natural language reflects its own ontology, an ontology that may differ from the ontology a philosopher may be willing to accept or even a nonphilosopher when thinking about what there is, and of course it may differ from the ontology of what there really is. This chapter gives a characterization of the ontology implicit in natural language and the entities it involves, situates natural language ontology within metaphysics, discusses what sorts of data may be considered reflective of the ontology of natural language, and addresses Chomsky’s dismissal of externalist semantics.


Author(s):  
Stephen Laurence ◽  
Eric Margolis

This article explains different views on concepts, which are among the most fundamental constructs in cognitive science. Michael Dummett argues that nonhuman animals are not capable of full-fledged conceptual thought but only a diminished form of thought, which he calls, proto-thought. Human beings can remove themselves from the moment and can rise above the confined world of current perceptions because of their linguistic abilities. Donald Davidson, a contemporary philosopher, denies that animals are capable of conceptual thought and claim that conceptual content requires a rich inferential network. Donald Davidson made an argument against animals having conceptual thought. Davidson's original formulation of the argument begins with the claim that having a belief requires having the concept of a belief but adds that having the concept of belief requires possession of a natural language. It follows, then, that to have a belief requires facility with natural language. The characterization of the conceptual/nonconceptual distinction that is implicit in Davidson's metacognitive argument is a complex one involving a capacity for belief about beliefs, a concept of belief, and concepts of truth and falsity. Both Robert Brandom and John McDowell argued that conceptual thought requires more than a capacity for detection. They claim that conceptual thought requires the ability to appreciate the reasons that would justify a given concept's application and use, and this, in turn, is inherently a social practice that is dependent on natural language


2004 ◽  
Vol 20 (2) ◽  
pp. 95-130 ◽  
Author(s):  
Hiroyuki Oshita

This article explores the issue of the psychological reality of null expletives, i.e., the silent counterparts of the so-called dummy subjects such as English it and there. Following Jackendoff’s (1997; 2002) notion of `defective’ lexical item, I define null expletives as extremely `defective’ words with syntactic properties but no semantic or phonological content. By comparing native speakers of pro-drop languages and those of topic-drop languages in terms of their grammatical judgement of and productive use of English, I argue that null expletives are very likely psychologically real to speakers of pro-drop languages but not to those of topic-drop languages. This conclusion is based on observations made in previous second language (L2) studies and the analysis of data obtained from a large corpus of nonnative English. The question of the unaccusative-unergative distinction in L2 grammar and the linguistic characterization of so-called free subject-verb inversion in pro-drop languages are also discussed in relation to the issue of the psychological reality of null expletives.


1983 ◽  
Vol 2 (1) ◽  
pp. 33-41 ◽  
Author(s):  
R López de Màntaras ◽  
J Aguilar Martin

2012 ◽  
Vol 4 (4) ◽  
pp. 297-318 ◽  
Author(s):  
Gareth Roberts ◽  
Bruno Galantucci

AbstractThe concept of duality of patterning (henceforth DP) has recently begun to undergo new scrutiny. In particular, the fact that Al-Sayyid Bedouin Sign Language (ABSL) does not appear to exhibit a layer of meaningless units (Sandler et al. 2011) casts doubt on the universality of DP as a defining feature of natural language. Why, then, do the vast majority of the world's languages exhibit DP? Two hypotheses have been suggested. The first is that DP is a necessary solution to the problem of conveying a large number of meanings; the second is that DP arises as a consequence of conventionalization. We tested these hypotheses in an experimental-semiotics study. Our results supported the hypothesis based on conventionalization but were inconclusive with regard to the hypothesis based on the number of meanings. At the same time, the task of measuring DP in an experimental-semiotics study presented interesting challenges, suggesting that the concept of DP may need some overhauling.


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