Journal articles: 'Identification du langage'

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Soler, Colette. "Avènement de l'Autre ?" Revista de Psicanálise Stylus, no. 37 (December 21, 2018): 11–30. http://dx.doi.org/10.31683/stylus.v0i37.367.

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Les avènements du réel sont divers et fonction des discours en exercice. Tout avènement est donc témoin de l’opérativité du langage. Quand, finalement, Freud dit : « Que veut la femme ? », c’est une formule de reconnaissance de la différence de la moitié des êtres sexués, mais ce n’est pas une formule d’avènement de La femme comme Autre. Lacan, en posant la conjonction de cette jouissance autre avec la logique du langage du pastout, a bien produit l’avènement de la « surmoïtié » en psychanalyse. L’avènement de la pastoute en psychanalyse soulève de nombreuses questions et cet article examine si, à la fin de l’analyse, l’analyse de la pastoute peut-elle destituer l’Autre radicalement barré par une identification au silence de l’innommable.

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Dubois, Danielle, and Liliane Sprenger-Charolles. "Perception/Interprétation du langage écrit : contexte et identification des mots au cours de la lecture." Intellectica. Revue de l'Association pour la Recherche Cognitive 5, no. 1 (1988): 113–46. http://dx.doi.org/10.3406/intel.1988.863.

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Prevost, Audrey, and Stéphanie Caët. "Interactions familiales d'un enfant jumeau avec retard de langage oral : identification de situations facilitatrices pour l'enfant." Travaux neuchâtelois de linguistique, no. 66 (January 1, 2017): 107–24. http://dx.doi.org/10.26034/tranel.2017.2886.

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The prevalence of speech and/or language delay in twins is higher than in singletons. Because of the specificity of the triadic situation in which twins acquire language, we wanted to analyze family interactions in order to identify situations that could facilitate the child's speech and be worked on in the context of a parental guidance. Video recordings were made at the home of one family of twins aged 6;2, in different situations: a family meal, a picture book reading, and a play time. Our analyses focused on one of the twins diagnosed with a speech and language delay. The child produced more and longer utterances in the picture book reading. This situation is also the situation where the rhythm of the interaction is slower, the child was most spoken to, with more open questions, and errors (in particular lexical errors) were almost all repaired by the adult (all repairs being in turn taken up by the child). The family meal is the situation where the child spoke the least and produced the shortest utterances; in this situation, although central in the child's everyday life and for his social and linguistic development, the child was rarely spoken to, questions were mostly closed, and errors less taken up.

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Chervet, Bernard. "Hystérie et identification hystérique. De la conversion à la contagion." Revue française de psychanalyse Vol. 88, no. 1 (January 31, 2024): 29–41. http://dx.doi.org/10.3917/rfp.881.0029.

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L’hystérie est au fondement de la psychanalyse, de la découverte de l’après-coup et de l’organisation en-deux-temps du fonctionnement psychique. Elle est caractérisée par la conversion corporelle. Ce processus réussit à relier des motions pulsionnelles inconscientes et des formulations langagières en latence par un accomplissement hallucinatoire de désir ; d’où un langage du corps. Se présentent deux énigmes, celles de l’inscription des pulsions dans le psychisme et du saut du psychisme dans le corps. La conversion s’implique dans l’installation de la sensualité de l’ensemble du corps et de ses zones érogènes, temps indispensable pour qu’existe dans un second temps la régression sensuelle propre à la vie érotique. L’identification hystérique nous apprend que les défauts de renoncement impliqués dans l’hystérie sont compensés par des contagions groupales d’éprouvés sensuels et émotionnels. Là où un renoncement manque, une mise en commun et en communauté s’impose. Plus les potentialités de mentalisation de l’hystérie tendent à se réduire, plus la contagion tend à se transformer en psychologie collective, en mutualité narcissique et en communauté de masse.

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Suganthi, Mrs Dr V., C. Thavapriya, and T. Mirudhu Bashini. "Sign Language Identification." International Journal of Research Publication and Reviews 5, no. 3 (March 21, 2024): 5997–6001. http://dx.doi.org/10.55248/gengpi.5.0324.0855.

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Wadji, Dany Laure, and Leonard Nguimfack. "Étiquetage et Identification au Contenu des Étiquettes: Une Étude de Cas des Mineurs Délinquants Incarcérés au Cameroun." European Scientific Journal, ESJ 18, no. 13 (April 30, 2022): 90. http://dx.doi.org/10.19044/esj.2022.v18n13p90.

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L’étiquetage est une pratique comportant des relents psychologiques qui consiste à référer une personne à une image parfois dévalorisante d’elle. Il est courant et visible dans les relations entre les parents et leurs enfants derrière un langage verbal dévalorisant, des insultes amoindrissantes, des sanctions ou des tâches en fonction des représentations. L'objectif de cette recherche était de contribuer à une meilleure compréhension de l'étiquetage et de son impact sur le processus d'identification des jeunes délinquants. Nous avons recruté trois détenus mineurs (âgés entre 16 à 18 ans) de la prison centrale de Bamenda au Cameroun et mené des entretiens semi-directifs. Les analyses de contenu des entretiens ont indiqué que l’étiquetage a conduit à l’acceptation de la référence à l'étiquette, une auto-valorisation de l’étiquette et plus loin la défense du parent qui étiquète. Les résultats de cette étude pourraient permettre la prise de conscience des effets de l’étiquetage sur le développement de l’enfant en Afrique sub-saharienne ainsi que le développement des stratégies d'intervention et une meilleure prise en charge des jeunes délinquants placés en institutions pénitentiaires. Labeling is a practice with psychological overtones that involves referring a person to a sometimes degrading image of him or herself. It is common and visible in the relationships between parents and their children behind devalorising verbal language, insults, sanctions or tasks depending on the representations. The purpose of this research was to contribute to a better understanding of labeling and its impact on the identification process of young offenders. We recruited three juvenile inmates (ages 16-18) from the Bamenda Central Prison in Cameroon and conducted semi-structured interviews. Content analyses of the interviews indicated that labeling led to acceptance of reference to the label, a self-valorisation of the label, and further the defense of the labeling parent. The results of this study could help to raise awareness of the effects of labelling on child development in sub-Saharan Africa, as well as the development of intervention strategies and better care for young offenders incarcerated in prisons.

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Kumar, P. Vijay, and A. Raviteja A. Raviteja. "Automatic Indian Language Identification." International Journal of Scientific Research 2, no. 4 (June 1, 2012): 79–82. http://dx.doi.org/10.15373/22778179/apr2013/31.

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Royer-Zemmour, Barbara, Patrice Roll, Pierre Cau, and Pierre Szepetowski. "Épilepsies et aires du langage : identification et étude de l'interaction de SPRX2, protéine à domaines sushi, avec uPAR, récepteur de l'activateur du plasminogène." Epilepsies 22, no. 1 (January 2010): 14–17. http://dx.doi.org/10.1684/epi.2010.0288.

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Prosianyk, Oksana, and Olena Afanasieva. "PHILOSOPHICAL ORIGINS OF PSYCHOLOGICAL SOCIOLOGISM IN THE METHODOLOGY OF F. DE SAUSSURE: "RELATIONISM OF G. TARDE"." Bulletin of Taras Shevchenko National University of Kyiv. Literary Studies. Linguistics. Folklore Studies, no. 29 (2021): 27–30. http://dx.doi.org/10.17721/1728-2659.2021.29.7.

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The article raises the problem of philosophical principles and origins of the views of F. de Saussure, namely sociological psychologism in his methodology. The F. de Saussure's autographed materials which appeared in 2002 made it possible to reassess not only the theoretical provisions of the concept of F. de Saussure, but also the problem of philosophical origins of psychological sociologism in the methodology of F. de Saussure. The myth about E. Durkheim as the F. de Saussure's inspirer is firmly rooted in linguistics. The results of the research showed an obvious similarity between the theories of F. de Saussure and G. Tarde. For G. Tarde, society is a vital function of a particular person and a derivative of the experiences of particular people, but for F. de Saussure, the object of linguistics is the socialized linguistic activity of particular people, their informational coexistence with the help of language as a means and speech as a tool, i.e., language and speech are functions of language activity and derivatives of interactions of specific people. G. Tarde was inclined to understand the evolution of sociality as an experiential and purposeful development of interpersonal relations, as a result of which individuals have social functions. F. de Saussure has such an idea hidden in the assertion that all innovations do not come from the language system itself, they are not a priori laid down there, language does not develop by itself and for itself, it is not a priori determined by objective laws of self-development, but it depends on the joint realization of language activity by people (langage), and more specifically – they appear in human speech, i.e. language interaction (discours) and acts of speech will of individuals – language acts, statements (parole). Both G. Tarde and F. de Saussure see the analogy between language and other social institutions, traditions and customs, in particular. At the same time, F. de Saussure warns against unambiguous identification of the nature of these "social facts", because, in contrast to the ritual by their nature religion, morality or traditions, language is a living means of semiological and mental interaction of people.

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Bogacki, Krzysztof. "Est-il possible de se mettre d’accord sur le sens à donner au terme de pragmatème ?" NEO 32 (December 23, 2020): 77–88. http://dx.doi.org/10.31261/neo.2020.32.04.

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The term ‘pragmateme’ has been coined relatively recently and therefore its usage is still hesitant and its definitions lack precision. This makes it difficult to delimit the scope of all that relates to the intuition of the term. We believe that two criteria are crucial for the identification of the concept. First, it would signify an autonomous linguistic unit implying an act of enunciation, characterised by the adequacy between selecting an appropriate linguistic segment and its application, with all that it entails as constraints. This criterion derives from classical logic, based on the binary opposition of truth and falsehood. The other element of the definition of the pragmateme is difficult to apply due to its subjectivity. It can be described in terms of many-valued fuzzy logic. It requires that a privileged link be created in the consciousness of langage users between a particular formulation, conveying a given semantic content and other, competing formulations. Neither of the two criteria is correlated with formal exponents, which prevents them from being used in a database compiled for the purpose of creating a dictionary of pragmatemes

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Shimi, G., C. Jerin Mahibha, and Durairaj Thenmozhi. "An Empirical Analysis of Language Detection in Dravidian Languages." Indian Journal Of Science And Technology 17, no. 15 (April 16, 2024): 1515–26. http://dx.doi.org/10.17485/ijst/v17i15.765.

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Objectives: Language detection is the process of identifying a language associated with a text. The proposed system aims to detect the Dravidian language that is associated with the given text using different machine learning and deep learning algorithms. The paper presents an empirical analysis of the results obtained using the different models. It also aims to evaluate the performance of a language agnostic model for the purpose of language detection. Method: An empirical analysis of Dravidian language identification in social media text using machine learning and deep learning approaches with k-fold cross validation has been implemented. The identification of Dravidian languages, including Tamil, Malayalam, Tamil Code Mix, and Malayalam Code Mix, is performed using both machine learning (ML) and deep learning algorithms. The machine learning algorithms used for language detection are Naive Bayes (NB), Multinomial Logistic Regression (MLR), Support Vector Machine (SVM), and Random Forest (RF). The supervised Deep Learning (DL) models used include BERT, mBERT and language agnostic models. Findings: The language agnostic model outperform all other models considering the task of language detection in Dravidian languages. The results of both the ML and DL models are analyzed empirically with performance measures like accuracy, precision, recall, and f1-score. The accuracy associated with different machine learning algorithms varies from 85% to 89%. It is evident from the experimental result that the deep learning model outperformed with an accuracy of 98%. Novelty: The proposed system emphasizes on the use of the language agnostic model to implement the process of detecting Dravidian languages associated with the given text which provides a promising result of 98% accuracy which is higher than the existing methodologies. Keywords: Language, Machine learning, Deep learning, Transformer model, Encoder, Decoder

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Merllié, Dominique. "Les Classements Professionnels dans les Enquêtes de Mobilité." Annales. Histoire, Sciences Sociales 45, no. 6 (December 1990): 1317–33. http://dx.doi.org/10.3406/ahess.1990.278910.

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Parmi les facteurs qui ont convergé pour faire de la « mobilité sociale » un des thèmes centraux, ou en tout cas très généralement reconnu comme important, de la sociologie, figure sans doute en bonne place son identification avec l'outil statistique des tables de mobilité et des indices qu'elles permettent de construire. L'existence d'une technique statistique d'usage assez général a permis à la fois de poser les problèmes dans un langage apparemment commun et d'imprimer au développement des recherches un tour plutôt méthodologique. Ces travaux se sont concentrés sur les méthodes de présentation, d'analyse ou d'interprétation des résultats, beaucoup plus que sur celles, en amont, de leur établissement. La logique de la division technique du travail statistique reposant sur des enquêtes importantes poussait dans ce sens, mais la logique comparative aussi. Une enquête sur la mobilité n'est informative que par comparaison : comparaisons avec d'autres enquêtes réalisées ailleurs ou à un autre moment (permettant d'identifier des conditions socio-historiques de la mobilité) ; comparaisons internes, de sous-populations, permettant d'observer des « canaux » de mobilité, des catégories, générations, etc. diversement mobiles ; même l'analyse d'une seule enquête suppose qu'on en situe les résultats dans la gamme de ceux qui étaient possibles compte tenu des caractéristiques techniques des tables construites.

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N.S, Shvaikina, and Laryushkina E.E. "Identification of Ways to Prevent and Overcome the Language Barrier in Foreign Language Classes." Addiction Research and Adolescent Behaviour 5, no. 3 (April 29, 2022): 01–02. http://dx.doi.org/10.31579/2688-7517/046.

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Some students lose their motivation to learn a foreign language at school, as they may have had a negative experience. In order for a teacher to increase motivation to learn a second language, it is necessary to create a situation of success.

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Bose, Smarajit, Amita Pal, Anish Mukherjee, and Debasmita Das. "Improved Language-Independent Speaker Identification in a Non-contemporaneous Setup." International Journal of Machine Learning and Computing 10, no. 5 (October 5, 2020): 630–36. http://dx.doi.org/10.18178/ijmlc.2020.10.5.984.

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Wang Yankai, 王延凯, 龙华 Long Hua, 邵玉斌 Shao Yubin, 杜庆治 Du Qingzhi, and 王瑶 Wang Yao. "基于联合端点检测和动态范围控制的语种识别." Laser & Optoelectronics Progress 59, no. 13 (2022): 1307001. http://dx.doi.org/10.3788/lop202259.1307001.

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Yeotikar, Priyanka P., and P. R. Deshmukh P. R. Deshmukh. "Language identification of text words from tri-lingual document through Discriminating features." International Journal of Scientific Research 2, no. 6 (June 1, 2012): 176–77. http://dx.doi.org/10.15373/22778179/june2013/56.

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Qafmolla, Nejla. "Automatic Language Identification." European Journal of Language and Literature 7, no. 1 (January 21, 2017): 140. http://dx.doi.org/10.26417/ejls.v7i1.p140-150.

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Automatic Language Identification (LID) is the process of automatically identifying the language of spoken utterance or written material. LID has received much attention due to its application to major areas of research and long-aspired dreams in computational sciences, namely Machine Translation (MT), Speech Recognition (SR) and Data Mining (DM). A considerable increase in the amount of and access to data provided not only by experts but also by users all over the Internet has resulted into both the development of different approaches in the area of LID – so as to generate more efficient systems – as well as major challenges that are still in the eye of the storm of this field. Despite the fact that the current approaches have accomplished considerable success, future research concerning some issues remains on the table. The aim of this paper shall not be to describe the historic background of this field of studies, but rather to provide an overview of the current state of LID systems, as well as to classify the approaches developed to accomplish them. LID systems have advanced and are continuously evolving. Some of the issues that need special attention and improvement are semantics, the identification of various dialects and varieties of a language, identification of spelling errors, data retrieval, multilingual documents, MT and speech-to-speech translation. Methods applied to date have been good from a technical point of view, but not from a semantic one.

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Zissman, Marc A., and Kay M. Berkling. "Automatic language identification." Speech Communication 35, no. 1-2 (August 2001): 115–24. http://dx.doi.org/10.1016/s0167-6393(00)00099-6.

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Van Segbroeck, Maarten, Ruchir Travadi, and Shrikanth S. Narayanan. "Rapid Language Identification." IEEE/ACM Transactions on Audio, Speech, and Language Processing 23, no. 7 (July 2015): 1118–29. http://dx.doi.org/10.1109/taslp.2015.2419978.

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Noguera Díaz, Yolanda. "A multidimensional analysis of two registers of English for Navy submariners." Language Value 15, no. 2 (December 22, 2022): 81–111. http://dx.doi.org/10.6035/languagev.7019.

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This research explores the differences and similarities found in two corpora representative of two registers of relevance for Navy submariners in the Spanish Navy Submarine Warfare School. It shows cases in a range of analyses based on multi-dimensional analysis that can inform professional language teaching in such contexts. It is argued that linguistic variation among the texts affords the identification of both converging and diverging patterns of variation across dimensions of use.

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Gamallo, Pablo, José Ramom Pichel, and Iñaki Alegria. "From language identification to language distance." Physica A: Statistical Mechanics and its Applications 484 (October 2017): 152–62. http://dx.doi.org/10.1016/j.physa.2017.05.011.

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Sakhai, Farhad. "Early Identification and Intervention for Infant Speech and Language Delays: A Narrative Review." Otolaryngology Open Access Journal 9, no. 1 (2024): 1–15. http://dx.doi.org/10.23880/ooaj-16000287.

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Language is one of the most basic communication tools for human social and behavioral activities. Language is a form of cognitive expression that reflects the thinking and psychological processes of the human brain. Because language is central to so many aspects of human life – cognition, social interaction, education and vocation – valid identification, prevention, and treatment of language disorders is a high priority for the therapeutic professions. Delay and/or difficulty in beginning to use the language is one of the most common causes of parental concern for young children brought to pediatricians and other professionals. The importance of early intervention is acknowledged by professionals and non-professionals alike. It advocates promotion of positive assets and development of the child and the family. The major purpose of early intervention is prevention of disability and developmental delays. The ultimate goal in intervention is to enhance normal development and independent functioning of the child. Intervention may focus on the child, parents, family, and community

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Carrió Pastor, María Luisa, and Beatriz Martín Marchante. "Identificación de Errores Pragmáticos en un Test Adaptativo de Inglés como Lengua Extranjera." Elia, no. 16 (2016): 79–102. http://dx.doi.org/10.12795/elia.2016.i16.04.

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Del Bonifro, Francesca, Maurizio Gabbrielli, Antonio Lategano, and Stefano Zacchiroli. "Image-based many-language programming language identification." PeerJ Computer Science 7 (July 23, 2021): e631. http://dx.doi.org/10.7717/peerj-cs.631.

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Programming language identification (PLI) is a common need in automatic program comprehension as well as a prerequisite for deeper forms of code understanding. Image-based approaches to PLI have recently emerged and are appealing due to their applicability to code screenshots and programming video tutorials. However, they remain limited to the recognition of a small amount of programming languages (up to 10 languages in the literature). We show that it is possible to perform image-based PLI on a large number of programming languages (up to 149 in our experiments) with high (92%) precision and recall, using convolutional neural networks (CNNs) and transfer learning, starting from readily-available pretrained CNNs. Results were obtained on a large real-world dataset of 300,000 code snippets extracted from popular GitHub repositories. By scrambling specific character classes and comparing identification performances we also show that the characters that contribute the most to the visual recognizability of programming languages are symbols (e.g., punctuation, mathematical operators and parentheses), followed by alphabetic characters, with digits and indentation having a negligible impact.

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Barnard, Etienne, and Yonghong Yan. "Toward new language adaptation for language identification." Speech Communication 21, no. 4 (May 1997): 245–54. http://dx.doi.org/10.1016/s0167-6393(97)00009-5.

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Muthusamy, Y. K., E. Barnard, and R. A. Cole. "Reviewing automatic language identification." IEEE Signal Processing Magazine 11, no. 4 (October 1994): 33–41. http://dx.doi.org/10.1109/79.317925.

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Ambikairajah, Eliathamby, Haizhou Li, Liang Wang, Bo Yin, and Vidhyasaharan Sethu. "Language Identification: A Tutorial." IEEE Circuits and Systems Magazine 11, no. 2 (2011): 82–108. http://dx.doi.org/10.1109/mcas.2011.941081.

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MALMASI, SHERVIN, and MARK DRAS. "Multilingual native language identification." Natural Language Engineering 23, no. 2 (December 2, 2015): 163–215. http://dx.doi.org/10.1017/s1351324915000406.

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AbstractWe present the first comprehensive study of Native Language Identification (NLI) applied to text written in languages other than English, using data from six languages. NLI is the task of predicting an author’s first language using only their writings in a second language, with applications in Second Language Acquisition and forensic linguistics. Most research to date has focused on English but there is a need to apply NLI to other languages, not only to gauge its applicability but also to aid in teaching research for other emerging languages. With this goal, we identify six typologically very different sources of non-English second language data and conduct six experiments using a set of commonly used features. Our first two experiments evaluate our features and corpora, showing that the features perform well and at similar rates across languages. The third experiment compares non-native and native control data, showing that they can be discerned with 95 per cent accuracy. Our fourth experiment provides a cross-linguistic assessment of how the degree of syntactic data encoded in part-of-speech tags affects their efficiency as classification features, finding that most differences between first language groups lie in the ordering of the most basic word categories. We also tackle two questions that have not previously been addressed for NLI. Other work in NLI has shown that ensembles of classifiers over feature types work well and in our final experiment we use such an oracle classifier to derive an upper limit for classification accuracy with our feature set. We also present an analysis examining feature diversity, aiming to estimate the degree of overlap and complementarity between our chosen features employing an association measure for binary data. Finally, we conclude with a general discussion and outline directions for future work.

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van Bezooijen, Renée, and Charlotte Gooskens. "Identification of Language Varieties." Journal of Language and Social Psychology 18, no. 1 (March 1999): 31–48. http://dx.doi.org/10.1177/0261927x99018001003.

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Zhong, Jihong. "Rhetorical Interpretation of Abstracts in Sci-Tech Theses Based on Burke’s Identification Theory." English Language Teaching 10, no. 5 (April 11, 2017): 68. http://dx.doi.org/10.5539/elt.v10n5p68.

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Abstract of a thesis is the brief and accurate representation of the thesis, with the important function of persuading readers to read on the thesis. So how the writer constructs the abstract and wins readers’ recognition is our main focus. On the basis of Burke’s Identification Theory, this paper analyzed 10 abstracts from Nature from content and form perspective respectively. The results show that identifications by sympathy, by antithesis and by inaccuracy are three main content identification strategies and conventional form is the main form identification strategy, which combine together to improve the objectivity and persuasion of abstracts.

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Flege, James Emil. "Two procedures for training a novel second language phonetic contrast." Applied Psycholinguistics 16, no. 4 (1995): 425–42. http://dx.doi.org/10.1017/s0142716400066029.

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AbstractNative speakers of Mandarin who learn English as a second language (L2) frequently misidentify unreleased tokens of /t/ and /d/ in the final position of English words. The purpose of this study was to evaluate two training methods that might be used to increase Mandarin adults’ accuracy in identifying such stops. Subjects were assigned to receive training using a two-alternative forced-choice procedure or a categorical same/different discrimination procedure. Small but significant increases in the percentage of correct identifications of /t/ and /d/ tokens were obtained for both groups of native Mandarin subjects, although their gains did not differ significantly. These gains were still evident for both groups 2 months after completing the training. The effect of training for both groups generalized to words that were not used in training. Contrary to the hypothesis that identification training promotes more robust long-term memory representations than same/different training, the magnitude of generalization observed for the two groups did not differ significantly. However, subjects seemed to maintain the effects of the same/different training better than the effects of the identification training. Taken together, the results obtained here challenge the view that identification training is superior to same/different training as a means for training novel phonetic contrasts.

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Thukroo, Irshad Ahmad, Rumaan Bashir, and J. Kaiser Giri. "Improved Support Vector-Recurrent Neural Network with Optimal Feature Selection-based Spoken Language Identification System." Indian Journal Of Science And Technology 16, no. 10 (March 12, 2023): 680–97. http://dx.doi.org/10.17485/ijst/v16i10.2119.

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Jauhiainen, T., K. Lindén, and H. Jauhiainen. "Language model adaptation for language and dialect identification of text." Natural Language Engineering 25, no. 5 (July 31, 2019): 561–83. http://dx.doi.org/10.1017/s135132491900038x.

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AbstractThis article describes an unsupervised language model (LM) adaptation approach that can be used to enhance the performance of language identification methods. The approach is applied to a current version of the HeLI language identification method, which is now called HeLI 2.0. We describe the HeLI 2.0 method in detail. The resulting system is evaluated using the datasets from the German dialect identification and Indo-Aryan language identification shared tasks of the VarDial workshops 2017 and 2018. The new approach with LM adaptation provides considerably higher F1-scores than the basic HeLI or HeLI 2.0 methods or the other systems which participated in the shared tasks. The results indicate that unsupervised LM adaptation should be considered as an option in all language identification tasks, especially in those where encountering out-of-domain data is likely.

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Irtza, Saad, Vidhyasaharan Sethu, Eliathamby Ambikairajah, and Haizhou Li. "Using language cluster models in hierarchical language identification." Speech Communication 100 (June 2018): 30–40. http://dx.doi.org/10.1016/j.specom.2018.04.004.

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Ellis, Erica M., and Donna J. Thal. "Early Language Delay and Risk for Language Impairment." Perspectives on Language Learning and Education 15, no. 3 (October 2008): 93–100. http://dx.doi.org/10.1044/lle15.3.93.

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Abstract Clinicians are often faced with the difficult task of deciding whether a late talker shows normal variability or has a clinically significant language disorder. This article provides an overview of research investigating identification, characteristics, outcomes, and predictors of late talkers. Clinical implications for speech-language pathologists in the identification and treatment of children who are late talkers are discussed.

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Barlas, P., D. Hebert, C. Chatelain, S. Adam, and T. Paquet. "Language Identification in Document Images." Electronic Imaging 2016, no. 17 (February 17, 2016): 1–16. http://dx.doi.org/10.2352/issn.2470-1173.2016.17.drr-058.

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Sadhukhan, Tanusree, Shweta Bansal, and Atul Kumar. "Automatic Identification of Spoken Language." IOSR Journal of Computer Engineering 19, no. 02 (May 2017): 84–89. http://dx.doi.org/10.9790/0661-1902058489.

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Barlas, P., D. Hebert, C. Chatelain, S. Adam, and T. Paquet. "Language Identification in Document Images." Journal of Imaging Science and Technology 60, no. 1 (January 1, 2016): 104071–1040716. http://dx.doi.org/10.2352/j.imagingsci.technol.2016.60.1.010407.

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., Shubham Saini. "LANGUAGE IDENTIFICATION USING G-LDA." International Journal of Research in Engineering and Technology 02, no. 11 (November 25, 2013): 42–45. http://dx.doi.org/10.15623/ijret.2013.0211008.

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Mahender, C. Namrata, Ramesh Ram Naik, and Maheshkumar Bhujangrao Landge. "Author Identification for Marathi Language." Advances in Science, Technology and Engineering Systems Journal 5, no. 2 (2020): 432–40. http://dx.doi.org/10.25046/aj050256.

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Hazen, Timothy J., and Victor W. Zue. "Segment-based automatic language identification." Journal of the Acoustical Society of America 101, no. 4 (April 1997): 2323–31. http://dx.doi.org/10.1121/1.418211.

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Li, Kung-Pu. "Automatic language identification/verification system." Journal of the Acoustical Society of America 104, no. 1 (July 1998): 31. http://dx.doi.org/10.1121/1.424049.

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Dutta, Arup Kumar, and K. Sreenivasa Rao. "Language identification using phase information." International Journal of Speech Technology 21, no. 3 (December 12, 2017): 509–19. http://dx.doi.org/10.1007/s10772-017-9482-5.

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Newman, Jacob L., and Stephen J. Cox. "Language Identification Using Visual Features." IEEE Transactions on Audio, Speech, and Language Processing 20, no. 7 (September 2012): 1936–47. http://dx.doi.org/10.1109/tasl.2012.2191956.

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Jain, S., and A. Sharma. "Prudence in vacillatory language identification." Mathematical Systems Theory 28, no. 3 (May 1995): 267–79. http://dx.doi.org/10.1007/bf01303059.

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Bhuvanagirir, Kiran, and Sunil Kumar Kopparapu. "Mixed Language Speech Recognition without Explicit Identification of Language." American Journal of Signal Processing 2, no. 5 (December 1, 2012): 92–97. http://dx.doi.org/10.5923/j.ajsp.20120205.02.

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Marchegiani, Letizia, and Xenofon Fafoutis. "On cross-language consonant identification in second language noise." Journal of the Acoustical Society of America 138, no. 4 (October 2015): 2206–9. http://dx.doi.org/10.1121/1.4930955.

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Franco-Salvador, Marc, Greg Kondrak, and Paolo Rosso. "Bridging the Native Language and Language Variety Identification Tasks." Procedia Computer Science 112 (2017): 1554–61. http://dx.doi.org/10.1016/j.procs.2017.08.068.

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Kraemer, Don J. "Between Motion and Action: The Dialectical Role of Affective Identification in Kenneth Burke." Journal for the History of Rhetoric 16, no. 2 (July 2013): 141–64. http://dx.doi.org/10.5325/jhistrhetoric.16.2.0141.

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ABSTRACT Taking seriously Kenneth Burke's claim that identification follows property's logic discloses identification's rootedness not only in nonsymbolic motion but also in attitudinal sensation, that midway realm between sheer motion and symbolic action. Burke's key distinction is among three terms, not two—implying consubstantial (not antithetical) relations between pure persuasion and identification. Thus understood, these relations have implications for the New Rhetoric, in particular for how it frames the question of justice.

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Mieles Toloza, Ismael, and Jesús Delgado Meza. "Análisis del Lenguaje Natural para la Identificación de Alteraciones Mentales en Redes Sociales: Una Revisión Sistemática de Estudios." Revista Politécnica 53, no. 1 (February 9, 2024): 57–72. http://dx.doi.org/10.33333/rp.vol53n1.06.

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Las enfermedades mentales constituyen una de las principales causas de angustia en la vida de las personas a nivel individual, y repercuten en la salud y el bienestar de la sociedad. Para captar estas complejas asociaciones, las ciencias computacionales y la comunicación, a través del uso de métodos de procesamiento del lenguaje natural (NLP) en datos recolectados en redes sociales, han aportado prometedores avances para potenciar la atención sanitaria mental proactiva y ayudar al diagnóstico precoz. Por ello, se realizó una revisión sistemática de la literatura acerca de la detección de alteraciones mentales a través de redes sociales, mediante el uso de NLP en los últimos 5 años, que permitió identificar métodos, tendencias y orientaciones futuras, a través del análisis de 73 estudios, de 509 que arrojó la revisión de documentos extraídos de bases de datos científicas. El estudio reveló que, los fenómenos más comúnmente estudiados, correspondieron a Depresión e Ideación suicida, identificados a través del uso de algoritmos como el LIWC, CNN, LSTM, RF y SVM, en datos extraídos principalmente de Reddit y Twitter. Este estudio, finalmente proporciona algunas recomendaciones sobre las metodologías de NLP para la detección de enfermedades mentales, que pueden ser adoptadas en el ejercicio de profesionales interesados en la salud mental, y algunas reflexiones sobre el uso de estas tecnologías.

Journal articles on the topic 'Identification du langage'

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