Abstract Two-person interactive action recognition has significant potential in applications such as security monitoring and educational assistance. Currently, methods based on the combination of joint data and graph convolutional networks have shown promising results. However, these approaches still face challenges in adequately capturing the interaction features of two-person actions, and the models are often complex, limiting practical applications. To address these issues, a two-person interactive action recognition algorithm based on hypergraph convolutional networks is proposed. Firstly, the input data are symmetrically processed and enhanced. Then, the two-person interaction hypergraph is used to model the two-person interaction hypergraph, consisting of a two-person hypergraph and interaction relation matrices. Finally, the two-person interaction hypergraph is deployed into a multi-stream graph convolutional network, enhanced with Spatial-Temporal Part Attention to improve recognition accuracy. This method requires fewer parameters, while effectively capturing both local and long-range spatiotemporal information for each individual, as well as better leveraging the interaction between the two people. Experiments on the NTU RGB+D 60 and NTU RGB+D 120 interaction datasets show that the algorithm achieves an accuracy of 98.24%, with a smaller model size and faster inference speed.
Computational linguistics. Natural language processing, Electronic computers. Computer science
Résumé : A travers cet article, nous tentons d’examiner es difficultés que rencontrent les étudiants algériens de première année dans l’emploi des prépositions en français. En s’appuyant sur des disciplines comme la grammaire, la sémantique, la pragmatique et l’analyse contrastive, nous cherchons à comprendre les causes de ces erreurs. À travers un test mené auprès de 27 étudiants, nous examinons notamment l’influence de la langue maternelle et la complexité des prépositions françaises. Ce travail s’inscrit dans une réflexion plus large sur l’apprentissage du français langue étrangère et met en lumière l’importance d’un enseignement plus ciblé sur cette catégorie grammaticale souvent négligée.
Mots-clés : préposition, étudiant, difficultés, interférences, langue maternelle
Arts in general, Computational linguistics. Natural language processing
Abubakar D. Maiwada, Abdullahi A. Adamu, Jamilu Usman
et al.
Abstract The challenge of efficiently predicting the sensible heat storage potential of natural materials, including the accurate prediction of sensible heat storage capacity in the materials, presents a critical challenge for sustainable thermal energy systems. This study addresses this challenge through a comprehensive machine learning(ML) approach to model the thermal behavior of Dawakin Tofa clay, an abundant and eco-friendly material with potential to replace synthetic thermal storage media. We systematically evaluate twelve predictive models, including four linear approaches (Interactive Linear Regression (ILR), Stepwise Linear Regression (SWLR), Robust Linear Regression (RLR), and Kernel Support Vector Machine (KSVM), four nonlinear methods (G-Matern 5/2 (GM5/2), Trilayered Neural Network (TNN), Boosted Trees (BoT), and Bagged Tree Neural Networks (BTNN), and three ensemble techniques (Simple Average Ensemble (SAE), Weighted Average Ensemble (WAE), and Neural Network Ensemble (NNE). Experimental validation reveals that the NNE demonstrates exceptional predictive performance, achieving near-perfect accuracy with minimal error metrics (MSE = 0.0001696, RMSE = 0.01302 in testing phase). Comparative analysis reveals that SAE offers moderate yet stable generalization (test RMSE = 0.0187), whereas WAE exhibits higher variance (RMSE train-test = 0.0098), suggesting potential overfitting. The superior performance of nonlinear models, particularly NNE, underscores their ability to capture the complex thermal behavior of natural materials. The present work makes three key contributions, namely, a robust ML framework for thermal property prediction, quantitative evidence supporting natural clay as sustainable thermal storage media, and methodological insights into model selection for material science applications. The findings advance renewable energy research by demonstrating how locally available materials can be optimized through computational modeling, with implications for reducing reliance on synthetic alternatives. Future research directions should investigate material modifications, multi-scale validation, and techno-economic analysis to facilitate the practical implementation of the technologies.
Computational linguistics. Natural language processing, Electronic computers. Computer science
Abstract : Our study explores the role of popular and modern arts as forms of intangible heritage in Algerian society, including proverbs, sayings, folk tales, modern novels, and cinematic films. These cultural products shape contemporary views of wealth and the wealthy, using a sociological approach that sees artistic and literary works as key practices with multiple interpretations. By examining representations of wealth in Algerian intangible heritage, we conclude that it reflects social relationships and community values. Literature and art help understand social conflicts, such as the rich-poor divide, with Algerian proverbs and folk tales highlighting the fleeting nature of money and the value of wisdom and hard work.
Keywords: Intangible heritage, popular arts, sociology, wealth and the wealthy, proverbs and folk tales.
Arts in general, Computational linguistics. Natural language processing
Joël OUEDRAOGO, Yélézouomin Stéphane Corentin SOME et Saïdou SAVADOGO
Résumé : Dans la zone soudano-sahélienne du Burkina Faso, et particulièrement dans la commune rurale de Kokologho, la majorité de la population vivait essentiellement de l’agriculture itinérante. Ce type d’agriculture s’appuyait sur la jachère pour entretenir la fertilité du sol. Mais, les changements climatiques combinés à l’augmentation de la densité de la population ont entrainé le raccourcissement de la durée, voire la disparition de la jachère. Cette situation a des répercussions sur la fertilité des sols. L’agriculture étant le principal secteur d’activité et de revenus des populations rurales, la présente étude a été conduite dans la commune rurale de Kokologho afin d’évaluer l’impact de l’agroforesterie sur la fertilité des sols. Ainsi, des prélèvements d’échantillons de sols ont été effectués sous et hors houppiers des arbres le long d’un transect suivant les variations de la topo-séquence et les faciès de la végétation afin de comparer les propriétés du sol sous la cime des arbres avec celles du sol environnant sans couvert d’arbres. Puis les échantillons de sols ont été analysés au laboratoire du Bureau national des sols sis à Ouagadougou. Les résultats issus des tests de comparaison de Student et de Wilcoxon ont révélé des proportions presque similaires pour le potentiel hydrogène (pH), l’indice de battance (IB), les teneurs en phosphore assimilable (P), en azote total (N), en carbone (C), en matière organique (MO) et pour le rapport C/N à l’exception du potassium disponible (K) (p<0,05), car leurs p-values sont supérieures à 0,05 (p>0,05).
Mots-clés : Agroforesterie, fertilité, sols, commune rurale, Kokologho.
Arts in general, Computational linguistics. Natural language processing
Résumé : Face à la diminution remarquable de la motivation des lycéens, notamment ceux inscrits en première année des filières scientifiques et techniques, cette étude tente de dégager les perceptions de la valeur, de la compétence et de la contrôlabilité que les étudiants entretiennent à l’égard du français (basé sur la littérature) et des mathématiques afin de les comparer. L'objectif est de vérifier l’hypothèse selon laquelle les élèves des filières scientifiques et techniques sont démotivés en classe de français et motivés en classe de mathématiques. L’analyse des résultats obtenus à partir d’un questionnaire distribué à 148 lycéens valide notre hypothèse. L’apprentissage du français par le biais des œuvres littéraires est perçu comme ennuyeux, inutile et sans applicabilité dans leur future carrière scientifique et technique. À l’inverse, les mathématiques sont perçues comme plus agréables à apprendre. Les apprenants de notre échantillon manifestent un manque de confiance dans leur capacité à assimiler les cours de français en rapport avec les œuvres littéraires. De plus, ils ressentent un sentiment de n’avoir aucun contrôle dans leur apprentissage, tant en cours de français qu’en mathématiques, se sentant plus frustrés au niveau de l’autonomie et de la liberté. Cette étude permet de comprendre comment la dynamique motivationnelle se modifie entre les deux matières, suggérant la nécessité de réviser le programme de français au lycée et d'innover dans les pratiques enseignantes pour mieux répondre aux attentes et aux préférences des élèves scientifiques et techniques, rendant ainsi un cours de français qui ennuie à un cours qui construit.
Mots-clés : Français langue étrangère (FLE), Littérature, Lycée, Mathématiques, Dynamique motivationnelle, Filières scientifiques et techniques.
Arts in general, Computational linguistics. Natural language processing
For sentiment analysis of short texts (e.g. movie reviews, tweets, etc.), one approach is to build machine learning models that can determine their tones (positive, negative, neutral). However, these natural language processing (NLP) studies are missing when there is a lack of high-quality and large-scale training data for specific languages such as Arabic. In this paper, we present three machine learning models designed to classify sentiment Arabic tweets developed for a Kaggle competition. We present a Voting Ensemble classifier taking advantage of both character-level and word-level features. We also propose an AraBERT (Arabic Bidirectional Encoder Representations from Transformers) model with preprocessing using Farasa Segmenter. Finally, we combine these first two approaches as a third approach (Voting Ensemble classifier using AraBERT embeddings). Performance measures of results show improvement over previous efforts for all models. The third model exhibits strong performance with a 73.98% F-score score. The work presented here could be useful for future studies and for new Arabic sentiment analysis online services or competitions.
Computational linguistics. Natural language processing
The evolution of the vocabulary of a language is characterized by two different random processes: abrupt lexical replacements, when a complete new word emerges to represent a given concept (which was at the basis of the Swadesh foundation of glottochronology in the 1950s), and gradual lexical modifications that progressively alter words over the centuries, considered here in detail for the first time. The main discriminant between these two processes is their impact on cognacy within a family of languages or dialects, since the former modifies the subsets of cognate terms and the latter does not. The automated cognate detection, which is here performed following a new approach inspired by graph theory, is a key preliminary step that allows us to later measure the effects of the slow modification process. We test our dual approach on the family of Malagasy dialects using a cladistic analysis, which provides strong
evidence that lexical replacements and gradual lexical modifications are two random processes that separately drive the evolution of languages.
Computational linguistics. Natural language processing
Abstract For linear time varying (LTV) multiple input multiple output (MIMO) systems with vector relative degree, an open‐closed‐loop iterative learning control (ILC) strategy is developed in this article, where the time interval of operation is iteration dependent. To compensate the missing tracking signal caused by iteration dependent interval, the feedback control is introduced in ILC design. As the tracking signal of many continuous iterations is lost in a certain interval, the feedback control part can employ the tracking signal of current iteration for compensation. Under the assumption that the initial state vibrates around the desired initial state uniformly in mathematical expectation sense, the expectation of ILC tracking error can converge to zero as the number of iteration tends to infinity. Under the circumstance that the initial state varies around the desired initial state with a bound, as the number of iteration tends to infinity, the expectation of ILC tracking error can be driven to a bounded range, whose upper bound is proportional to the fluctuation. It is revealed that the convergence condition is dependent on the feedforward control gains, while the feedback control can accelerate convergence speed by selecting appropriate feedback control gains. As a special case, the controlled system with integrated high relative degree is also addressed by proposing a simplified iteration dependent interval based open‐closed‐loop ILC method. Finally, the effectiveness of the developed iteration dependent interval based open‐closed‐loop ILC is illustrated by a simulation example with two cases on initial state.
Computational linguistics. Natural language processing, Computer software
Kania Nur Utami, Helyana Wulandari, Muhammad Yahya Mahendra
et al.
Salah satu kota yang memiliki ragam bangunan bersejarah di Indonesia adalah Kota Tua Jakarta. Sebagai salah satu kota besar di Indonesia dan juga ibu kota Jakarta, kota ini memiliki perjalanan sejarah yang cukup panjang. Jakarta memiliki tempat yang penuh akan sejarah serta peninggalannya yaitu wisata Kota Tua Jakarta. Penelitian kali ini menganalisis dua bangunan bersejarah yang ada pada Kota Tua Jakarta yaitu Museum Sejarah Jakarta dan Museum Seni Rupa dan Keramik. Analisis kedua bangunan museum tersebut berdasarkan sudut pandang dari flaneur. Metode yang digunakan pada penelitian ini yaitu metode kualitatif. Teknik pengumpulan data yang dilakukan yaitu melalui tiga cara, yaitu observasi, wawancara dan juga dilengkapi dengan studi pustaka. Objek penelitian dengan dua museum tersebut dipilih sesuai dengan kriteria bangunan yang keberadaannya paling lama dan bangunan yang paling banyak mengalami perubahan. Hasil dan pembahasan yang ditemukan pada penelitian ini yaitu, kedua museum tersebut dapat dianalisis berdasarkan filosofi flaneur. Museum tersebut penuh akan sejarah berdasarkan linimasa dan juga wawancara yang dilakukan oleh peneliti. Sejarah yang terjadi terdapat beragam perubahan yang disebabkan salah satunya oleh kemajuan zaman sehingga adanya peralihan bentuk bangunan bahkan sampai fungsi dari awal berdirinya. Bangunan Museum Sejarah Jakarta dan Museum Seni Rupa dan Keramik sangat ideal menjadi objek dalam konsep flaneur, dalam hal ini dapat memberikan makna dan cerita bagi yang menikmatinya menyesuaikan tujuan masing masing orang.
Language. Linguistic theory. Comparative grammar, Computational linguistics. Natural language processing
This paper takes as its starting point the conceptual metaphor “crime is disease” as suggested by George Lakoff in order to advance a new reading of the BBC crime drama television series Sherlock (2010- ) based on Sir Arthur Conan Doyle’s Sherlock Holmes detective stories.
Among over 200 film versions of Sherlock Holmes, the 2010 Masterpiece version, created by Steven Moffat and Mark Gatiss, remediated the Victorian detective stories visualising Sherlock’s deductive reasoning on screen. Defined as “flagrantly unfaithful to the original in some respects” and “wonderfully loyal to [the original]” (Sutcliffe 2010), Sherlock appears to be the perfect depiction of Holmes for our times. I intend to track through these references and look at the issues – the remediation of Victorian crime from page to screen, the metamorphosis of Holmes’s character, adapting techniques in crime scenes, etc – which they raise.
But my central purpose will be to re-read Sherlock from a subtitling perspective. I will analyse the linguistics of subtitling and text-reduction shifts from a cognitive perspective in order to demonstrate that crime may be conceptualised in subtitling and that Doyle’s detective stories are reproduced faithfully by audio-visual media. Through dialogues, I suggest, subtitling may be considered as a form of deduction in audio-visual crime fiction.
Computational linguistics. Natural language processing, Epistemology. Theory of knowledge
<p class="MsoNormal" style="margin-bottom: .0001pt; text-align: justify; line-height: normal;"><span style="font-size: 12.0pt; font-family: "Times New Roman","serif"; mso-ascii-theme-font: major-bidi; mso-hansi-theme-font: major-bidi; mso-bidi-theme-font: major-bidi;">This article presents the very first critical editing of the “Nou-Ayin e John Horace Ford” by Rustam Ali Bijnori. This ‘qissa’ was penned down in 1786 A.D for presenting to an East India Company’s army officer John Horace Ford. A manuscript of abovesaid qissa is kept in the Middle Eastern Manuscript section of Special Collections at the University of Melbourne, Australia. Alongwith critical editing, a brief biographical introduction of the author, linguistic and stylistic analysis of the text and a glossary are also included in this article.</span></p> <p class="MsoNormal" style="margin-bottom: .0001pt; text-align: justify; line-height: normal;"><span style="font-size: 12.0pt; font-family: "Times New Roman","serif"; mso-ascii-theme-font: major-bidi; mso-hansi-theme-font: major-bidi; mso-bidi-theme-font: major-bidi;"> </span></p> <p class="MsoNormal" style="margin-bottom: .0001pt; text-align: justify; line-height: normal;"><span style="font-size: 12.0pt; font-family: "Times New Roman","serif"; mso-ascii-theme-font: major-bidi; mso-hansi-theme-font: major-bidi; mso-bidi-theme-font: major-bidi;">Keywords: Urdu prose, Nou-Ayin e John Horace Ford, Rustam Ali Bijnori, Critical Editing, Manuscripts</span></p>
Language. Linguistic theory. Comparative grammar, Computational linguistics. Natural language processing
The study aims to determine the correlation between the employment of language and the decay of the Normative framework and degeneration of societal norms. It has been seen that irresponsible statements for politicking are generally picked up and hyped by the media. Further, the degradation of language and personal allegations put politics away from partisan political domain resulting into desensitisation of the society. This correlation of lousy language and desensitisation of the society has not been studied theoretically in Pakistan. The assessment, in this study, has been carried out in light of the parameters set out by the Theory of Desensitisation under a larger framework of General Agression Theory delineating that abnormal shifts to neo-normal if repeated with regular intervals. The study confines to two watershed years i.e, 1958 when Pakistan faced first constitutional breakdown and 2013 onwards resulting into polarisation. In order to analyse, a widely read newspaper selected that have been in circulation virtually all over Pakistan since its creation. The editorials, statements of political leaders, reporting of incidents have been studied precisely that determined the course of the political history of Pakistan and the fissures in the social texture of the country. It has been observed that the more such content is given coverage, the more society and polity gets desensitised. Moreover, publication of such content is incremental in nature, that is to say, it expands in terms of coverage and intensity as time goes by. The study concludes that desensitization has been growing over the years resulting into degeneration of the societal norms.
Language. Linguistic theory. Comparative grammar, Computational linguistics. Natural language processing
In this paper we focus on collocations, which have been studied in computational linguistics since they constitute a key factor when processing natural languages. For instance, they usually represent a challenge in automatic translation because the association of two terms is not easily computed. We proposed that the parser should be provided with a lexical database in order to make more effective the identification of collocations during the parsing process. We assessed this claim by using a corpus of 6’000 sentences retrieved from the British magazine The Economist Espresso. The corpus was parsed twice, first with the collocation detection component turned on and then with it turned off, and to make the comparison the Fips tagger was used. The results showed an improvement of the quality when the parser has access to collocation knowledge.
This analysis is part of a group of studies on the combinatorial profile of nouns of emotion (Blumenthal 2002). Aligned with the syntactic pattern V + N in the cause and effect relationship (Nazarenko 2000), the aim of this study is to analyze the attraction between the causative verbs and the predicate nouns included in the nine emotions fields of the Emolex classification. The study of how these constructions function in the Emolex digital corpus of journalistic and literary texts should allow us to identify the attraction between these two grammatical classes, to highlight their combinatorial profiles (adjectives, adverbs...). The issue aims to answer the following question: what kinds of causative combination verb + noun of emotion should we teach?
Computational linguistics. Natural language processing, Language. Linguistic theory. Comparative grammar