| 7-1 | IEEE/ACM Transactions ASLP, TASLP Special Issue: Speech, and Language Technologies for Low-resources Languages
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Speech and language processing is a multi-disciplinary research area that focuses on various aspects of natural language processing and computational linguistics. Speech and language technologies deal with the study of methods and tools to develop innovative paradigms for processing human languages (speech and writing) that can be recognized by machines. Thanks to the incredible advances in machine learning and artificial intelligence techniques that effectively interpret speech and textual sources. In general, speech technologies include a series of artificial intelligence algorithms that enables the computer system to produce, analyze, modify and respond to human speech and texts. It establishes a more natural interaction between the human and the computers and also the translation between all the human languages and effectively analyzes the text and speech. These techniques have significant applications in computational linguistics, natural language processing, computer science, mathematics, speech processing, machine learning, and acoustics. Another important application of this technology is a machine translation of the text and voice.
There exists a huge gap between speech and language processing in low-resource languages as they have lesser computational resources. With the ability to access the vast amount of computational sources from various digital sources, we can resolve numerous language processing problems in real-time with enhanced user experience and productivity measures. Speech and language processing technologies for low-resource languages are still in their infancy. Research in this stream will enhance the likelihood of these languages becoming an active part of our life, as their importance is paramount. Furthermore, the societal shift towards digital media along with spectacular advances in digital media along with processing power, computational storage, and software capabilities with a vision of transferring low-resource computing language resources into efficient computing models.
This special issue aims to explore the language and speech processing technologies to novel computational models for processing speech, text, and language. The novel and innovative solutions focus on content production, knowledge management, and natural communication of the low-resource languages. We welcome researchers and practitioners working in speech and language processing to present their novel and innovative research contributions for this special section.
Topics of Interest
Topics of interest for this special issue include (but are not limited to):
- Artificial intelligence assisted speech and language technologies for low-resource languages
- Pragmatics for low resource languages
- Emerging trends in knowledge representation for low resource languages
- Machine translation for low resource language processing
- Sentiment and statistical analysis for low resource languages
- Automatic speech recognition and speech technology for low resource languages
- Multimodal analysis for low resource languages
- Information retrieval and extraction of low resource languages
- Augment mining for low resource language processing
- Text summarization and speech synthesis
- Sentence-level semantics for speech recognition
Submission Guidelines
Manuscripts should be submitted through the Manuscript Central system. |
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Important Dates
- Submissions deadline: 30 May 2023
- Authors notification: 25 July 2023
- Revised version submission: 29 September 2023
- Final decision notification: 15 December 2023
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| 7-2 | CfP IEEE-JSTSP Special issue on Near-Field Signal Processing: Algorthms, Implementations and Applications
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Array signal processing technologies are moving toward to the employment of small and densely packed sensors yielding extremely large aperture arrays to provide higher angular resolution and beamforming gain. With the extended array aperture and small wavelength, the signal wavefront at the receiver is no longer plane-wave when the receiver is in near-field, i.e., it is closer to the transmitter than the Fraunhofer distance. In such a scenario, the spherical wavefront should be taken into consideration since the system performance depends on the propagation distance as well as the direction of the signal of interest. Lately, there has also been a significant paradigm shift in both radar and communication communities toward operating in higher frequencies, e.g., millimeter-wave and terahertz (THz) band which require employing massive antenna arrays to achieve enhanced communications data rate and high-resolution sensing. To this end, near-field signal processing becomes a key enabling technique to provide spatial multiplexing with increased degrees of freedom and high-resolution with range-dependent vary narrow beamwidth. Furthermore, while near-field signal processing is regarded as a new phenomenon in wireless communications and sensing, it has been a long-standing problem in other applications with short propagation distances, e.g., ultrasound, acoustics, microscopy, crystallography, spectroscopy, and optics. This special issue aims to bring together researchers from both academia and industry to introduce the original works on near-field signal processing, hitherto not made available.
Topics of Interest
Topics of interest for this special issue include (but are not limited to):
- Signal processing for near-field localization, direction-of-arrival estimation, and sensing
- Spherical processing for reactive and radiative near-field, and measurements for massive MIMO communications
- Signal processing for short-range THz communications and spatial-wideband effect
- Active/passive near-field beamformer design for holographic-surface-assisted wireless systems
- Applications of near-field in integrated sensing and communications
- Novel sensor array/reflecting surface design for near-field beamforming and backscattering
- Theoretical performance analyses and fundamental limits in near-field signal processing
- Novel signal processing techniques to incorporate the electromagnetics and physics of near-field beamforming
- Recent advances in mid- and near-field optics via coded diffraction patterns
- Near-field synthetic aperture sounding and radar imaging
- Advanced near-field signal processing techniques for ultrasound, microphone arrays, sonar, and acoustics
- Near-field propagation modeling and hardware prototyping in microscopy, crystallography, and optics
- Near-field wireless power transfer for 5G and beyond IoT applications
- Real-world prototypes and testbeds for near-field signal processing systems
Submission Guidelines
The Guest Editors also welcome creative papers outside the areas listed above but related to the overall scope of the special issue. Prospective authors may contact the Guest Editors to ascertain interest on topics that are not listed, should follow the instructions given on the IEEE JSTSP webpage, and submit their manuscripts at http://mc.manuscriptcentral.com/jstsp-ieee. All submitted manuscripts will be peer-reviewed according to the standard IEEE process.
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Important Dates
- Manuscript Submissions due: November 15, 2023
- First review due: January 31, 2024
- Revised manuscript due: February 29, 2024
- Second review due: March 31, 2024
- Final manuscript due: May 15, 2024
- Publication: Third Quarter 2024
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| 7-3 | CfP MDPI: special issue on Prosody and Immigration in Languages
Dear Speech Prosody SIG members,
Rajiv Rao is inviting submissions for a special issue on Prosody and Immigration in Languages, a MDPI Journal. Please see
https://www.mdpi.com/journal/languages/special_issues/DTB64LM303 for details.
Research on minority immigrant languages has gained significant traction in the last decade-plus, primarily due to a significant body of research on heritage languages (e.g., Montrul, 2015; Polinsky, 2018; Polinsky & Montrul, 2021; among many others). Developments in the phonetics and phonology of heritage languages have lagged behind those in other linguistic areas, but recent years have seen significant growth in work on sound systems as well (see, e.g., Chang, 2021; Rao, 2016, in press), especially in North America, thanks in large part to research on Spanish in the US (for an overview, see Rao, 2019) and studies based on the Heritage Language Variation and Change Corpus in Toronto (Nagy, 2011). However, within the fields of heritage (and, in general, minority immigrant language) phonetics and phonology, prosody remains relatively understudied, and within the realm of immigrant language prosody, we still know very little about issues such as cross-generational change, longitudinal outcomes, child versus adolescent versus adult data, older first-generation immigrants who have resided in the host country for multiple decades versus monolingual homeland speakers, the role of source input varieties, the influence of a wide range of social (level of education, age, gender, rural versus urban settings, etc.) and affective (e.g., attitudes, emotions, motivation) variables, speech rhythm, intonation across a variety of pragmatic contexts, variation in lexical tone, speakers of such languages outside of North America, and the effects of minority language prosody on local majority varieties (by no means is this an exhaustive list).
The goal of this Special Issue is to fill existing holes in the literature on prosody by addressing the topics listed above (among other possibilities), while highlighting the need for increased comparisons between first-generation immigrants and homeland speakers, as well as a wider range of coverage of languages and geographies in general (e.g., Calhoun, 2015 versus Calhoun et al., in press for data based in Oceania). Finally, this special issue complements other ones hosted by Languages:
https://www.mdpi.com/journal/languages/special_issues/Immigrant_Refugee_Languagees
https://www.mdpi.com/journal/languages/special_issues/multilingualism_migrant
Given that prosody is a key component of human communication (e.g., Gussenhoven & Chen, 2020) and that language and cultural contact caused by international movement are pervasive in many regions of the world, learning more about the interaction of these two concepts is important, not only to expand on the recent growth in heritage language sound systems, but also to gain a deeper understanding of the underpinnings of prosodic variation (for a recent contribution to this area, see Armstrong et al., 2022).
We request that, prior to submitting a manuscript, interested authors initially submit a proposed title and an abstract of 400–600 words summarizing their intended contribution. Please send it to the Guest Editor (Rajiv Rao; rgrao@wisc.edu) or to the Languages Editorial Office (languages@mdpi.com). Abstracts will be reviewed by the Guest Editor for the purposes of ensuring proper fit within the scope of the Special Issue. Full manuscripts will undergo double-blind peer-review.
Tentative completion schedule:
- Abstract submission deadline: May 15, 2023
- Notification of abstract acceptance: May 31, 2023
- Full manuscript deadline: August 31, 2023
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| 7-4 | Revue TAL Numero spécial: Explicabilité des modèles de traitement automatique des langues
La revue TAL (Traitement Automatique des Langues) vous invite à soumettre une contribution au numéro spécial 64(3) sur le thème *Explicabilité des modèles de traitement automatique des langues*.https://tal-64-3.sciencesconf.org/Soumission des articles : 15 octobre 2023LA REVUE TALL’ATALA publie depuis 1960 la revue internationale Traitement Automatique des Langues (anciennement La Traduction Automatique puis TA Informations), avec le concours du CNRS. Cette revue paraît trois fois par an.La revue a une politique open-access : la soumission, la publication et l'accès aux articles publiés sont gratuits. Les articles publiés seront disponibles sur le site de l'ATALA et sur l'ACL Anthology.Les articles sont écrits en français ou en anglais. Les soumissions en anglais ne sont acceptées que si l’un des co-auteurs n’est pas francophone.RÉDACTEURS EN CHEF INVITÉSGuillaume Wisniewski, Université Paris Cité, LLFMarianna Apidianaki, University of Pennsylvania
APPEL À CONTRIBUTIONSLa capacité des modèles neuronaux à construire, sans supervision explicite, des représentations de la langue a contribué aux progrès spectaculaires réalisés, ces dernières années, par les systèmes de traitement de la langue et de la parole. Si ces représentations permettent de développer des systèmes pour de nombreuses langues et de nombreux domaines, leur utilisation, notamment par l'intermédiaire des modèles pré-entrainés comme BERT, se fait au détriment de l'interprétabilité des décisions : il n'est généralement pas possible de savoir pourquoi un système prend telle ou telle décision et les raisons derrière les bonnes performances des modèles de l'état de l'art restent, en grande partie, inconnues. Afin de répondre à ces questions, de plus en plus de travaux s’intéressent au problème de l’explicabilité des systèmes de TAL et explorent plusieurs questions liées : - à l’interprétation des modèles (model analysis & interpretability) qui ont pour objectif d’identifier les informations encodées dans les représentations neuronales [1] ;- au développement de méthodes capables de décrire et de justifier les étapes du raisonnement (model explicability) qui a permis aux modèles d’aboutir à une réponse, par exemple avec des chaînes de pensées (Chain-of-Thought) [2] ou des représentations structurées [4] ;- à l'évaluation des méthodes d'explication et leur véracité (faithfulness), c’est-à-dire si les explications proposées reflètent le processus de raisonnement derrière les prédictions du modèle [3] ; - au développement de systèmes « surs », capables de s’auto-justifier (model accountability).Ce numéro thématique de la revue TAL a pour objectif de faire le point à la fois sur les méthodes d'analyse et d'explication des systèmes de TAL, mais aussi sur l'état de nos connaissances par rapport aux capacités langagières des modèles neuronaux et les limites de ceux-ci.Les articles sollicités concernent les thématiques suivantes, sans y être limités pour autant :- les méthodes permettant d'expliquer les décisions des réseaux de neurones (identification des éléments saillants, explication sous forme de texte libre, ...) et notamment celles, comme les méthodes d’analyse contre-factuelle, permettant d’établir des relations de causalité entre une prédiction et une entrée (ou une partie de celle-ci) ;- les méthodes dites de “probing” permettant d'identifier les connaissances linguistiques et les connaissances du monde capturées par les représentations neuronales ;- les méthodes permettant de distinguer les informations qui sont uniquement capturées par les réseaux de neurones, de celles qui sont véritablement utilisées par les modèles pour proposer une réponse (corrélation versus causalité) ;- les méthodes utilisées pour analyser les modèles neuronaux dans des domaines connexes (linguistique expérimentale, vision par ordinateur, psychologie, etc) ;- l'identification des biais des modèles de langue neuronaux ;- l’utilisation de méthodes de prompting pour générer des explications avec du texte ou des représentations structurées ;- l'étude sur des langages artificiels ou des exemples linguistiquement motivés ;- l'évaluation des méthodes d'explication et, notamment, la définition de critères d’évaluation comme la véracité (faithfulness) ou la plausibilité (plausibility) et l’estimation de ces critères.FORMATLa longueur des articles doit être de 20 à 25 pages.La revue TAL a un processus de relecture en double-aveugle. Merci d’anonymiser votre article, le nom du fichier, et de veiller à éviter les auto-références.Les feuilles de style sont disponibles en ligne sur le site de la revue (http://www.atala.org/content/instructions-aux-auteurs-feuilles-de-style-0).Les chercheurs ayant l’intention de soumettre une contribution sont invités à déposer leur article en cliquant sur le menu « Soumission d’un article » (format PDF). Pour cela, si ce n’est déjà fait, s’inscrire sur le site http://www.sciencesconf.org (en haut à gauche, « créer un compte »), puis revenir sur la page https://tal-64-3.sciencesconf.org, se connecter et effectuer le dépôt.DATES IMPORTANTESSoumission des articles : 15 octobre 2023Notification aux auteurs après première relecture : décembre 2023Notification aux auteurs après seconde relecture : février 2024Publication : Avril 2024RÉRÉRENCES[1] Interpretability and Analysis in Neural NLP (Belinkov et al., ACL 2020) [2] Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., NeurIPS 2022)[3] Towards Faithful Model Explanation in NLP: A Survey (Lyu et al., arxiv 2023)[4] Causal Reasoning of Entities and Events in Procedural Texts (Zhang et al., EACL Findings 2023)
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| 7-5 | Special issue: Embodied Conversational Systems for Human-Robot Interaction in Dialogue & Discourse journal.
We are delighted to announce the Special Issue on Embodied Conversational Systems for HRI in the Dialogue & Discourse journal.
Special Issue Title: Embodied Conversational Systems for Human-Robot Interaction
Topic AreaConversational systems such as chatbots and virtual assistants have become increasingly popular in recent years. This technology has the potential to enhance Human-Robot Interaction (HRI) and improve the user experience. However, there are significant challenges in designing and implementing effective conversational systems for HRI that need to be addressed (cf. Devillers et al. 2020; Lison & Kennington 2023). This special issue aims to bring together researchers and practitioners to explore the opportunities and challenges in developing conversational systems for human-robot interaction. Conversational systems are an important component of human-robot interaction because they enable more natural and intuitive communication between humans and robots. By leveraging research in areas such as dialogue systems, natural language understanding, natural language generation and multi-modal interaction, robots can become more accessible, usable, and engaging. Conversational systems can enable robots to better understand and respond to human emotions and social cues. By analysing speech patterns, facial expressions, and other nonverbal cues, conversational systems can help robots to better understand human emotions and tailor their responses accordingly. This can help to create more engaging and satisfying interactions between humans and robots, which is important for applications such as healthcare, education, and entertainment. Conversational systems can also help to personalise interactions between humans and robots, by adapting to the individual needs, preferences, and characteristics of each user, and creating more tailored interactions that are more likely to achieve meaningful interactions. This can be particularly important in applications such as personalised tutoring, and coaching, where the effectiveness of the interaction depends on the ability of the system to adapt to the individual needs of each user. Conversational systems offer a way to achieve this by enabling natural language interaction, which is a more intuitive and familiar way for humans to communicate. Human-Robot Interaction is a complex and multidisciplinary field that requires expertise from multiple domains, including robotics, artificial intelligence, psychology, and human factors. Conversational systems bring together many of these domains and represent a challenging and rewarding area of research that can help advance the state of the art in HRI. Conversational systems for HRI have the potential to transform many areas of society, including healthcare, education and entertainment. Conversational systems can make robots more engaging, usable, and effective in these domains, leading to improved outcomes and quality of life for individuals and society as a whole. The aim of this special issue is to bring together novel research work in the area of dialogue systems that are designed to enhance/support Human-Robot Interaction (HRI). In the active research area of HRI, the primary goal is to develop robotic agents that exhibit socially intelligent behaviour when interacting with human partners. Despite the clear relationship between social intelligence and fluent, flexible linguistic interaction, in practice interactive robots have only recently begun to use anything beyond a simple dialogue manager and template-based response generation process. This means that robot systems cannot take advantage of the flexibility offered by dialogue systems and NLG when managing conversations between humans and robots in dynamic environments, or when the conversation needs to be adapted in different contexts or multiple target languages. This special issue aims to provide a forum for researchers and practitioners to share their latest research results, exchange ideas, and discuss the opportunities and challenges in developing conversational systems for human-robot interaction. We hope that this special issue will help to advance the state of the art in the field and inspire further research and development in this exciting area. Topics of interest:
- Design and evaluation of conversational systems for human-robot interaction
- Natural language understanding and generation for human-robot interaction
- Situated dialogue with robots
- Contextualization and personalization in conversational systems
- Emotional and social intelligence in conversational systems
- Multimodal interaction and fusion of sensory data in conversational systems
- Ethics, privacy, and security issues in conversational systems for human-robot interaction
- User studies and user experience evaluation of conversational systems for human-robot interaction
- Applications of conversational systems in healthcare, education, and entertainment
We invite papers presenting original work, as well as survey papers or substantial opinion papers. All submissions will be peer-reviewed according to the journal's standard guidelines. Manuscripts should be submitted online via the journal's website, referencing the title of the special issue and following the journal's formatting guidelines. TimetableDeadline: 1 October 2023 Reviewing period: 15 September–15 December 2023 First Decisions: 30 January 2024 Resubmissions: 1 March 2024 Final decisions: 15 April 2024 Camera-ready: 15 May 2024 Guest Editors
Dimitra Gkatzia, Edinburgh Napier University, UK – d.gkatzia@napier.ac.ukCarl Strathearn, Edinburgh Napier University, UK – c.strathearn@napier.ac.ukMary-Ellen Foster, University of Glasgow, UK – maryellen.foster@glasgow.ac.ukHendrik Buschmeier, Bielefeld University, Germany – hbuschme@uni-bielefeld.de
Relevant referencesLaurence Devillers, Tatsuya Kawahara, Roger K. Moore, and Matthias Scheutz (2020). Spoken Language Interaction with Virtual Agents and Robots (SLIVAR): Towards Effective and Ethical Interaction (Dagstuhl Seminar 20021). In Dagstuhl Reports, Volume 10, Issue 1, pp. 1-51, Schloss Dagstuhl – Leibniz-Zentrum für Informatik. Pierre Lison & Casey Kennington(2023). Who’s in Charge? Roles and Responsibilities of Decision-Making Components in Conversational Robots. In: HRI 2023 Workshop on Human-Robot Conversational Interaction. http://arxiv.org/abs/2303.08470Kristiina Jokinen. 2022. Conversational Agents and Robot Interaction. In HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments: 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings. Springer-Verlag, Berlin, Heidelberg, 280–292. https://doi.org/10.1007/978-3-031-17618-0_21Mary Ellen Foster. 2019. Natural language generation for social robotics: opportunities and challenges. Philosophical Transactions of the Royal Society B, 2019 Dimosthenis Kontogiorgos, Andre Pereira, Boran Sahindal, Sanne van Waveren, Joakim Gustafson. 2020. Behavioural Responses to Robot Conversational Failures. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’20), March 23–26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3319502.3374782Gabriel Skantze, Turn-taking in Conversational Systems and Human-Robot Interaction: A Review, Computer Speech & Language, Volume 67, 2021, 101178 https://doi.org/10.1016/j.csl.2020.101178.
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| 7-6 | IEEE Open Journal of Signal Processing: long papers of ICASSP 2024.
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| 7-7 | Call for papers on Prosody in a New journal: Journal of Connected Speech
Submissions are invited for a new journal in the area of connected speech. To submit articles please go to https://journal.equinoxpub.com/JCS/about/submissions
The aim of the Journal of Connected Speech is to provide a platform for the study of connected speech in both its formal and functional aspects (from prosody to discourse analysis). The journal explores issues linked to transcription systems, instrumentation, and data collection methodology, as well as models within broadly functional, cognitive, and psycholinguistic approaches.
The journal launches in 2024. See https://journal.equinoxpub.com/index.php/JCS/index
If you have any queries, please contact me at m.j.ball@bangor.ac.uk
Martin J. Ball, DLitt, PhD, HonFRCSLT, FLSW
Athro er Anrhydedd,
Ysgol Iaith, Diwylliant a'r Celfyddydau,
Prifysgol Bangor, Cymru.
(Hefyd Athro Gwadd, Prifysgol Glynd?r Wrecsam)
Honorary Professor,
School of Arts, Culture and Language,
Bangor University, Wales.
(Also Visiting Professor, Wrexham Glynd?r University)
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| 7-8 | Journal on Multimodal User Interfaces (JMUI)
Dear researchers on multimodal interaction, Hope this email finds you well. On behalf of the editorial team of the Journal on Multimodal User Interfaces (JMUI), we are quite happy to inform you that our journal just reached an 2022 Impact Factor of 2.9! We have the pleasure to invite you to submit articles describing your research work on multimodal interaction to JMUI. The contribution can be in the form of original research articles, review articles, and short communications. JMUI is a SCIE indexed journal which provides a platform for research and advancement in the field of multimodal interaction and interfaces. We are particularly interested in high-quality articles that explore different interactive modalities (e.g., gestures, speech, gaze, facial expressions, graphics), their modeling and user-centric design, fusion, software architecture and usability in different interfaces (e.g. multimodal input, multimodal output, socially interactive agents) and application areas (e.g. education and training, health, users with special needs, mobile interaction). Please check the JMUI web site to read articles that we publish ( https://www.springer.com/journal/12193). Submitting your work to the Journal on Multimodal User Interfaces offers several advantages, including rigorous peer review by experts in the field, wide readership and visibility among researchers, and the opportunity to contribute to the advancement of this rapidly evolving domain. Current average duration from submission to first review is approximately between 60 to 90 days. To submit your manuscripts, please visit our online submission system at Editorial Manager ( https://www.editorialmanager.com/jmui/). Should you require any further information, or have any specific questions, please do not hesitate to reach out to us. Please also note that we welcome special issues on topics related to multimodal interactions and interfaces. We eagerly look forward to receiving your valuable contributions. Best regards, Jean-Claude MARTIN
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| 7-9 | Revue TAL
2024 Volume 65 Numéro 1 - Numéro non thématique
Date limite de soumission : au fil de l’eau jusqu’au 31/12/2023
Direction : Maxime Amblard, Cécile Fabre, Emmanuel Morin et Sophie Rosset
NOUVEAUTÉ
Les numéros non thématiques de la revue Traitement automatique des langues deviennent au « fil de l’eau » . Ainsi, chaque article du numéro 65-1 sera évalué au fur et à mesure de sa soumission et sera publié, sous réserve de son acceptation, sous un délai indicatif de six mois après sa soumission. L’appel pour le volume 65-1 est ainsi ouvert jusqu’au 31 décembre 2023.
THÈMES
La revue Traitement automatique des langues lance un appel à contributions ouvert. Les propositions de soumissions peuvent être d’ordre théorique ou expérimental et concerner tous les aspects du traitement automatique des langues écrites, parlées et signées et de la linguistique computationnelle, par exemple :
- Modèles computationnels de la langue
- Apprentissage et modélisation statistiques
- Intermodalité et multimodalité
- Multiplicité et diversité des langues
- Sémantique et compréhension
- Accès à l’information et fouille de textes
- Productions langagières et traitement/Génération/synthèse
- Evaluation
- Ressources linguistiques
- Explicabilité et reproductibilité
- TAL en interaction avec d’autres disciplines, humanités
numériques
La liste ci-dessus n'est pas exhaustive. Il est primordial, quel que soit le thème, que les aspects liés au traitement automatique des langues soient mis en valeur.
Les articles de type « prise de position » et « présentation de l’état de l'art » sont également les bienvenus.
LANGUE
Les articles sont écrits en français ou en anglais.
LA REVUE
La revue TAL (Traitement Automatique des Langues, http://www.atala.org/revuetal) est une revue internationale éditée depuis 1960 par l’ATALA (Association pour le Traitement Automatique des Langues) avec le concours du CNRS. Elle est publiée en format électronique, avec accès gratuit immédiat aux articles publiés.
DATES IMPORTANTES
Date limite de soumission : au fil de l’eau jusqu’au 31 décembre 2023
Notification aux auteurs après première relecture : deux mois après la soumission
Notification aux auteurs après seconde relecture : deux mois après première relecture
Publication : deux mois après seconde relecture
FORMAT
Les articles doivent faire entre 20 et 25 pages, références et annexes incluses (sans dérogation possible sur la longueur).
La revue TAL a un processus de relecture en double-aveugle. Merci d’anonymiser votre article, le nom du fichier, et de veiller à éviter les auto-références.
Les chercheurs ayant l’intention de soumettre une contribution sont invités à déposer leur article en cliquant sur le menu 'Soumission d’un article' (format PDF). Pour cela, si ce n’est déjà fait, s’inscrire sur le site _ http://www.sciencesconf.org_ (en haut à gauche, 'créer un compte'), puis revenir sur la page http://tal-65-1.sciencesconf.org/, se connecter et effectuer le dépôt.
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