PerGOLD: Identification of offensive language in Persian tweets: leveraging crowdsourcing by Fatemeh Jafarinejad, Marziea Rahimi, Maryam Khodabakhsh, Seyedehfatemeh Karimi

“…In this paper, we introduce PerGOLD, a new Persian General Offensive Language Dataset, in which we use an event-based data collection methodology to detect offensive language in Persian Twitter. …”
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Native language resources can illuminate global darkspots in utilized plant species and reduce data shortfalls by Tuan Nguyen, Tuan Nguyen, Ana Sofía Monroy-Sais, Gabriela Rabeschini, Gabriela Rabeschini, Esra Per, Mohammed Abdul Kareem

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Quanta metodologia per despolhar l’enquesta Bourciez ? by Alexandre Génadot

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Are Natural Language Processing methods applicable to EPS forecasting in Poland? by Wojciech Kurylek

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Automated generation of discharge summaries: leveraging large language models with clinical data by Matthias Ganzinger, Nicola Kunz, Pascal Fuchs, Cornelia K. Lyu, Martin Loos, Martin Dugas, Thomas M. Pausch

“…Abstract This study explores the use of open-source large language models (LLMs) to automate generation of German discharge summaries from structured clinical data. …”
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UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data by Muhammad Zaheer Akhtar, Rashid Jahangir, QuratUl Ain, Muhammad Asif Nauman, Mueen Uddin, Syed Sajid Ullah

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La frase scissa nell’insegnamento dell’italiano per gli studenti di scienze umanistiche by Danijela Djorović

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Sign language detection dataset: A resource for AI-based recognition systemsMendeley Data by Bindu Garg, Manisha Kasar, Priyanka Paygude, Amol Dhumane, Srinivas Ambala, Jitendra Rajpurohit, Abhay Sharma, Vidula Meshram, Amber Vats, Achyut Kashyap

“…For diversity and realism, three participants were involved in data collection, each providing 1000 images per sign, resulting in a rich and diverse dataset. …”
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ONUBAD: A comprehensive dataset for automated conversion of Bangla regional dialects into standard Bengali dialectMendeley Data by Nusrat Sultana, Rumana Yasmin, Bijon Mallik, Mohammad Shorif Uddin

“…Despite significant research on the Bangla language in Natural Language Processing (NLP), there remains a notable resource deficit for its diverse regional dialects, such as those spoken in Chittagong, Sylhet, and Barisal. …”
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Cognitive Computing with Large Language Models for Student Assessment Feedback by Noorhan Abbas, Eric Atwell

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The Use of Large Language Models for the Analysis of Professional Competencies in the Regional Labor Market of the Republic of Belarus by I. N. Kalinouskaya

“…An integrated approach to the analysis of professional competencies in the Belarusian labor market using large language models is presented. A methodology is proposed that includes data collection using web scra­ pers, preliminary processing using a multi-level cleaning system and normalization of text information, classification and analysis of competencies based on interaction with large language models. …”
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Advancing automatic speech recognition for low-resource ghanaian languages: Audio datasets for Akan, Ewe, Dagbani, Dagaare, and IkposoScience Data Bank by Isaac Wiafe, Jamal-Deen Abdulai, Akon Obu Ekpezu, Raynard Dodzi Helegah, Elikem Doe Atsakpo, Charles Nutrokpor, Fiifi Baffoe Payin Winful, Kafui Kwashie Solaga

“…To enhance the dataset’s utility in ASR and linguistic research 10 % of the audio recordings for each language were randomly selected and transcribed, resulting in approximately 100 h of transcription per language. …”
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Cost-effectiveness of speech and language therapy plus scalp acupuncture versus speech and language therapy alone for community-based patients with Broca’s aphasia after stroke: a... by Jing Tao, Lidian Chen, Jia Huang, Ying Xu, Zhizhen Liu, Jingsong Wu

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A curated crowdsourced dataset of Luganda and Swahili speech for text-to-speech synthesisMendeley Data by Andrew Katumba, Sulaiman Kagumire, Joyce Nakatumba-Nabende, John Quinn, Sudi Murindanyi

“…The final dataset contains over 19 h of Luganda and 15 h of Kiswahili recordings from six female speakers per language, each paired with a text transcription. …”
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A dataset for classifying phrases and sentences into statements, questions, or exclamations based on sound pitchMendeley Data. by Ayub Othman Abdulrahman, Shanga Ismail Othman, Gazo Badran Yasin, Meer Salam Ali

“…The dataset contains equal representation from all three classes, about 4200 samples per class, and metadata such as speaker gender, age group, and sentence identifiers.The original audio files, alongside resources like Mel-Frequency Cepstral Coefficients (MFCCs) and waveform visualizations, can be found on Mendeley Data. …”
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A Systematic Review of Cost-Effectiveness Studies Reporting Cost-per-DALY Averted. by Peter J Neumann, Teja Thorat, Yue Zhong, Jordan Anderson, Megan Farquhar, Mark Salem, Eileen Sandberg, Cayla J Saret, Colby Wilkinson, Joshua T Cohen

“…<h4>Methods</h4>We conducted a systematic review of cost-effectiveness studies reporting cost-per-DALY averted from 2000 through 2015. We developed the Global Health Cost-Effectiveness Analysis (GHCEA) Registry, a repository of English-language cost-per-DALY averted studies indexed in PubMed. …”
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StegGPT: A Novel Foundation-Model-Based Character-Level Linguistic Steganography Method Utilizing Large Language Models by Omer Farooq Ahmed Adeeb, Seyed Jahanshah Kabudian

“…This study addresses the critical need for robust safeguarding of sensitive data stored on personal computing devices and during data transmissions, alongside the increasing need for secure digital interactions. …”
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English- and Spanish-speaking U.S. adults’ perceptions of the most common reasons for abortion: a study of open-ended data before and after Dobbs v. Jackson by Lucrecia Mena-Meléndez, Xiana Bueno, Kyla M. Cary, Nana Amma Asamoah, Brandon L. Crawford, Ronna C. Turner, Kristen N. Jozkowski

“…Methods We analyzed open-ended data from two waves of a 2022 longitudinal survey (n = 681 participants; n = 2,043 responses per wave; n = 4,086 total responses) collected before and after the Dobbs decision in English and Spanish via Ipsos’s KnowledgePanel®. …”
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Il controllo di autorità come sfida per la filologia. Frequently Asked Question by Nathanael Bush

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Application of machine learning and temporal response function modeling of EEG data for differential diagnosis in primary progressive aphasia by Heather Dial, Lokesha S. Pugalenthi, G. Nike Gnanateja, Junyi Jessy Li, Maya L. Henry

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