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Ushbu maqolada korpus matnlarini sintaktik teglashning nazariy va amaliy ahamiyati, morfologik teglashning sintaktik tahlil uchun zarurati, hamda korpus matnlaridagi sintaktik birliklar va ular o&lsqu…

Ushbu maqolada korpus matnlarini sintaktik teglashning nazariy va amaliy ahamiyati, morfologik teglashning sintaktik tahlil uchun zarurati, hamda korpus matnlaridagi sintaktik birliklar va ular o‘rtasidagi munosabatlarni avtomatik aniqlash imkonini beruvchi grammatikalar, xususan, tobelanish grammatikasi tahlil qilinadi. Shuningdek, sintaktik teglangan korpuslarning tabiiy tilni qayta ishlash, avtomatik tarjima, axborot qidiruv tizimi, lingvistik tadqiqotlar va elektron lug‘atlar yaratishdagi ahamiyati ham yoritilgan. Bundan tashqari, korpus matnlarini sintaktik teglash uchun tobelanish grammatikasi modellarini takomillashtirish zarurati masalasi ham tahlilga tortilgan.

Ushbu maqolada avtomatik nutqni tanish (ASR) tizimlarining shakllanish tarixi, tasniflanishi va zamonaviy rivojlanish tendensiyalari tahlil qilingan. Tadqiqotda an’anaviy nutqni aniqlash usullar…

Ushbu maqolada avtomatik nutqni tanish (ASR) tizimlarining shakllanish tarixi, tasniflanishi va zamonaviy rivojlanish tendensiyalari tahlil qilingan. Tadqiqotda an’anaviy nutqni aniqlash usullaridan zamonaviy o‘z-o‘zini boshqaradigan (Self-Supervised Learning – SSL) modellariga o‘tish bosqichlari hamda ularning o‘zbek tili nutq texnologiyalaridagi o‘rni yoritilgan. Shuningdek, maqolada o‘zbek tili nutq korpuslarining yaratilishi, xususan, professor N. Abduraxmonova rahbarligidagi loyihalar va Mozilla Common Voice ma’lumotlar bazasining SSL modellarini (Wav2Vec 2.0, Whisper) o‘qitishdagi ahamiyati asoslab berilgan. Tadqiqot natijalari SSL yondashuvi resursi kam tillar uchun matnga bog‘lanmagan audio ma’lumotlardan samarali foydalanish imkonini berishini ko‘rsatadi.

Pendidikan karakter merupakan bagian penting dalam proses pendidikan karena keberhasilanpendidikan tidak hanya ditentukan oleh kemampuan akademik, tetapi juga oleh terbentuknyasikap, nilai, tanggung j…

Pendidikan karakter merupakan bagian penting dalam proses pendidikan karena keberhasilanpendidikan tidak hanya ditentukan oleh kemampuan akademik, tetapi juga oleh terbentuknyasikap, nilai, tanggung jawab, empati, dan perilaku peserta didik. Dalam konteks tersebut, gurumemiliki peran strategis sebagai pendidik, teladan, fasilitator, mediator budaya, dan pengembangkesadaran kritis. Kajian ini bertujuan menganalisis peran strategis guru dalam pendidikan karaktermelalui integrasi kearifan lokal, pembelajaran sastra, kritik sastra, dan literasi digital. Metode yangdigunakan adalah kajian literatur dengan menelaah berbagai artikel jurnal, buku, dan publikasiakademik yang relevan dengan pendidikan karakter, kearifan lokal Bugis-Makassar, pembelajaransastra, kritik sastra, serta perkembangan literasi di era digital. Analisis dilakukan melaluiidentifikasi, seleksi, pengelompokan, analisis isi, dan sintesis terhadap berbagai sumber literatur.Hasil kajian menunjukkan bahwa kearifan lokal memiliki potensi kuat sebagai sumber nilai dalampendidikan karakter. Nilai Sipakatau, Sipakalebbi, dan Sipakainge dapat dikembangkan untukmembangun penghargaan terhadap sesama, tanggung jawab, etika, dan kepedulian sosial. TradisiTudang Sipulung juga dapat mendukung pengembangan karakter gotong royong, musyawarah, danketerampilan sosial. Selain itu, sastra dapat menjadi ruang refleksi nilai melalui tokoh, konflik,dan persoalan kehidupan, sedangkan kritik sastra dapat mengembangkan kemampuan berpikirkritis dan kesadaran sosial peserta didik. Pada era digital, integrasi sastra, kearifan lokal, danliterasi kritis semakin diperlukan agar peserta didik mampu menggunakan informasi dan teknologisecara bijaksana, etis, dan bertanggung jawab. Dengan demikian, guru memiliki posisi pentingdalam mengintegrasikan nilai budaya, sastra, kritik sastra, dan literasi digital untuk membentukgenerasi yang berkarakter, kritis, berbudaya, dan adaptif terhadap perubahan zaman.

This data set focuses on the technical lignin potential present in residual hydrolysates from lignocellulosebiomass processing. In the EU27 these hydrolysates occur in industrial processes such as in …

This data set focuses on the technical lignin potential present in residual hydrolysates from lignocellulosebiomass processing. In the EU27 these hydrolysates occur in industrial processes such as in the pulpproduction or production sites targeting lignin and other wood compound extraction. Using desk research, processing sites in the EU27 countries that generate residual hydrolysate have beenidentified and mapped. Corresponding information on primary input materials, input quantities, mainproduction processes, as well as main products and their quantities, has been compiled. The applied processsignificantly influences the proportion of lignin that is solubilized and transferred into the residualhydrolysate. Therefore, mass balances of input materials, such as straw, hardwood, softwood, or grass andthe resulting pulp and residual hydrolysate have been derived from various literature sources to calculatethe solubilized hemicellulose accordingly. The initial lignin content of the input materials dry matter wasmultiplied by the process-specific share of soluble lignin components, resulting in a process-specific ligninpotential at the level of individual production sites. In cases where a production site operates multipleproduction lines, each line was assessed separately. For the majority of production sites, only information oninput materials and pulp output was available, necessitating the calculation starting from pulp to inputmaterial quantities. So far, the hydrolysate is predominantly used in the recovery boiler for energy andmaterial purposes whereas the lignin is basically combusted for energy production. This data publication comprises all collected information related to the afore mentioned categories. Eachvalue is accompanied by additional metadata, including the unit, an indication of whether it was estimatedby the authors, and literature sources used for the calculations. All lignin values are average values fromliterature for the mass calculation. If only a single value for pulp but different input material was found, thepulp value was split accordingly to available information (no information 50:50). The same was done withbleached and unbleached pulp produced in the same factory where only a single value of pulp quantity wasfound. All the data on biomass potential is provided in the corresponding CSV file. A detailed overview of theavailable data and sources is provided in the metadata file for this dataset. The work was done within the project SURFsUp. The project is supported by the Circular Bio-based EuropeJoint Undertaking and its members under Grant Agreement No. 101157586 and UKRI Grant Agreement No.10115826.

Full Changelog: https://github.com/FZJ-INM1-BDA/siibra-api/compare/v0.3.36-rc4...v0.3.36-rc5

Mazkur maqolada brend nomlarining lingvistik mohiyati zamonaviy tilshunoslik nuqtayi nazaridan tahlil qilinadi. Brend nomi tilning nominativ imkoniyatlari mahsuli sifatida talqin etilib, uning semanti…

Mazkur maqolada brend nomlarining lingvistik mohiyati zamonaviy tilshunoslik nuqtayi nazaridan tahlil qilinadi. Brend nomi tilning nominativ imkoniyatlari mahsuli sifatida talqin etilib, uning semantik, fonetik va lingvokulturologik xususiyatlari yoritiladi. Tadqiqot davomida brend nomlarining iste’molchi ongida assotsiativ tasavvurlarni shakllantirishdagi o‘rni, madaniy identitet bilan bog‘liqligi hamda kommunikativ vazifalari tahlil qilinadi. Shu bilan birga, ularning til va jamiyat o‘rtasidagi o‘zaro munosabatni aks ettiruvchi muhim lingvistik hodisa ekanligi asoslab beriladi. Tadqiqot natijalari brend yaratish jarayonida til omilining ahamiyatini chuqurroq anglashga xizmat qiladi.

First Zenodo-archived release with the final self-contained executable and citation metadata.

Kompyuter lingvistikasi doirasida leksik birliklar o‘rtasidagi semantik munosabatlarni avtomatik aniqlash masalasi nazariy va amaliy jihatdan alohida ahamiyatga ega boʻlib, ular orasida giponim&…

Kompyuter lingvistikasi doirasida leksik birliklar o‘rtasidagi semantik munosabatlarni avtomatik aniqlash masalasi nazariy va amaliy jihatdan alohida ahamiyatga ega boʻlib, ular orasida giponim–giperonimik munosabatlar tilning semantik iyerarxiyasini ochib beruvchi muhim mexanizm sanaladi. Mazkur maqolada turizmga oid milliy-madaniy birliklarning n-gram modeli, giponim-giperonimik munosabatlari bilan bogʻliq lingvistik xususiyatlari, semantik aloqalari hamda nutqda qo‘llanish chastotasi, o‘zaro birikuvchanligi va kontekstual xususiyatlarini aniqlashda n-gram modelining imkoniyatlari tadqiq etiladi.

This repository contains the supplementary materials for a study examining autism-related discourse on the X (Twitter) platform through a comparative sentiment and topic modeling analysis of Turkish- …

This repository contains the supplementary materials for a study examining autism-related discourse on the X (Twitter) platform through a comparative sentiment and topic modeling analysis of Turkish- and English-language posts. Contents: bert_topic_model_python_code_english.py — Python script implementing the BERTopic modeling pipeline applied to the English-language corpus, including embedding generation (all-MiniLM-L6-v2), dimensionality reduction, clustering, and c-TF-IDF-based topic representation. bert_topic_model_python_code_turkish.py — Python script implementing the BERTopic modeling pipeline applied to the Turkish-language corpus, including embedding generation (paraphrase-multilingual-MiniLM-L12-v2), dimensionality reduction, clustering, and c-TF-IDF-based topic representation. english_topic_modelling_results.html — Interactive visualization of the topic model output for the English-language corpus, including intertopic distance mapping and topic-term representations. turkish_topic_modelling_results.html — Interactive visualization of the topic model output for the Turkish-language corpus, including intertopic distance mapping and topic-term representations. english_topic_modelling_counts.xlsx — Full list of topics identified in the English-language corpus, including document counts and top keywords with their c-TF-IDF scores. turkish_topic_modelling_counts.xlsx — Full list of topics identified in the Turkish-language corpus, including document counts and top keywords with their c-TF-IDF scores. These materials are provided to support the transparency and reproducibility of the topic modeling analysis reported in the associated manuscript. In accordance with X's developer policy, raw tweet text is not included in this repository; only derived analytical outputs (topic assignments, keyword weights, and code) are shared.