Word-embedding Based Text Vectorization Using Clustering by Vitaly I. Yuferev, Nikolai A. Razin

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Automated text processing: topic segmentation of educational texts by Marina I. Solnyshkina, Iskander E. Yarmakeev, Elzara V. Gafiyatova, Farida Kh. Ismaeva

“…The article explores the problem of automatic quantitative assessment of text complexity and thematic segmentation of texts. …”
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Text Font Correction and Alignment Method for Scene Text Recognition by Liuxu Ding, Yuefeng Liu, Qiyan Zhao, Yunong Liu

“…Text recognition is a rapidly evolving task with broad practical applications across multiple industries. …”
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Text Detection Method With Emphasis on Text Component Importance and Lightweight Design by Lanlan Yin, Qiming Wu

“…As the main carrier of information exchange, text detection is crucial in image scenes. However, the complexity of text detection tasks is high, there are many interference items, and existing text detection methods have problems such as excessive smoothing. …”
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Investigations into the conversion of ethanol to butadiene-1,3 using CuO/$\protect \text{La}_2\protect \text{O}_3$/$\protect \text{ZrO}_2$/$\protect \text{SiO}_2$ catalyst systems by Makhin, Maxim, Bedenko, Stanislav, Budnyak, Alexey, Dmitriev, Georgy, Zanaveskin, Leonid

“…The average butadiene-1,3 yield was over 34% in 8 h. The stability of the CuO/$\text{La}_2\text{O}_3$/$\text{ZrO}_2$/$\text{SiO}_2$ catalyst was evaluated for 5 cycles of 24 h. …”
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The Menzerath–Altmann law: Experimenting with Tatar texts by A.M. Galieva

“…The main purpose of this paper is empirical testing of the Menzerath–Altmann law on the Tatar language with the help of various fiction texts (both poetry and prose). The distribution of word forms in the Tatar language by length, observed values of the average syllable length depending on the word length, average values of the syllable length predicted by the model, as well as the model parameters were investigated for the analyzed texts. …”
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Reinforcement learning meets technical analysis: combining moving average rules for optimal alpha by Javier H. Ospina-Holguín, Ana M. Padilla-Ospina

“…By combining 199 simple moving average signals in a systematic manner, the algorithm was able to maximize the [Formula: see text] asset pricing model alpha using a high-volatility United States stock portfolio as a risky asset. …”
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The New Paradigm of Deepfake Detection at the Text Level by Cosmina-Mihaela Rosca, Adrian Stancu, Emilian Marian Iovanovici

“…The world is currently facing the issue of text authenticity in different areas. The implications of generated text can raise concerns about manipulation. …”
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Readability of Texts Turkish Textbooks in Grades 5 by Alpaslan Okur, Esra Okur, Fatma Ersoyol, Gökhan Arı

“…In 5th grade Turkish text books average word and sentence length, readability level of difficulty and it tried to determine radability level of difficulity to change of narrative and expository. …”
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A comparative dynamical analysis of Hebrew texts by Abraham Boyarsky, Pawel Góra

“…First, the average mutual information for each of the texts is determined. …”
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Cascaded Dual-Inpainting Network for Scene Text by Chunmei Liu

“…The experimental results demonstrate compelling performance on the benchmark dataset, showcasing both the effectiveness of the proposed dual-inpainting network and its accuracy in incomplete scene text recognition. The proposed network achieves an average recognition accuracy improvement of 11.94% compared to baseline methods for incomplete scene text recognition tasks.…”
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Hybrid Lossless Compression Techniques for English Text by Jannat Tariq, Mahmood F. Mosleh, Maha Abdulameer, Huthaifa A. Obeidat, Omar A. Obeidat

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Advanced Hierarchical Topic Labeling for Short Text by Paras Tiwari, Ashutosh Tripathi, Avaneesh Singh, Sawan Rai

“…In this work, we propose a BERT-embedding inspired methodology for labeling hierarchical topics in short text corpora. The short texts have gained significant popularity on multiple platforms in diverse domains. …”
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Text-guided RGB-P grasp generation by Van Duc Vu, Van Thiep Nguyen, Nam Hai Pham, Dinh-Cuong Hoang, Phan Xuan Tan

“…Our approach achieves superior performance, with an average precision (AP) of 53.2% on the GraspNet-1Billion dataset, significantly outperforming state-of-the-art methods. …”
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Comparison of Style Features for the Authorship Verification of Literary Texts by Ksenia Vladimirovna Lagutina

“…There are 40 fragments for each author. 20 authors who wrote in English, Russian, French, and 8 Spanish-language authors are considered.The authors of this paper use existing algorithms for calculation of low-level features, popular in the computer linguistics, and rhythm features, common for the literary texts. Low-level features include n-grams of words, frequencies of letters and punctuation marks, average word and sentence lengths, etc. …”
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Using parallel text for the extraction of German multiword expressions by Fabienne Fritzinger

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COMPUTER-ASSISTED TRANSLATION RISKS AND THREATS IN LEGAL TEXTS by Georgiana, MÎNDRECI

“…The field of translating legal texts from Romanian into English is deprived of a large number of specialists and this is one of the main reasons why more and more people resort to computer-assisted translations, especially Google translations when dealing with translating various texts (from Romanian into English or vice-versa), in this particular case legal texts. …”
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Adaptive feature interaction enhancement network for text classification by Rui Su, Shangbing Gao, Kefan Zhao, Junqiang Zhang

“…Abstract Text classification aims to establish text distinctions, which face difficulty in capturing global text semantics and local details. …”
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Automatic recognition and representation of text in the form of audio stream by L. V. Serebryanaya, I. E. Lasy

“…The problem of automatic speech generation from a text file is considered. An analytical review of the software has been completed. …”
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Eye-tracking as a proxy for coherence and complexity of texts. by Débora Torres, Wagner R Sena, Humberto A Carmona, André A Moreira, Hernán A Makse, José S Andrade

“…The computational analysis of the fixation maps obtained from the gaze trajectories of the subjects for a given text reveals that the average "magnetization" of the fixation configurations correlates strongly with their complexity observed in the survey. …”
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