Results 261 to 270 of about 4,716,881 (314)

AraPunc: Arabic Punctuation Restoration Using Transformers

ACS/IEEE International Conference on Computer Systems and Applications, 2023
Adding punctuation to Arabic text enhances readability and clarity. This is very clear in many applications such as automatic speech recognition (ASR) and machine translation (MT) systems. In this paper, we introduce a new punctuation dataset.
Abdelrahman Sakr, Marwan Torki
semanticscholar   +1 more source

PUNCTUATION INTERFERENCE DURING TRANSLATION (ON THE EXAMPLE OF THE FRENCH LANGUAGE OF MOROCCAN BILINGUALS)

Modern Linguistic and Methodical-and-Didactic Researches, 2020
Statement of the problem. This work is devoted to the study of some of the features of the translation of punctuation marks. Attention is drawn to the peculiarities of the translation of punctuation in French under the influence of the Arabic language of
E. Kashkina, T.V. Gilyarovskaya
semanticscholar   +1 more source

Unsupervised Feature Vector Clustering Using Temporally Coded Spiking Networks

IEEE International Joint Conference on Neural Network, 2023
Spiking Neural Networks (SNNs) remain on the fringe of machine learning research despite their potential for fast low-power performance and fully local operation, including rapid online learning, on edge computing devices.
Peter G. Stratton   +2 more
semanticscholar   +1 more source

Punctuation

The Copyeditor's Workbook, 2019
Colon : no space before | one space after The colon concludes the salutation in a letter. To whom it may concern: The colon introduces an explanation after a complete sentence. There was only one choice left: to sell the family farm. The colon introduces
Colón
semanticscholar   +1 more source

Das Verhältnis geschriebener und gesprochener Sprache im 18. Jahrhundert am Beispiel der Interpunktion in Sprache und Musik

Zeitschrift für germanistische Linguistik, 2023
The oral realization of written punctuation basically brings two parameters into play: rhythm and intonation. The former is visualized in writing the typeface by a space, while the latter is determined by conventions and depends on the speaker’s personal
C. Schweitzer
semanticscholar   +1 more source

Assessing the Semantic Space Bias Caused by ASR Error Propagation and its Effect on Spoken Document Summarization

Interspeech, 2019
Ambitions in artificial intelligence involve machine understanding of human language. The state-of-the-art approach for Spoken Language Understanding is using an Automatic Speech Recognizer (ASR) to generate transcripts, which are further processed with ...
Máté Ákos Tündik   +2 more
semanticscholar   +1 more source

Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm

arXiv.org
In this paper, a tool for detecting LLM AI text generation is developed based on the Transformer model, aiming to improve the accuracy of AI text generation detection and provide reference for subsequent research.
Yuhong Mo   +4 more
semanticscholar   +1 more source

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