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Saturday, 7 October 2023
Breast implants have a positive impact on female sexuality, according to new research
Friday, 6 October 2023
Asian Games 2023, Medal Table
New engineered bacteria could destroy plastics in seawater
Thursday, 5 October 2023
Child drug poisonings and firearm deaths have skyrocketed in America: Study
AI translates 5,000-year-old cuneiform tablets into English | A new technology meets old languages.
Abstract
Cuneiform is one of the earliest writing systems in recorded human history (ca. 3,400 BCE–75 CE). Hundreds of thousands of such texts were found over the last two centuries, most of which are written in Sumerian and Akkadian. We show the high potential in assisting scholars and interested laypeople alike, by using natural language processing (NLP) methods such as convolutional neural networks (CNN), to automatically translate Akkadian from cuneiform Unicode glyphs directly to English (C2E) and from transliteration to English (T2E). We show that high-quality translations can be obtained when translating directly from cuneiform to English, as we get 36.52 and 37.47 Best Bilingual Evaluation Understudy 4 (BLEU4) scores for C2E and T2E, respectively. For C2E, our model is better than the translation memory baseline in 9.43, and for T2E, the difference is even higher and stands at 13.96. The model achieves best results in short- and medium-length sentences (c. 118 or less characters). As the number of digitized texts grows, the model can be improved by further training as part of a human-in-the-loop system which corrects the results.
Wednesday, 4 October 2023
What are possible specialities in power system engineering?
Calls for verbal abuse of children by adults to be formally recognised as form of child maltreatment
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Solar Panels and Batteries When it comes to the solar system , the first thing that may come to your mind is sizing solar batteries. De...