File:Reading Akkadian cuneiform using natural language processing.pdf
From Wikimedia Commons, the free media repository
Jump to navigation
Jump to search
![File:Reading Akkadian cuneiform using natural language processing.pdf](https://upload.wikimedia.org/wikipedia/commons/thumb/f/fb/Reading_Akkadian_cuneiform_using_natural_language_processing.pdf/page1-463px-Reading_Akkadian_cuneiform_using_natural_language_processing.pdf.jpg?20240815040252)
Size of this JPG preview of this PDF file: 463 × 599 pixels. Other resolutions: 185 × 240 pixels | 371 × 480 pixels | 593 × 768 pixels | 1,275 × 1,650 pixels.
Original file (1,275 × 1,650 pixels, file size: 1.76 MB, MIME type: application/pdf, 16 pages)
File information
Structured data
Captions
Captions
Reading Akkadian cuneiform using natural language processing
Summary
[edit]DescriptionReading Akkadian cuneiform using natural language processing.pdf |
English: In this paper we present a new method for automatic transliteration and segmentation of Unicode cuneiform glyphs using Natural Language Processing (NLP) techniques. Cuneiform is one of the earliest known writing system in the world, which documents millennia of human civilizations in the ancient Near East. Hundreds of thousands of cuneiform texts were found in the nineteenth and twentieth centuries CE, most of which are written in Akkadian. However, there are still tens of thousands of texts to be published. We use models based on machine learning algorithms such as recurrent neural networks (RNN) with an accuracy reaching up to 97% for automatically transliterating and segmenting standard Unicode cuneiform glyphs into words. Therefore, our method and results form a major step towards creating a human-machine interface for creating digitized editions. Our code, Akkademia, is made publicly available for use via a web application, a python package, and a github repository. |
Date | |
Source | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0240511 |
Author | Shai Gordin, Gai Gutherz, Ariel Elazary, Avital Romach, Enrique Jiménez, Jonathan Berant, Yoram Cohen |
doi:10.1371/journal.pone.0240511
Licensing
[edit]![w:en:Creative Commons](https://upload.wikimedia.org/wikipedia/commons/thumb/7/79/CC_some_rights_reserved.svg/90px-CC_some_rights_reserved.svg.png)
![attribution](https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/Cc-by_new_white.svg/24px-Cc-by_new_white.svg.png)
This file is licensed under the Creative Commons Attribution 4.0 International license.
- You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
- Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 04:02, 15 August 2024 | ![]() | 1,275 × 1,650, 16 pages (1.76 MB) | Koavf (talk | contribs) | Uploaded a work by Shai Gordin, Gai Gutherz, Ariel Elazary, Avital Romach, Enrique Jiménez, Jonathan Berant, Yoram Cohen from https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0240511 with UploadWizard |
You cannot overwrite this file.
File usage on Commons
The following page uses this file:
Metadata
This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.
Author | Shai Gordin, Gai Gutherz, Ariel Elazary, Avital Romach, Enrique Jiménez, Jonathan Berant, Yoram Cohen |
---|---|
Short title |
|
Identifier | doi:10.1371/journal.pone.0240511 |
Software used | Arbortext Advanced Print Publisher 11.0.3521/W Unicode-x64 |
Conversion program | PDFlib+PDI 9.0.6 (C++/Win64) |
Encrypted | no |
Page size | 612 x 792 pts (letter) |
Version of PDF format | 1.6 |