Files in this item
A probabilistic model of Ancient Egyptian writing
Item metadata
dc.contributor.author | Nederhof, Mark Jan | |
dc.contributor.author | Rahman, Fahrurrozi | |
dc.date.accessioned | 2017-07-04T14:30:08Z | |
dc.date.available | 2017-07-04T14:30:08Z | |
dc.date.issued | 2017-07-01 | |
dc.identifier | 250078507 | |
dc.identifier | e2752ce4-480f-4e0e-abd0-95b3511735c9 | |
dc.identifier.citation | Nederhof , M J & Rahman , F 2017 , ' A probabilistic model of Ancient Egyptian writing ' , Journal of Language Modelling , vol. 5 , no. 1 , pp. 131-163 . https://doi.org/10.15398/jlm.v5i1.150 | en |
dc.identifier.issn | 2299-8470 | |
dc.identifier.other | ORCID: /0000-0002-1845-6829/work/46002709 | |
dc.identifier.uri | https://hdl.handle.net/10023/11143 | |
dc.description.abstract | This article offers a formalization of how signs form words in Ancient Egyptian writing, for either hieroglyphic or hieratic texts. The formalization is in terms of a sequence of sign functions, which concurrently produce a sequence of signs and a sequence of phonemes. By involving a class of probabilistic automata, we can define the most likely sequence of sign functions that relates a given sequence of signs to a given sequence of phonemes. Experiments with two texts are discussed. | |
dc.format.extent | 332104 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Language Modelling | en |
dc.subject | Ancient Egyptian | en |
dc.subject | Writing systems | en |
dc.subject | Language models | en |
dc.subject | D051 Ancient History | en |
dc.subject | P Philology. Linguistics | en |
dc.subject | PI Oriental languages and literatures | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | Language and Linguistics | en |
dc.subject | Artificial Intelligence | en |
dc.subject | NDAS | en |
dc.subject.lcc | D051 | en |
dc.subject.lcc | P1 | en |
dc.subject.lcc | PI | en |
dc.subject.lcc | QA75 | en |
dc.title | A probabilistic model of Ancient Egyptian writing | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | https://doi.org/10.15398/jlm.v5i1.150 | |
dc.description.status | Peer reviewed | en |
This item appears in the following Collection(s)
Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.