Constructing an Annotated Resource for Part-Of-Speech Tagging of Mishnaic Hebrew
Year: 2018
Type: conference-paper
Abstract: This paper introduces the research in Part-Of-Speech tagging of mishnaic Hebrew carried out within the Babylonian Talmud Translation Project. Since no tagged resource was available to train a stochastic POS tagger, a portion of the Mishna of the Babylonian Talmud has been morphologically annotated using an ad hoc developed tool connected with the DB containing the talmudic text being translated. The final aim of this research is to add a linguistic support to the Translation Memory System of Traduco, the Computer-Assisted Translation tool developed and used within the Project.
Authors: Emiliano Giovannetti, Davide Albanesi, Andrea Bellandi, Simone Marchi, Alessandra Pecchioli
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2907516253
