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4 results for “Syriac”
Classical Syriac Genitive Constructions
<p>The data is sourced from the 92-page historical manuscript, <em>The Chronicle of Joshua the Stylite</em> [5th c. A.D] (Wright, 1882). A total of 116 tokens are included, collected via a method of random sampling.</p> <p>Each token corresponds to a full genitive construction: appositional (including compound nominals), periphrastic or double. Each token is transcribed in Syriac, transliterated, translated and glossed for word-class, noun features and genitive type.</p> <p>The dataset is not quality-checked; manuscript source pages for each token is provided to facilitate ease of validatation.</p>
Classical Syriac annotated lexemes
<p>31,972 lexemes in Classical Syriac and their inflectional forms annotated according to Sylak-Glassman (2016).</p>
Processing a Quarter (68 folios) of the Syriac Galen Palimpsest http://www.digitalgalen.net
<p>This dataset contains approximately a quarter of the Syriac Galen Palimpsest (http://www.digitalgalen.net/) which was image processed with the Canonical Variates Analysis method and the software existent at this web link https://github.com/corneliu37/GalenProject with the scope of retrieving a sixth-century translation from Greek language to Syriac language of the 2nd century Greek Scientist Aelius Galen book's "On Simple Drugs", which translation was made by the 6th century scientist Sergius of Resh 'Ayna, which text exists presently as an undertext of an eleventh-century liturgical work (i.e. the overtext) and this is known once again as the Syriac Galen Palimpsest. This quarter of the Syriac Galen Palimpsest was processed by Dr Corneliu Arsene, University of Manchester, United Kingdom, 2016 (68 folios processed with the Canonical Variates Analysis software/method from the total of about 250 unprocessed folios). </p>
Specialised POS Tagged Syriac Corpus for State Morphology
<h1>Overview</h1> <p>A total of twelve .TXT files each representing a Syriac text that has been transcribed and tagged for part-of-speech (POS). This corpus forms part of a PhD research project on the historical syntax of Aramaic (Syriac) at The Australian National University (2020—current) in Canberra, Australia. This research project is interested in noun state morphology, among other topics, which is reflected in the POS scheme for this corpus.</p> <h2>Method</h2> <p>A detailed summary of this methodology is provided in El-Khaissi (data paper in review with the <em>Journal of Open Data Humanities</em>).</p> <ul> <li>Transcriptions are sourced from <a href="https://syriaccorpus.org/" target="_blank" rel="noopener">Digital Syriac Corpus.</a></li> <li>POS tags are based on word matches using <a href="https://sedra.bethmardutho.org/about/openapi" target="_blank" rel="noopener">SEDRA IV API (v1.0.0).</a></li> <li>Selection of Syriac texts was optimised to minimise external influence on Syriac grammar and maximise full coverage of key periods of the Syriac language from 2nd—13th century AD.</li> </ul> <h2>POS Format & Abbreviations </h2> <p>POS tags in the text files follow the following format:</p> <blockquote> <p><syntax-category>-<state>_<syriac_word></p> </blockquote> <p>Thus, an underscore '_' marks the beginning of a tag sequence while tag values are separated by hyphen(s) '-'. For example (noting text directionality constraints):</p> <blockquote> <pre>ܒܘܪܟܬܐ_EMP-N</pre> </blockquote> <p>The following abbreviation lists the definition of all POS tags, which are based on the parameters available in <a href="https://sedra.bethmardutho.org/about/openapi" target="_blank" rel="noopener">SEDRA IV API (v1.0.0).</a></p> <table> <tbody> <tr> <td>Absolute state noun (indeterminate relic)</td> <td>ABS</td> </tr> <tr> <td>Emphatic state noun (new indeterminate)</td> <td>EMP</td> </tr> <tr> <td>Construct state noun (bound noun)</td> <td>CNS</td> </tr> <tr> <td>State not applicable</td> <td>X</td> </tr> <tr> <td>particle</td> <td>PTCL</td> </tr> <tr> <td>pronoun</td> <td>PRO</td> </tr> <tr> <td>preposition</td> <td>PREP</td> </tr> <tr> <td>verb</td> <td>V</td> </tr> <tr> <td>denominative</td> <td>DEN</td> </tr> <tr> <td>noun</td> <td>N</td> </tr> <tr> <td>numeral</td> <td>NUM</td> </tr> <tr> <td>substantive</td> <td>SBV</td> </tr> <tr> <td>adjective</td> <td>ADJ</td> </tr> <tr> <td>proper noun</td> <td>PN</td> </tr> <tr> <td>adverb</td> <td>ADV</td> </tr> <tr> <td>demonym</td> <td>DNM</td> </tr> <tr> <td>participle adjective</td> <td>PTCPADJ</td> </tr> <tr> <td>adverb</td> <td>ADV</td> </tr> <tr> <td>idiom</td> <td>IDM</td> </tr> <tr> <td>See Quality Control & Limitations below</td> <td>DUP</td> </tr> </tbody> </table> <h2>Quality Control & Limitations</h2> <p>On average per manuscript, the POS-tagging process achieved a 63.13% saturation of texts. The POS tagging process was based on an exact-match process, which does not take into account syntactic or semantic context. Syriac words which exhibit homonymy are thus tagged with the value 'DUP' and should be assessed manually based on its original context. Among all 297,981 words in the corpus with an available POS tag, approximately 73,188 (24.56%) of tags reflected some kind of homonymy involving a word with various semantic and/or syntactic interpretations.</p> <p>Since this dataset was created as part of a research project investigating noun state morphology, additional tags were created targetting various state values. Grammatical elements, like number and gender, were not required as part of this investigation and therefore excluded from the POS-tagging process.</p> <h2>Contact</h2> <p>For any questions, please contact Charbel El-Khaissi <Charbel.El-Khaissi@anu.edu.au>.</p>
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