Aramaic Aramaic was the common language of the Near East for a thousand years: the chancery language of the Persian empire, the language of parts of Daniel and Ezra, of the Targumim that read the Bible aloud in translation, of both Talmuds and of the Zohar, and today of the Neo-Aramaic speakers. These cards cover its grammar, its dialects, Syriac, and the tools built for it.
Mova reads Aramaic from its texts, dialect by dialect; the cards say which ideas go into its language segmenter, its dictionaries and its manuals of Biblical, Targumic, Palestinian, Babylonian and Zoharic Aramaic.
20 pages
aclbulk-2010-mcclanahan-probabilistic-morphological-analyzer-syriac A Probabilistic Morphological Analyzer for Syriac aclbulk-2020-gorene-lemmatization-pos-tagging-process-joint Lemmatization and POS-tagging process by using joint learning approach. Experimental results on Classical Armenian, Old Georgian, and Syriac aclbulk-2020-liebeskind-automatic-construction-aramaic-hebrew-translation Automatic Construction of Aramaic-Hebrew Translation Lexicon aclbulk-2023-naaijer-transformer-based-parser-syriac-morphology A Transformer-based parser for Syriac morphology aclbulk-2024-mitelman-code-switching-back-transliteration-bilingual Code-Switching and Back-Transliteration Using a Bilingual Model aclbulk-2024-sciolette-modeling-linking-between-text-lexicon Modeling linking between text and lexicon with OntoLex-Lemon: a case study of computational terminology for the Babylonian Talmud cl-2000-kiraz-multitiered-nonlinear-morphology-multitape-finite Multitiered Nonlinear Morphology Using Multitape Finite Automata: A Case Study on Syriac and Arabic hbobook-obp0209-khan-studies-grammar-lexicon-neo-aramaic Studies in the Grammar and Lexicon of Neo-Aramaic langsci-b123-gutman-attributive-constructions-north-eastern-neo Attributive Constructions in North-Eastern Neo-Aramaic langstream-2022-chen-btpk-based-interpretable-method-ner BTPK-based interpretable method for NER tasks based on Talmudic Public Announcement Logic langstream-2024-majeed-ancient-but-digitized-developing-handwritten Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset langstream-2024-nazari-nolor-asr-based-framework-expedited NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study langstream-2026-sliwa-machine-translation-between-english-syriac Machine Translation between English and Syriac (East Syriac Dialect) using Statistical Machine Learning lingbulk-2010-felt-ccash-web-application-framework-efficient CCASH: A Web Application Framework for Efficient, Distributed Language Resource Development lingbulk-2012-felt-first-results-study-evaluating-pre First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis lingbulk-2014-black-evaluating-lemmatization-models-machine-assisted Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage lingbulk-2016-kalin-morphosyntax-aspect-stacking-northeastern-neo The morphosyntax of aspect stacking in Northeastern Neo-Aramaic lingbulk-2021-yifrach-defining-definiteness-turoyo Defining Definiteness in Turoyo lingbulk-2022-coeckelbergs-pattern-interpretation-colibri-core-detect From Pattern to Interpretation. Using Colibri Core to Detect Translation Patterns in the Peshitta. lingbulk-2022-eid-maaloula-aramaic-speech-corpus-masc The Maaloula Aramaic Speech Corpus (MASC): From Printed Material to a Lemmatized and Time-Aligned Corpus This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/arc/