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The Maaloula Aramaic Speech Corpus (MASC)

Authors: Eid, Ghattas; Seyffarth, Esther; Rihan, Emad; Arnold, Werner; Plag, Ingo;

The Maaloula Aramaic Speech Corpus (MASC)

Abstract

This dataset contains the first electronic speech corpus of Maaloula Aramaic, an endangered Western Neo-Aramaic variety spoken in Syria. This 64,845-word corpus is available in four formats: (1) transcription, (2) lemmatized transcription, (3) audio files and time-aligned phonetic transcriptions, and (4) an SQLite database. The transcription files are a digitized and corrected version of authentic transcriptions of tape-recorded narratives coming from a fieldwork trip conducted in the 1980s and published in the early 1990s (Arnold, 1991a, 1991b). They contain no annotation, except for some informative tagging (e.g. to mark loanwords and misspoken words). In the lemmatized version of the files, each word form is followed by its lemma in angled brackets. The time-aligned TextGrid annotations consist of four tiers: the sentence level (Tier 1), the word level (Tiers 2 and 3), and the segment level (Tier 4). These TextGrid files are downloadable together with their audio files (for the original source of the audio data see Arnold, 2003). The SQLite database enables users to access the data on the level of tokens, types, lemmas, sentences, stories, or speakers. For more information, please see our paper: Ghattas Eid, Esther Seyffarth, Ingo Plag. 2022. The Maaloula Aramaic Speech Corpus (MASC): From Printed Material to a Lemmatized and Time-Aligned Corpus. In Proceedings of the Thirteenth International Conference on Language Resources and Evaluation (LREC 2022), Marseille, France. European Language Resources Association (ELRA).

Keywords

Western Neo-Aramaic, time alignment, language documentation corpus, Maaloula Aramaic, speech corpus, lemmatization

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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