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Jewish Palestinian Aramaic in Mova: what it would need

General plan: Aramaic in Mova: what it would need. Status (2026-10-17): no JPA text is parsed or tagged.

1. The data

Counted 2026-10-17 in the Sefaria export (registry texts.tsv); words are whitespace tokens after stripping HTML; Hebrew and Aramaic together.

texteditionlicencefileswordsuse
Jerusalem Talmud (39 tractates)Guggenheimer (De Gruyter 1999–2015), vocalisedCC BY39811 526build and test, with attribution
Jerusalem TalmudVenice 1523; Mechon-Mamreunknown → privatenot used
Pseudo-Jonathan (Torah)Sefaria "Targum Jonathan on Genesis" …public domain5build and test (mixed language)
Fragment targumSefaria "Targum Jerusalem on Torah"public domain1build and test
Pseudo-Jonathan + Fragment targum togetherpublic domain6122 656
Targum NeofitiVatican MS (Sefaria file)unknown → private; the file holds only 137 words1137not used; a full PD text is wanted
Palestinian midrashim (Genesis Rabbah etc.)various Sefaria versionssome PD, some unknownmostly Hebrew; Aramaic stories inside

The Guggenheimer Yerushalmi is the most valuable open Aramaic text Mova has: 39 tractates, vocalised, CC BY (attribution only). It is the one large Talmudic corpus that can be used to build.

2. What is special about JPA for a model

  1. Very little parsed or annotated material exists, and none of it is open. Sokoloff's dictionary and Fassberg's grammar are in copyright.
  2. The text is mixed with Hebrew more than the Bavli; Aramaic sentences are often short links between Hebrew statements (The lexicon of Jewish Palestinian Aramaic §4).
  3. The printed Yerushalmi was Babylonianised by copyists; a model trained on it will see some JBA forms (לימא 3×, האי 6×). These are not errors of the model; they should be counted and reported.

3. Telling JPA from JBA: a measured cue set

The counts in Jewish Palestinian Aramaic (jpa) §2 and The lexicon of Jewish Palestinian Aramaic §1 give a deterministic classifier with explainable cues:

JPA cueYBJBA cueYB
כְּדוֹן4190הַשְׁתָּא1974
לוֹן7310לְהוּ94 024
הָדָא2 11723הַאי62 246
הֵיךְ2180הֵיכִי—1 399
אוּף1880נַמִי—6 858
בְּגִין2502קָא02 828
סַגִּין610טוּבָא0191
אִין תֵּימַר382—אִיכָּא62 488

(Y = Guggenheimer Yerushalmi, CC BY; B = Wikisource Bavli, CC BY-SA, measurement only; unpointed tokens; 2026-10-17.)

Proposed test (not yet run): score each paragraph by (JPA cues − JBA cues); measure on held-out paragraphs of both Talmuds, and on the hard cases — Palestinian traditions quoted in the Bavli, and Babylonian forms in the Yerushalmi. The negative control: the same classifier on Hebrew paragraphs (Mishnah) must say "neither", not guess.

The same cue table extends to the targums: Onkelos has neither set (it has כְּעַן, אֲרֵי, יָת), Pseudo-Jonathan has the JPA set partly (The lexicon of the targums §5).

4. Tokenisation and trees

5. What JPA can teach the SLM

The Elamur team

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/languages/jpa/mova/