--- title: "Identifying Phrase Boundaries in the — Cantanhede 2026" description: "The full text is not in the library (the publisher's page refused access); this card rests on the abstract as indexed by OpenAlex, and its ideas are…" authors: ["Saulo de Oliveira Cantanhede", "Martijn Naaijer", "Christian Canu Højgaard", "Oliver Glanz"] year: 2026 venue: "Religions" source: "https://doi.org/10.3390/rel17020192" doi: "10.3390/rel17020192" licence: "CC BY (per OpenAlex/publisher; Religions)" licence_url: "https://creativecommons.org/licenses/by/4.0/" summary_licence: "Elamur Cosmic License" canonical: "https://research.elamur.ai/free/en/papers/hbo-2026-cantanhede-identifying-phrase-boundaries-samaritan-pentateuch/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/hbo-2026-cantanhede-identifying-phrase-boundaries-samaritan-pentateuch/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [2026](https://md.research.elamur.ai/free/en/papers/2026/page/5/) / Identifying Phrase Boundaries in the Samaritan Pentateuch with Machine Learning # Identifying Phrase Boundaries in the Samaritan Pentateuch with Machine Learning **Authors:** Saulo de Oliveira Cantanhede, [Martijn Naaijer](https://md.research.elamur.ai/free/en/authors/martijn-naaijer/), [Christian Canu Højgaard](https://md.research.elamur.ai/free/en/authors/christian-canu-hojgaard/), Oliver Glanz · **Year:** 2026 · **Venue:** Religions 17(2), 192 **Link:** [doi.org/10.3390/rel17020192](https://doi.org/10.3390/rel17020192) · **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) [**0** citations](https://openalex.org/works?filter=cites:W7127592957) OpenAlex · 2026-10-14 · [Religions](https://openalex.org/S4210184657) · [licence](https://creativecommons.org/licenses/by/4.0/) - [Publisher's page](https://doi.org/10.3390/rel17020192) - [PDF](https://www.mdpi.com/2077-1444/17/2/192/pdf?version=1770194508) - [DOI 10.3390/rel17020192](https://doi.org/10.3390/rel17020192) - [OpenAlex](https://openalex.org/W7127592957) **Authors (4)** 1. [Saulo de Oliveira Cantanhede](https://openalex.org/A5061604211) [ORCID](https://orcid.org/0000-0002-9695-7119) · [Semantic Scholar](https://www.semanticscholar.org/author/2409417194) · h 0 · 0 citations · 11 works 2. [Martijn Naaijer](https://openalex.org/A5044518872) [ORCID](https://orcid.org/0009-0006-3325-0614) · [Semantic Scholar](https://www.semanticscholar.org/author/3148549) · h 3 · 16 citations · 24 works 3. [Christian Canu Højgaard](https://openalex.org/A5021554389) [ORCID](https://orcid.org/0000-0002-1855-1017) · [Semantic Scholar](https://www.semanticscholar.org/author/2287058269) · h 2 · 5 citations · 19 works 4. [Oliver Glanz](https://openalex.org/A5029814681) [ORCID](https://orcid.org/0000-0001-7968-6719) · [Semantic Scholar](https://www.semanticscholar.org/author/73047545) · h 4 · 54 citations · 61 works Citations and author metrics: OpenAlex, 2026-10-14; authors with the same name are not always told apart. ## What it is about The full text is not in the library (the publisher's page refused access); this card rests on the abstract as indexed by OpenAlex, and its ideas are provisional. The authors add the first syntactic layer to an open, morphologically annotated dataset of the Samaritan Pentateuch: phrase atoms and phrase boundaries. The markers were produced by a machine-learning parser earlier used for the morphology of Hebrew and Syriac texts (the ETCBC tradition), then corrected by hand because the output was not always right. They present the result as a resource for comparing corpora and for studying how the text was transmitted, and the corrections as better training data for later models. ## Ideas - I1. The Samaritan Pentateuch is the Torah in another tradition: once its data are available (licence to check), align it verse by verse with our MACULA Torah and list the differences that touch grammar (word order, as in the עוֹד examples of Joosten 2025; plene spelling; forms), as a dated table. - I2. Their workflow (automatic layer, then hand correction, with the corrections kept as training data) is the same as Mova's teacher loop; record the share of phrase boundaries they had to correct, if the paper gives it, as a reference figure for how good a phrase chunker on ancient Hebrew can be. - I3. Phrase atoms are a level our UD trees do not have; derive them from the trees (a head and its non-clausal dependents) and compare with ETCBC phrase boundaries on the MT Torah to see where our head rules disagree. ## For Mova I1 is for [languages/hbo/12-biblical-mishnaic-modern.md](https://mova.elamur.ai/free/en/docs/languages/hbo/12-biblical-mishnaic-modern/) and `01-script.md` (spelling). I2 is a note for chapter 13 (measures). I3 is a check in `tools/macula` against BHSA phrases, a cheap second gold beside PTNK (BHSA is CC BY-NC: a measure only, never copied). ## Cite The paper itself, not this card. BibTeX from the library's record of the work. [DOI 10.3390/rel17020192](https://doi.org/10.3390/rel17020192) ```bibtex @inproceedings{cantanhede2026identifying, title = {{Identifying Phrase Boundaries in the Samaritan Pentateuch with Machine Learning}}, author = {Cantanhede, Saulo de Oliveira and Naaijer, Martijn and Højgaard, Christian Canu and Glanz, Oliver}, booktitle = {Religions}, year = {2026}, doi = {10.3390/rel17020192}, url = {https://doi.org/10.3390/rel17020192} } ``` - [← previous Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches](https://md.research.elamur.ai/free/en/papers/park-2026-identifying-imaging-follow-up-radiology/) - [next → IIIT-BGP IWSLT 2026 Systems for Low-resource ST](https://md.research.elamur.ai/free/en/papers/singh-2026-iiit-bgp-iwslt-2026-systems/) - [↑ back to papers of 2026](https://md.research.elamur.ai/free/en/papers/2026/page/5/)