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First English-Syriac machine translation model developed using Bible corpus

By PulseAugur Editorial · [2 sources] ·

Researchers have developed the first phrase-based Statistical Machine Translation (SMT) model for English-to-Syriac, addressing the challenge of translating an endangered language with complex orthography. The study created a dataset of nearly 40,000 sentence pairs from the Bible, employing custom scripts and manual review for alignment. The resulting model achieved a BLEU score of 23.54, with human evaluations showing adequate performance, providing a baseline for future NLP work on Syriac. AI

IMPACT Provides a foundational dataset and model for future NLP research on endangered languages like Syriac.

RANK_REASON The cluster describes a research paper detailing the development of a new machine translation model for a low-resource language.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

First English-Syriac machine translation model developed using Bible corpus

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Hadiana Sliwa, Hossein Hassani ·

    Machine Translation between English and Syriac (East Syriac Dialect) using Statistical Machine Learning

    arXiv:2609.18529v1 Announce Type: new Abstract: UNESCO considers the Assyrian (Syriac) language an endangered language. Although Assyrians speak the language worldwide, the speaking population is uncertain (ranging from 500,000 to 1,500,000). Syriac is also one of the least studi…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Machine Translation between English and Syriac (East Syriac Dialect) using Statistical Machine Learning

    UNESCO considers the Assyrian (Syriac) language an endangered language. Although Assyrians speak the language worldwide, the speaking population is uncertain (ranging from 500,000 to 1,500,000). Syriac is also one of the least studied languages in Natural Language Processing (NLP…

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