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First machine translation systems developed for English-Pnar language pair

By PulseAugur Editorial · [1 sources] ·

Researchers have developed the first machine translation systems for the English and Pnar language pair, an Austroasiatic language spoken by approximately 0.4 million people. Using articles from the Wyrta newspaper, a parallel corpus of 10,234 sentences was created to train phrase-based statistical machine translation models. The best performing system achieved a BLEU score of 14.97 for Pnar to English and 11.16 for English to Pnar, establishing a quantitative benchmark for this low-resource language pair. AI

IMPACT Establishes a benchmark for machine translation of low-resource languages, potentially guiding future NLP development for similar languages.

RANK_REASON Academic paper detailing a new machine translation system for a low-resource language pair. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

First machine translation systems developed for English-Pnar language pair

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Academic paper detailing a new machine translation system for a low-resource language pair. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Edawanbiang Dhar Surmila Thokchom, Thoudam Doren Singh ·

    Statistical Machine Translation Systems of English-Pnar Language Pair : Some Insights of the Emperical Study

    arXiv:2608.23120v1 Announce Type: cross Abstract: Pnar, an Austroasiatic language spoken by approximately 0.4 million people in the Jaintia Hills of Meghalaya, lacks the digital corpora and natural language processing (NLP) resources. This paper presents the first machine transla…

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