Bridging Scientific Heritage: An Arabic--Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer
arXiv:2606.30943v1 Announce Type: new Abstract: Russian and Arabic are among the major languages of scientific communication. Language barriers impede the exchange of research results between these communities, which affects international collaboration and the progress of sustainability-related research. We present a benchmark for Arabic--Russian scientific translation. The benchmark includes a hybrid parallel corpus of about 27,000 sentence pairs, compiled from scientific abstracts and general-domain texts (religion, news, conversations). We fine-tune three multilingual language models -- mT5
The increasing focus on AI for scientific translation and the geo-political realignment driving collaboration between nations like Russia and Arabic-speaking countries necessitate dedicated linguistic resources.
This development addresses language barriers in scientific communication, fostering knowledge exchange and potentially supporting research in areas like sustainability, thereby impacting international collaboration dynamics.
The availability of a specialized Arabic-Russian parallel corpus and benchmark will improve the quality of scientific translation between these languages, making scientific outputs more accessible to a broader audience.
- · Russian scientific community
- · Arabic scientific community
- · Multilingual LLM developers
- · Academic researchers
- · Monolingual scientific institutions
- · Legacy translation services
Enhanced scientific collaboration and knowledge transfer between Russian and Arabic-speaking researchers through improved AI translation.
Potential for new joint research initiatives and accelerated progress in fields where both communities have expertise, such as sustainable technologies.
Reduced reliance on Western-centric scientific communication channels, fostering alternative knowledge networks and potentially influencing global research agendas.
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Read at arXiv cs.CL