Natural Language Processing Techniques

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Retrieval-Augmented Generation (RAG) has emerged as a fundamental paradigm for improving Large Language Models (LLMs) by incorporating external knowledge retrieval. RAG primarily aims to address the hallucination problem in LLMs that rely on extensive knowledge bases. A RAG system depends critically on design choices,…

Cross-lingual transfer is central to low-resource machine translation, but its behavior within closely related language families remains insufficiently characterized. We study transfer among five Turkic languages; Turkish, Azerbaijani, Uzbek, Kazakh, and Kyrgyz; using pairwise transfer matrices. In this setting, each…

Cross-lingual transfer is central to low-resource machine translation, but its behavior within closely related language families remains insufficiently characterized. We study transfer among five Turkic languages; Turkish, Azerbaijani, Uzbek, Kazakh, and Kyrgyz; using pairwise transfer matrices. In this setting, each…

Burak Aktaş, Mehmet Can Baytekin, Süha Kağan Köse, Ömer İlbilgi, Elif Özge Yılmaz, Cagri Toraman, Bilge Kaan Görür. Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026). 2026.

Text-to-SQL systems have achieved strong performance on English benchmarks, yet their behavior in morphologically rich, low-resource languages remains largely unexplored. We introduce BIRDTurk, the first Turkish adaptation of the BIRD benchmark, constructed through a controlled translation pipeline that adapts schema…

Text-to-SQL systems have achieved strong performance on English benchmarks, yet their behavior in morphologically rich, low-resource languages remains largely unexplored. We introduce BIRDTurk, the first Turkish adaptation of the BIRD benchmark, constructed through a controlled translation pipeline that adapts schema…

With the recent surge in the development of large language models, the need for comprehensive and language-specific evaluation benchmarks has become critical. While significant progress has been made in evaluating English-language models, benchmarks for other languages, particularly those with unique linguistic charac…

With the recent surge in the development of large language models, the need for comprehensive and language-specific evaluation benchmarks has become critical. While significant progress has been made in evaluating English-language models, benchmarks for other languages, particularly those with unique linguistic charac…

Cagri Toraman, Ahmet Kaan Sever, Ayşe Aysu Cengiz, Elif Ecem Arslan, Görkem Sevinç, Sarp Kantar, Mete Mert Birdal, Yusuf Faruk Güldemir, Ali Buğra Kanburoğlu, Sezen Felekoğlu, Birsen Şahin Kütük, Büşra Tufan, Elif Genç, Serkan Coşkun, Gupse Ekin Demir, Muhammed Emin Arayıcı, Olgun Dursun, Onur Gungor, Susan Üsküdarlı,…

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Despite Elasticsearch’s popularity in modern search pipelines, translating natural language queries (NLQs) into its domain-specific language (DSL) remains challenging, especially with the integration of semantic vector search. Existing benchmarks primarily focus on keyword-based query translation, overlooking the incr…