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ENTITY Turkish

Turkish

PulseAugur coverage of Turkish — every cluster mentioning Turkish across labs, papers, and developer communities, ranked by signal.

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Papers · 30d
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TIER MIX · 90D
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SENTIMENT · 30D

3 day(s) with sentiment data

RECENT · PAGE 1/1 · 8 TOTAL
  1. RESEARCH · CL_107757 ·

    LLMs tested for Turkish scam detection using new audio-transcript dataset

    Researchers have explored the effectiveness of large language models (LLMs) in detecting phone call scams in Turkish, a low-resource language. They introduced a new dataset of 100 aligned audio-transcript pairs of scam …

  2. RESEARCH · CL_98046 ·

    Morpheus: New Turkish Language Model Achieves Superior Morphological Alignment

    Researchers have developed Morpheus, a novel neural tokenizer and word embedder specifically designed for the Turkish language. Unlike traditional subword tokenizers that can fragment Turkish's agglutinative structure, …

  3. TOOL · CL_65867 ·

    New SindBERT model advances Turkish NLP capabilities

    Researchers have developed SindBERT, a new large-scale RoBERTa-based language model specifically for Turkish. Trained on over 300 GB of Turkish text, SindBERT is available in base and large configurations, marking the f…

  4. RESEARCH · CL_58854 ·

    New Turkish Embedding Model Achieves 8K Context Window

    Researchers have developed embeddingmagibu-200m, a new Turkish-focused sentence embedding model that significantly enhances semantic search and related tasks. This model boasts a 768-dimensional vector output and an 8,1…

  5. TOOL · CL_66581 ·

    New Turkish embedding model achieves SOTA with efficient adaptation

    Researchers have developed a new Turkish-focused sentence embedding model called embeddingmagibu-200m, which significantly outperforms larger teacher models while requiring fewer computational resources. The model was c…

  6. RESEARCH · CL_48735 ·

    Model collapse explained by cultural evolution theory

    Researchers have reframed the phenomenon of model collapse, where large language models degrade when trained on their own outputs, as a cultural evolution process. By applying iterated learning theory, they derived and …

  7. TOOL · CL_42491 ·

    LLMs quantify syncretism's effect on language agreement errors

    Researchers have investigated how morphological syncretism influences agreement attraction errors in verbs across different languages. Using large language models to measure processing proxies like surprisal and attenti…

  8. TOOL · CL_03197 ·

    The macOS Natural Language framework and Nalaprop https:// web.brid.gy/r/https://eclectic light.co/2026/04/22/the-macos-natural-language-framework-and-nalaprop/

    The macOS Natural Language framework offers robust support for analyzing text in various languages, enabling applications to deploy custom machine learning models. While major Large Language Models are predominantly tra…