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ENTITY Persian

Persian

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

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SENTIMENT · 30D

3 day(s) with sentiment data

RECENT · PAGE 1/1 · 7 TOTAL
  1. TOOL · CL_108539 ·

    Fine-tuning OCR model for Persian language using dataset engineering and GPU tricks

    This article details the process of fine-tuning a vision-language OCR model to support the Persian language. It highlights the importance of dataset engineering and full fine-tuning techniques, along with practical GPU …

  2. RESEARCH · CL_106008 ·

    New ASR techniques tackle phonetic errors and judge reliability

    Researchers are developing advanced methods to improve Automatic Speech Recognition (ASR) systems, particularly for low-resource languages and to address specific types of errors. One approach, Error-Aware TF-IDF, uses …

  3. TOOL · CL_86848 ·

    LLMs struggle to translate proverbs into faithful narratives, study finds

    Researchers have introduced a new task called "constrained semantic decompression" to evaluate how well large language models (LLMs) can transform abstract proverbs into detailed narratives. Using a dataset of Persian p…

  4. TOOL · CL_53765 ·

    New ParsVoice Corpus Boosts Persian TTS Capabilities

    Researchers have introduced ParsVoice, a substantial new corpus of Persian speech and text data designed to advance text-to-speech (TTS) synthesis and other speech processing tasks for the Persian language. This dataset…

  5. TOOL · CL_51316 ·

    New dataset boosts Persian social media text classification

    Researchers have introduced PerSoMed, a new large-scale dataset designed for classifying Persian social media text. The dataset contains 36,000 posts across nine categories, with each category having 4,000 samples to en…

  6. TOOL · CL_44835 ·

    ASR systems benchmarked on code-switching speech

    A new benchmark study evaluated five commercial automatic speech recognition (ASR) systems on code-switching speech, specifically focusing on Arabic, Persian, and German mixed with English. The research introduced a nov…

  7. RESEARCH · CL_22407 ·

    Cross-language HTR models improve low-resource performance via sequence modeling

    Researchers have investigated how cross-language transfer learning improves Handwritten Text Recognition (HTR) for low-resource Arabic-script languages. Their studies indicate that sequence modeling, rather than just sh…