·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Amazon responds to data center backlash, says it no longer uses NDAs1h◆Capcom is preparing for a ‘future where we create games together with AI’3h◆OpenAI safety employee resigns, claiming the company’s ‘culture is broken’3h◆Splice CEO Kakul Srivastava thinks AI emails are killing conversations5h◆An OpenAI safety employee has quit and is sounding the alarm5h◆All the AI agents that can live in your text messages6h◆Sequential Capacity of Quantum Processes with Finite Memory16h◆Q-MINO: A Minimal-Norm Method for Quantization-Aware Training16h◆The Price of Correlated Tests: How Strict Should a Model Release Gate Be?16h◆Open Vocabulary Word Recognition From Transcribed Bangla Texts16h◆Geometry-Dependent Bounds for Online Non-Monotone DR-Submodular Maximization16h◆Scaling Collider Event Generation with Residual-Quantized Tokens16h◆TANGO: Treating Tokens as Operators16h◆Oblivious Learning and Collusive Pricing16h◆In-context Learning of Single-index Targets: Comparing Kernel and Feature Learners16h◆CF-JEPA: Improving Robustness of JEPA World Models via Controllability Factorization16h◆AF-Muon: An AdamW-Free Muon Optimizer for Tied-Embedding Models16h◆Graph Representation via Elements of Discrete Morse and Cobordism Theories16h◆Do Your Own Research: Learning to Forecast by Learning to Search16h◆SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning16h◆Amazon responds to data center backlash, says it no longer uses NDAs1h◆Capcom is preparing for a ‘future where we create games together with AI’3h◆OpenAI safety employee resigns, claiming the company’s ‘culture is broken’3h◆Splice CEO Kakul Srivastava thinks AI emails are killing conversations5h◆An OpenAI safety employee has quit and is sounding the alarm5h◆All the AI agents that can live in your text messages6h◆Sequential Capacity of Quantum Processes with Finite Memory16h◆Q-MINO: A Minimal-Norm Method for Quantization-Aware Training16h◆The Price of Correlated Tests: How Strict Should a Model Release Gate Be?16h◆Open Vocabulary Word Recognition From Transcribed Bangla Texts16h◆Geometry-Dependent Bounds for Online Non-Monotone DR-Submodular Maximization16h◆Scaling Collider Event Generation with Residual-Quantized Tokens16h◆TANGO: Treating Tokens as Operators16h◆Oblivious Learning and Collusive Pricing16h◆In-context Learning of Single-index Targets: Comparing Kernel and Feature Learners16h◆CF-JEPA: Improving Robustness of JEPA World Models via Controllability Factorization16h◆AF-Muon: An AdamW-Free Muon Optimizer for Tied-Embedding Models16h◆Graph Representation via Elements of Discrete Morse and Cobordism Theories16h◆Do Your Own Research: Learning to Forecast by Learning to Search16h◆SIEVE: Selective attention-value Suppression for Vision-Language Models Unlearning16h◆
News/Open Vocabulary Word Recognition From Transcribed Bangla Texts
arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral

Open Vocabulary Word Recognition From Transcribed Bangla Texts

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2610.01134v1 Announce Type: cross Abstract: An optical character recognition (OCR) can scan a paper and extract text using technology, making people's jobs easier. While various OCR systems are available in the software industry, finding a reliable equivalent solution for Bangla takes much wor

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivSequential Capacity of Quantum Processes with Finite Memory16harxivQ-MINO: A Minimal-Norm Method for Quantization-Aware Training16harxivThe Price of Correlated Tests: How Strict Should a Model Release Gate Be?16harxivGeometry-Dependent Bounds for Online Non-Monotone DR-Submodular Maximization16h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
Built by Marouane Gazouzi
HomeModelsNews