Sinhala
PulseAugur coverage of Sinhala — every cluster mentioning Sinhala across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI token costs vary widely by language, study finds
An analysis of token costs across 40 languages revealed that the same text can incur significantly different expenses depending on the language. The study found that languages with more complex character sets or differe…
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PLMs show promise for low-resource language spell correction
Researchers have conducted an empirical study comparing three types of pre-trained language models (PLMs) for spell correction, particularly focusing on low-resource languages. The study found that even smaller PLMs lik…
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New framework detects hallucinations in Sinhala-to-English machine translation
Researchers have developed a novel framework to detect pathological hallucinations in Sinhala-to-English neural machine translation. This system utilizes a synthetic dataset of 45,000 samples, created using five corrupt…
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Sinhala language semantic change analyzed with Llama-3.1-8B
Researchers have developed a computational framework to analyze the diachronic semantic change in the Sinhala language, spanning from the 13th to the 20th century. The study utilized both static embeddings (Word2Vec, Fa…
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SinLlama model enhances Llama 3-8B for Sinhala language tasks
Researchers have developed SinLlama, a new open-source large language model specifically designed for the Sinhala language. By enhancing the Llama-3-8B model with Sinhala vocabulary and training it on a substantial Sinh…
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New HelaBERT models boost Sinhala language understanding
Researchers have developed HelaBERT, a new family of BERT-based language models specifically designed to enhance understanding of the Sinhala language. These models, HelaBERT-Small and HelaBERT-Large, were pre-trained o…
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New framework enables trilingual topic modeling of Sri Lankan parliamentary debates
Researchers have developed a novel framework to perform topic modeling on trilingual parliamentary debates from Sri Lanka, encompassing Sinhala, Tamil, and English. This system overcomes challenges posed by complex PDF …
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Sinhala-Tamil CLIR research favors embedding models over translation
A new research paper evaluates cross-lingual information retrieval (CLIR) methods for accessing English government information using Sinhala and Tamil queries. The study compared query translation techniques, including …
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New Python library grapheme-kit improves multilingual NLP metrics
A new open-source Python library called grapheme-kit has been developed to address limitations in existing text processing metrics. These metrics, which typically operate on Unicode code points, can inaccurately represe…
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New LKValues resource aligns LLMs with Sri Lankan societal values
Researchers have developed LKValues, a new resource suite designed to align large language models (LLMs) with the specific societal values of Sri Lanka. Existing benchmarks often reflect Western norms, failing to captur…
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New Sinhala dataset launched for Aspect-Based Sentiment Analysis
Researchers have introduced SalAngaBhava, a new dataset designed for Aspect-Based Sentiment Analysis (ABSA) in Sinhala, a low-resource language spoken primarily in Sri Lanka. This dataset comprises Sinhala product revie…
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Cross-lingual transfer learning shows mixed results for low-resource ASR
Researchers have explored cross-lingual transfer learning to improve automatic speech recognition (ASR) for low-resource languages. One study successfully used Sinhala to enhance Dhivehi ASR, achieving a 12.89% Word Err…
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New Sinhala OCR Dataset and Model Achieve State-of-the-Art Performance
Researchers have developed a new dataset, sinhala-ocr-lk-acts-1010, to improve Optical Character Recognition (OCR) for the Sinhala language, which is spoken by approximately 16 million people in Sri Lanka. This dataset …
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New Sinhala OCR Dataset and LightOnOCR-2-1B Achieve State-of-the-Art Performance
Researchers have developed a new dataset, sinhala-ocr-lk-acts-1010, to improve Optical Character Recognition (OCR) for Sinhala, a language spoken by approximately 16 million people. This dataset comprises 1,010 page-lev…
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Sinhala NLP research hub releases transliteration systems and data resources
A new paper introduces the Swa-bhasha Resource Hub, a collection of data and algorithms for Romanized Sinhala to Sinhala transliteration developed between 2020 and 2025. These resources are crucial for advancing Sinhala…