paper-with-me

Papers

Swa Bhasha: Message-Based Singlish to Sinhala Transliteration

2024-04-20 · Maneesha U. Athukorala, Deshan K. Sumanathilaka

Machine Transliteration provides the ability to transliterate a basic language into different languages in a computational way. Transliteration is an important technical process that has caught the attention most recently. The Sinhala transliteration has many constraints because of the insufficiency of resources in the Sinhala language. Due to these limitations, Sinhala Transliteration is highly complex and time-consuming. Therefore, the majority of the Sri Lankans uses non-formal texting language named 'Singlish' to make that process simple. This study has focused on the transliteration of the Singlish language at the word level by reducing the complication in the transliteration. A new approach of coding system has invented with the rule-based approach that can map the matching Sinhala words even without the vowels. Various typing patterns were collected by different communities for this. The collected data have analyzed with every Sinhala character and unique Singlish patterns related to them were generated. The system has introduced a newly initiated numeric coding system to use with the Singlish letters by matching with the recognized typing patterns. For the mapping process, fuzzy logic-based implementation has used. A codified dictionary has also implemented including unique numeric values. In this system, Each Romanized English letter was assigned with a unique numeric code that can construct a unique pattern for each word. The system can identify the most relevant Sinhala word that matches with the pattern of the Singlish word or it gives the most related word suggestions. For example, the word 'kiyanna,kianna, kynna, kynn, kiynna' have mapped with the accurate Sinhala word "kiyanna". These results revealed that the 'Swa Bhasha' transliteration system has the ability to enhance the Sinhala users' experience while conducting the texting in Singlish to Sinhala.

📄 PDF Abstract BibTeX arXiv:2404.13350

Code (0)

등록된 구현이 없습니다.

Tasks

Transliteration

Similar Papers 제목 키워드 기반

Swa-bhasha Resource Hub: Romanized Sinhala to Sinhala Transliteration Systems and Data Resources

2025-07-12 · Deshan Sumanathilaka, Sameera Perera, Sachithya Dharmasiri, Maneesha Athukorala 외 arxiv

The Swa-bhasha Resource Hub provides a comprehensive collection of data resources and algorithms developed for Romanized Sinhala to Sinhala transliteration between 2020 and 2025. These resources have played a significant…

Sinhala Transliteration: A Comparative Analysis Between Rule-based and Seq2Seq Approaches

2024-12-31 · Yomal De Mel, Kasun Wickramasinghe, Nisansa de Silva, Surangika Ranathunga

Due to reasons of convenience and lack of tech literacy, transliteration (i.e., Romanizing native scripts instead of using localization tools) is eminently prevalent in the context of low-resource languages such as Sinha…

DecoderMachine TranslationNMTTransliteration

Enhancing Multilingual Sentiment Analysis with Explainability for Sinhala, English, and Code-Mixed Content

2025-04-18 · Azmarah Rizvi, Navojith Thamindu, A. M. N. H. Adhikari, W. P. U. Senevirathna 외

Sentiment analysis is crucial for brand reputation management in the banking sector, where customer feedback spans English, Sinhala, Singlish, and code-mixed text. Existing models struggle with low-resource languages lik…

Aspect-Based Sentiment AnalysisSentiment Analysis

Linguistic Analysis of Sinhala YouTube Comments on Sinhala Music Videos: A Dataset Study

2025-01-28 · W. M. Yomal De Mel, Nisansa de Silva

This research investigates the area of Music Information Retrieval (MIR) and Music Emotion Recognition (MER) in relation to Sinhala songs, an underexplored field in music studies. The purpose of this study is to analyze …

Emotion RecognitionInformation RetrievalMusic Emotion RecognitionMusic Information Retrieval+1

IndoNLP 2025: Shared Task on Real-Time Reverse Transliteration for Romanized Indo-Aryan languages

2025-01-10 · Deshan Sumanathilaka, Isuri Anuradha, Ruvan Weerasinghe, Nicholas Micallef 외

The paper overviews the shared task on Real-Time Reverse Transliteration for Romanized Indo-Aryan languages. It focuses on the reverse transliteration of low-resourced languages in the Indo-Aryan family to their native s…

Transliteration