Retracted: Singlish Sentiment Analysis Based Rating For Public Transportation

Sharounthan, B.; Nawinna, Dasuni; Silva, Rajitha de

doi:10.1109/iccci50826.2021.9402548

2021 International Conference on Computer Communication and Informatics (ICCCI) 2021

DOI: 10.1109/iccci50826.2021.9402548

|View full text |Cite|

Retracted: Singlish Sentiment Analysis Based Rating For Public Transportation

B. Sharounthan

Dasuni Nawinna

Rajitha de Silva

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Swa-Bhasha Dataset: Romanized Sinhala to Sinhala Adhoc Transliteration Corpus

Sumanathilaka,

Micallef,

Weerasinghe

2024

2024 4th International Conference on Advanced Research in Computing (ICARC)

View full text Add to dashboard Cite

In the context of a changing society and rapid technological advancements, the prevalence of social media platforms and instant messaging services has significantly strengthened the usage of native languages. In Sri Lanka, Sinhala and Romanized Sinhala have emerged as popular typing languages, owing to the widespread use of informal shorthand-based typing and internet acronyms for quicker communication. However, due to the limited availability of resources, linguistic support for these languages is limited, making them low-resource languages. To address this resource deficit, this study proposes the development of a rule-based transliteration tool that can annotate Sinhala words into Romanized Sinhala, accommodating the diverse ad hoc typing patterns used by the community. The research approach involved a comprehensive survey employing a stratified sampling method, considering variables such as age, gender, and language proficiency. 215 participants were presented with an online survey comprising 12 Sinhala sentences to capture various transliteration patterns related to Sinhala characters which are necessary for the annotation process. Analysis of the survey responses led to the formulation of 92 general rules and 26 special rules, encapsulating ad-hoc Romanized Sinhala typing patterns. Using these rules, Sinhala dictionaries were annotated, building a large corpus of data which consists of Sinhala and its Romanized Sinhala patterns. The annotated dataset was validated using a back transliteration tool, achieving an 84%-word accuracy rate. This innovative transliteration annotator can be used to mitigate the resource constraints associated with Sinhala to Romanized Sinhala transliteration. GitHub link: https://github.com

show abstract

Swa-Bhasha Dataset: Romanized Sinhala to Sinhala Adhoc Transliteration Corpus

Sumanathilaka,

Micallef,

Weerasinghe

2024

2024 4th International Conference on Advanced Research in Computing (ICARC)

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Retracted: Singlish Sentiment Analysis Based Rating For Public Transportation

Cited by 1 publication

References 6 publications

Swa-Bhasha Dataset: Romanized Sinhala to Sinhala Adhoc Transliteration Corpus

Swa-Bhasha Dataset: Romanized Sinhala to Sinhala Adhoc Transliteration Corpus

Contact Info

Product

Resources

About