Syntax based machine translation using blended methodology

Singh, Shashi Pal; Kumar, Ajai; Sahu, Pragya; Verma, Preeti

doi:10.1109/ngct.2016.7877422

Cited by 1 publication

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We provide a comparative analysis of parsing the very simple English sentence "I eat a red apple" and its Sinhala, Hindi, and French translations in Fig 2 . English and French parsing was done using the Stanford Parser 6 . Hindi parsing was done using the IIIT-Hyderabad Parser 7 and the study by Singh et al [47].…”

Section: Properties Of the Sinhala Languagementioning

confidence: 99%

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Silva¹

2019

Preprint

View full text Add to dashboard Cite

Sinhala is the native language of the Sinhalese people who make up the largest ethnic group of Sri Lanka. The language belongs to the globe-spanning language tree, Indo-European. However, due to poverty in both linguistic and economic capital, Sinhala, in the perspective of Natural Language Processing tools and research, remains a resource-poor language which has neither the economic drive its cousin English has nor the sheer push of the law of numbers a language such as Chinese has. A number of research groups from Sri Lanka have noticed this dearth and the resultant dire need for proper tools and research for Sinhala natural language processing. However, due to various reasons, these attempts seem to lack coordination and awareness of each other. The objective of this paper is to fill that gap of a comprehensive literature survey of the publicly available Sinhala natural language tools and research so that the researchers working in this field can better utilize contributions of their peers. As such, we shall be uploading this paper to arXiv and perpetually update it periodically to reflect the advances made in the field.

show abstract

Section: Properties Of the Sinhala Languagementioning

confidence: 99%

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Silva¹

2019

Preprint

View full text Add to dashboard Cite

show abstract

Syntax based machine translation using blended methodology

Cited by 1 publication

References 8 publications

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

Contact Info

Product

Resources

About