Issues in parsing and POS tagging of hybrid language

Atrey, Shree Harsh; Prasad, T. V.; Krishna, G. Rama

doi:10.1109/cyberneticscom.2012.6381609

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…are working on MT; they have developed various MT systems for Indian languages like Anusaaraka systems, Mantra systems, Anglabharti, etc. [8] [18] At present, there are no tools other than HiPHET available for translating HL (Hinglish) into pure languages (PLs) (Hindi and English) simultaneously.…”

Section: Tablementioning

confidence: 99%

“…This research tool focuses on two-way solutions: code-mixed into pure monolingual translations, and a pure MLL into another pure MLL. The steps of the translation related to HL's [8] Table 3. (e) Addition of gender-specific postpositions between two nouns/pronouns; e.g, rAma kA pen → rAma kI kalam Figure 1.…”

Section: Issues In Research Workmentioning

confidence: 99%

“…The tool is based on the hybrid parsing techniques presented in [8] and enhanced in this paper as depicted in Figure 2. The following steps of algorithm [8] [9] [10] demonstrate the working of the tool: Figure 2. Structure of generalized bilingual translation tool…”

Section: Issues In Research Workmentioning

confidence: 99%

See 2 more Smart Citations

HiPHET: A Hybrid Approach to Translate Code Mixed Language (Hinglish) to Pure Languages (Hindi and English)

Attri¹,

Prasad

Ramakrishna

2020

csci

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Bilingual code mixed (hybrid) languages has become very popular in India as a result of the spread of Western technology in the form of the television, the Internet and social media. Due to this increase in usage of code-mixed languages in day-to-day communication, the need for maintaining the integrity of Indian languages has arisen. As a result of this need the tool named Hinglish to Pure Hindi and English Translator was developed. The tool translated in three ways, namely, Hinglish to Pure Hindi and Pure English, Pure Hindi to Pure English and vice versa. The tool has achieved accuracy of 91% in giving Hindi sentences as output and of 84% in giving English sentences as output, where the input sentences were in Hinglish. The tool has also been compared with another similar tool in the paper.

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Section: Tablementioning

confidence: 99%

Section: Issues In Research Workmentioning

confidence: 99%