@inproceedings{kolar-kumar-2023-chatgpt,
title = "{C}hat{GPT}{\_}{P}owered{\_}{T}ourist{\_}{A}id{\_}{A}pplications{\_}{\_}{P}roficient{\_}in{\_}{H}indi{\_}{\_}{Y}et{\_}{T}o{\_}{M}aster{\_}{T}elugu{\_}and{\_}{K}annada",
author = "Kolar, Sanjana and
Kumar, Rohit",
editor = "Chakravarthi, Bharathi R. and
Priyadharshini, Ruba and
M, Anand Kumar and
Thavareesan, Sajeetha and
Sherly, Elizabeth",
booktitle = "Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages",
month = sep,
year = "2023",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd., Shoumen, Bulgaria",
url = "https://aclanthology.org/2023.dravidianlangtech-1.13",
pages = "97--107",
abstract = "This research investigates the effectiveness of Chat- GPT, an AI language model by OpenAI, in translating English into Hindi, Telugu, and Kannada languages, aimed at assisting tourists in India{'}s linguistically diverse environment. To measure the translation quality, a test set of 50 questions from diverse fields such as general knowledge, food, and travel was used. These were assessed by five volunteers for accuracy and fluency, and the scores were subsequently converted into a BLEU score. The BLEU score evaluates the closeness of a machine-generated translation to a human translation, with a higher score indicating better translation quality. The Hindi translations outperformed others, showcasing superior accuracy and fluency, whereas Telugu translations lagged behind. Human evaluators rated both the accuracy and fluency of translations, offering a comprehensive perspective on the language model{'}s performance.",
}
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<abstract>This research investigates the effectiveness of Chat- GPT, an AI language model by OpenAI, in translating English into Hindi, Telugu, and Kannada languages, aimed at assisting tourists in India’s linguistically diverse environment. To measure the translation quality, a test set of 50 questions from diverse fields such as general knowledge, food, and travel was used. These were assessed by five volunteers for accuracy and fluency, and the scores were subsequently converted into a BLEU score. The BLEU score evaluates the closeness of a machine-generated translation to a human translation, with a higher score indicating better translation quality. The Hindi translations outperformed others, showcasing superior accuracy and fluency, whereas Telugu translations lagged behind. Human evaluators rated both the accuracy and fluency of translations, offering a comprehensive perspective on the language model’s performance.</abstract>
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%0 Conference Proceedings
%T ChatGPT_Powered_Tourist_Aid_Applications__Proficient_in_Hindi__Yet_To_Master_Telugu_and_Kannada
%A Kolar, Sanjana
%A Kumar, Rohit
%Y Chakravarthi, Bharathi R.
%Y Priyadharshini, Ruba
%Y M, Anand Kumar
%Y Thavareesan, Sajeetha
%Y Sherly, Elizabeth
%S Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F kolar-kumar-2023-chatgpt
%X This research investigates the effectiveness of Chat- GPT, an AI language model by OpenAI, in translating English into Hindi, Telugu, and Kannada languages, aimed at assisting tourists in India’s linguistically diverse environment. To measure the translation quality, a test set of 50 questions from diverse fields such as general knowledge, food, and travel was used. These were assessed by five volunteers for accuracy and fluency, and the scores were subsequently converted into a BLEU score. The BLEU score evaluates the closeness of a machine-generated translation to a human translation, with a higher score indicating better translation quality. The Hindi translations outperformed others, showcasing superior accuracy and fluency, whereas Telugu translations lagged behind. Human evaluators rated both the accuracy and fluency of translations, offering a comprehensive perspective on the language model’s performance.
%U https://aclanthology.org/2023.dravidianlangtech-1.13
%P 97-107
Markdown (Informal)
[ChatGPT_Powered_Tourist_Aid_Applications__Proficient_in_Hindi__Yet_To_Master_Telugu_and_Kannada](https://aclanthology.org/2023.dravidianlangtech-1.13) (Kolar & Kumar, DravidianLangTech-WS 2023)
ACL