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- W2912245977 abstract "In this paper, we present a crowd-source based Bangla to English parallel corpus and evaluate its accuracy. A complete and informative corpus is necessary for any language for its development through automated process. A Bangla to English parallel corpus has importance in various multi-lingual applications and NLP research works. But there is still scarcity of a complete Bangla to English parallel corpus. In this paper we propose a large scale crowd-source method of construction of a Bangla to English parallel corpus through crowd-sourcing. We chose crowd-sourcing method to venture a new approach in corpus construction and evaluate human behavior pattern in doing so. The translations were collected form under graduate students of university to ensure strong language knowledge. A Bangla to English parallel corpus will help in comparing linguistic features of these languages. In this paper we present an initial dataset prepared via crowd-sourcing which will serve as a baseline for further analysis of crowd source based corpus. Our primary dataset is consists of 517 Bangla sentences and for every Bangla sentence, we collected 4 English sentences on an average and 2143 English sentences in total via crowd-sourcing. This data was collected over a period of 2 months and from 62 users. Finally we analyze the dataset and give some conclusive idea about further research." @default.
- W2912245977 created "2019-02-21" @default.
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- W2912245977 date "2018-12-01" @default.
- W2912245977 modified "2023-10-17" @default.
- W2912245977 title "A Crowd-Source Based Corpus on Bangla to English Translation" @default.
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- W2912245977 doi "https://doi.org/10.1109/iccitechn.2018.8631947" @default.
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