Mining Tibetan-Chinese Bilingual Entities from Wikipedia
Authors | Tao Jiang Hongzhi Yu Xiangzhen He Xianghe Meng |
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Publication date | 2017 |
DOI | 10.1109/ialp.2017.8300534 |
Links | Original |
Mining Tibetan-Chinese Bilingual Entities from Wikipedia - scientific work related to Wikipedia quality published in 2017, written by Tao Jiang, Hongzhi Yu, Xiangzhen He and Xianghe Meng.
Overview
Entity translation pairs play an important role in NLP applications, such as cross language information retrieval and machine translation. The named entity and domain entity are key factors that affect the performance of the system. However, the entity translations can hardly be found in the present bilingual dictionary or parallel corpus. There are lots of Tibetan new neologisms and named entities in Tibetan Wikipedia, and this paper proposes a new method to automatically mining method of Tibetan and Chinese bilingual entity translation from Wikipedia based on the language interlink and page feature. Authors construct an extract pattern of Tibetan and Chinese entity translation pairs gained from the previous work, and adopt multi-feature candidate translation pairs to distinguish the selection model. The results verify that the entity translation mining method can achieve high accuracy.
Embed
Wikipedia Quality
Jiang, Tao; Yu, Hongzhi; He, Xiangzhen; Meng, Xianghe. (2017). "[[Mining Tibetan-Chinese Bilingual Entities from Wikipedia]]".DOI: 10.1109/ialp.2017.8300534.
English Wikipedia
{{cite journal |last1=Jiang |first1=Tao |last2=Yu |first2=Hongzhi |last3=He |first3=Xiangzhen |last4=Meng |first4=Xianghe |title=Mining Tibetan-Chinese Bilingual Entities from Wikipedia |date=2017 |doi=10.1109/ialp.2017.8300534 |url=https://wikipediaquality.com/wiki/Mining_Tibetan-Chinese_Bilingual_Entities_from_Wikipedia}}
HTML
Jiang, Tao; Yu, Hongzhi; He, Xiangzhen; Meng, Xianghe. (2017). "<a href="https://wikipediaquality.com/wiki/Mining_Tibetan-Chinese_Bilingual_Entities_from_Wikipedia">Mining Tibetan-Chinese Bilingual Entities from Wikipedia</a>".DOI: 10.1109/ialp.2017.8300534.