Abstract
Named entity translation is indispensable in cross language information retrieval nowadays. We propose an approach of combining lexical information, web statistics, and inverse search based on Google to backward translate a Chinese named entity (NE) into English. Our system achieves a high Top-1 accuracy of 87.6%, which is a relatively good performance reported in this area until present.
Cite
CITATION STYLE
Chen, C., & Chen, H. H. (2006). A high-accurate Chinese-English NE backward translation system combining both lexical information and web statistics. In COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Main Conference Poster Sessions (pp. 81–88). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1273073.1273084
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