Multi-lingual Geoparsing based on Machine Translation

November 06, 2015 ยท Declared Dead ยท ๐Ÿ› Future generations computer systems

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Authors Xu Chen, Han Zhang, Judith Gelernter arXiv ID 1511.01974 Category cs.CL: Computation & Language Cross-listed cs.IR Citations 4 Venue Future generations computer systems Last Checked 5 months ago
Abstract
Our method for multi-lingual geoparsing uses monolingual tools and resources along with machine translation and alignment to return location words in many languages. Not only does our method save the time and cost of developing geoparsers for each language separately, but also it allows the possibility of a wide range of language capabilities within a single interface. We evaluated our method in our LanguageBridge prototype on location named entities using newswire, broadcast news and telephone conversations in English, Arabic and Chinese data from the Linguistic Data Consortium (LDC). Our results for geoparsing Chinese and Arabic text using our multi-lingual geoparsing method are comparable to our results for geoparsing English text with our English tools. Furthermore, experiments using our machine translation approach results in accuracy comparable to results from the same data that was translated manually.
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