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Cross-lingual text classification with model translation and document translation
2012
Proceedings of the 50th Annual Southeast Regional Conference on - ACM-SE '12
Most enterprise search engines employ data mining classifiers to classify documents. Along with the economic globalization, many companies are starting to have overseas branches or divisions. Those branches are using local languages in documents and emails. When a classifier tries to categorize those documents in another language, the trained model in mono-lingual will not work. The most direct solution would be to translate those documents in other languages into one language by the machine
doi:10.1145/2184512.2184530
dblp:conf/ACMse/MohZ12
fatcat:fx7qigosrzg4rdadtzre4p4azq