Bilingual Text Classification
نویسندگان
چکیده
منابع مشابه
Bilingual Word Embeddings from Parallel and Non-parallel Corpora for Cross-Language Text Classification
In many languages, sparse availability of resources causes numerous challenges for textual analysis tasks. Text classification is one of such standard tasks that is hindered due to limited availability of label information in lowresource languages. Transferring knowledge (i.e. label information) from high-resource to low-resource languages might improve text classification as compared to the ot...
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The sentiment classification performance relies on high-quality sentiment resources. However, these resources are imbalanced in different languages. Cross-language sentiment classification (CLSC) can leverage the rich resources in one language (source language) for sentiment classification in a resource-scarce language (target language). Bilingual embeddings could eliminate the semantic gap bet...
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Mixture modelling of class-conditional densities is a standard pattern classification technique. In text classification, the use of class-conditional multinomial mixtures can be seen as a generalisation of the Naive Bayes text classifier relaxing its (class-conditional feature) independence assumption. In this paper, we describe and compare several extensions of the class-conditional multinomia...
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Recent years have seen an exponential growth in the amount of multilingual text available on the web. This situation raises the need for novel applications for organizing and accessing multilingual content. Common examples of such applications include Multilingual Topic Tracking, Cross-Language Information retrieval systems etc. Most of these applications rely on the availability of multilingua...
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Cross-language Text Categorization is the task of assigning semantic classes to documents written in a target language (e.g. English) while the system is trained using labeled documents in a source language (e.g. Italian). In this work we present many solutions according to the availability of bilingual resources, and we show that it is possible to deal with the problem even when no such resour...
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In this paper we explore a new method for vocabulary enhancement in cross-language retrieval. The focus is on whether we can improve upon dictionary-based retrieval, machine translation of queries, or the use of a bilingual lexicon derived from parallel corpus alignment. All experiments are done with the NACSIS collection of Japanese scientific abstracts with titles and author-assigned keywords...
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تاریخ انتشار 2007