<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "A statistical dictionary-based word alignment algorithm: An unsupervised approach"^^ . "Malay is categorized as a resource-poor language. Thus, there is limited research on corpus linguistics for Malay. This paper discusses an automated process of applying part-of-speech (POS) tags to Malay words. Conventional tagging works well on static grammatical classes with little ambiguities, as performed in most research on resource-rich languages. However, the grammatical classes of Malay are dynamic, where adjectives can be verbs or adverbs and vice versa. This makes automatic POS tagging of Malay a chaotic and challenging process. There is no labelled data publicly available for Malay while hand-crafted corpora are labour-intensive and time-consuming. Hence, this paper introduces an unsupervised technique to tag Malay terrorism texts as a case study. This is a solution to partially overcome the shortage of annotated resources for Malay and the labour-intensity of a hand-tagged corpus. This approach does not require any labelled training data but involves translation of texts into a resource-rich language, i.e. English, and a dictionary look-up. After comparing the results with human annotators, it is found that the unsupervised technique reaches 76 precision and a 67 recall rate. © 2012 IEEE."^^ . "2012" . . "1" . . "2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings"^^ . . . . . . . . . . . . . . . . . "Z."^^ . "Abu Bakar"^^ . "Z. Abu Bakar"^^ . . "A."^^ . "Oxley"^^ . "A. Oxley"^^ . . "S.A."^^ . "Farhan"^^ . "S.A. Farhan"^^ . . "N."^^ . "Zamin"^^ . "N. Zamin"^^ . . . . . "HTML Summary of #2781 \n\nA statistical dictionary-based word alignment algorithm: An unsupervised approach\n\n" . "text/html" . .