TY  - CONF
VL  - 1
N2  - 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.
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867918947&doi=10.1109%2fICCISci.2012.6297278&partnerID=40&md5=279c0ce91b9138812b30197910d1567d
CY  - Kuala Lumpur
A1  - Zamin, N.
A1  - Oxley, A.
A1  - Abu Bakar, Z.
A1  - Farhan, S.A.
EP  - 402
Y1  - 2012///
SN  - 9781467319386
TI  - A statistical dictionary-based word alignment algorithm: An unsupervised approach
ID  - scholars2781
SP  - 396
KW  - Automated process; bigram; Corpus linguistics; Dice coefficient; Labour-intensive; malay language; Part of speech tagging; Part-of-speech tags; PoS tagging; Recall rate; Resource-Rich; Training data; Unsupervised approaches; Word alignment
KW  -  Automation; Information science; Natural language processing systems; Technology
KW  -  Research
N1  - cited By 9; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334
ER  -