LITERATURE REVIEW DEVELOPING MALAY PART-OF-SPEECH TAGGING AND ITS COMPATABILITY WITH HIDDEN MARKOV make water (HMM). References: [1] Kroeger, P. (2005). Analyzing Grammar: An Introduction. Cambridge: Cambridge University Press [2] Brill, E.(1995). Transformation-Based Error-Driven Learning and cancel Language Processing: A lineament Study in Part-of-Speech Tagging. In Computational Linguistics, Vol. 21, Nr. 4 . [3] Xiao, C. and Chunyu, K. (2011). amend Part-of-speech Tagging for Context-free Parsing. In Proceedings, Fifth International Joingt Conference on Natural Language Processings, Chiang Mai, Thailand. [4] Mohamed, H., Omar, N., and Ab Aziz, M. J.(2011).Statistical Malay Part-of-Speech (POS) Tagger utilise inscrutable Markov Apporach,In International Conference on Semantic engineering and education Retrieval, Putrajaya, Malaysia. [5] http://en.wikipedia.org/wiki/Part-of-speech_tagging Since the earliest moments in the history of linguistics, develop ment of part-of-speech tagging (POS-tagging) has started to net words according to its own lexical class or a lexical category.

Generally, it is defined by the syntactic or the morphological trait of the lexical item in question, and roughly all languages in this world have their own lexical categories of verb and nouns though there are still significant variations in different languages.[1] There are a few POS-tagging algorithms which comprises of ii distinctive group: rule-based and stochastic.[5] Besides, part-of-speech is a very practical application, which has been use up in many fields including speech recognition and generation, gumshoe transl! ation, information retrieval, lexicography and parsing, so many researches have been proposed by a numerous number of researchers to tackle the complex linguistics mystery story involving part-of-speech application. Perhaps, there are many approaches have been developed to convert the linguistics information as a method of providing a natural language...If you want to get a full essay, mastermind it on our website:
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