Syntactic Phrase Chunking for Indonesian Language

This paper describes how to find phrases related to syntactic category using the chunking method. Phrases syntactic category which is formed associated with prosodic phrases, in order to make this syntax category can be used for prosody generation of Text to Speech System (TTS) systems. Chunking method requires a grammar rule and post tagger. Set of grammar rule is built in a regular expression to classify the words forming phrases using category of the syntax of a sentence based on Part of Speech (POS) information. Hidden Markov Model (HMM) based POS tagger for Indonesian language [10] is used to tagging POS for each word in the sentence. Tests performed on a single set of sentences and compound sentences. Single sentence comprising 31 sentences with the average number of words per sentence was 4.74 words, compound sentences comprising80 sentences with the average number of words per sentence 15.74 words.The measurement results obtained testing precision and recall values for single sentences are 88.75 and 78.89 with the F value is 83.53. As for the complex sentence obtained assessed precision and recall was 80.57 and 84.72 with F valueis 82.60.