Lexical Ambiguity Structural Ambiguity

population have equal and independent chances of being included in the research. However, not all the members of the population will be chosen to be the sample of the research. In this research, the writer randomly selected six fan-fiction authors who live in Indonesia and do not study the English language specifically before selecting their fan-fictions to be the objects of this study. In the end, there were 27 fan-fictions to be analyzed in this study.

3.2 Instruments and Data Gathering Technique

The instrument employed in this study was table notes of structural ambiguity which was found in the fan-fictions. The writer made brief notes during the data gathering, listing each ambiguous phrase found while reading the fan- selected fictions. The table notes consisted of four columns. The first column was for numbering. The second column would be for the title of the fan-fictions, including the authors’ name and the posting date. The third column was for the sentences found containing structural ambiguitiy and the last column was provided for the ambiguity itself. The table notes are presented in the table 3.1 below: Table 3.1 Table Notes of Ambiguity Found in the Fan-fictions No. TitleAuthorPosting Date Sentences Found Ambiguity 1. Change Over by Kei Kyuuketsuki posted on 30 September, 2011 I had it all. Even the glass dishes with the tiny bubbles and imperfections, proof that they were crafted by the honest and simple hard working and diligent people of… wherever. the tiny bubbles and imperfections 2. Etc… To gather the data, in the uneven semester of academic year 20122013, the writer selected 27 fan-fictions randomly from six Indonesian authors from Live Journal. The chosen fan-fictions were both one-shot and multi-chaptered ones from various genres. After having the fan-fictions collected, the writer then read the fan-fictions to find the structural ambiguity occurring in the fan-fictions before listing the structural ambiguity in the table notes which presented the data that later would be analyzed.

3.3 Data Analysis Technique

For the analysis, the writer used the data obtained from the previous table notes. Answering the first research question, the writer would have all the data listed in the table notes. The writer then calculated the result of the structural ambiguities found in the fan-fiction based on which type of phrase the ambiguities which occurred. The formula below will show how the data were calculated based on Bungin’s formula as cited by Tambunan 2009, p. 19 in her thesis: = f n x 100 where: N = Percentage of the ambiguity category f = Individual frequency of ambiguity category n = Total number of all data Having all the results of the percentage of the structural ambiguity, the writer then sorted the data based on the most likely occurring ambiguous phrase. Schlenker 2006, p. 8 states that a sentence or phrase which corresponds to two distinct syntactic tree diagrams is structurally ambiguous. Since the data are structural ambiguities which are caused by equivocal phrasing or amphibology, to answer the second problem of the research, the writer first drew two tree diagrams of each ambiguity to explain why the phrase was considered ambiguous. Therefore, in order to know whether the phrases found were structurally ambiguous or not the writer had to check the phrases using the simple syntactic tree diagram or flat structure by O’Grady, Dobrovolsky and Katamba 1997, p. 185. The writer did not use the X-bar theory since the writer is not very familiar with the theory. Moreover, the purpose of drawing syntactic tree in this study is only to see the ambiguity aspect found in the phrases. So, it does not really matter to use the flat structure instead of the X-bar theory. Using a computer program called Syntax Tree Editor; the writer generated each tree diagram from each meaning derived from the ambiguous phrase. Among the other similar programs, Syntax Tree Editor is the easy-operating-program to draw the tree diagram, even though there will be a repetition of drawing the same syntactic category symbol, so, in the end, the writer had to edit the tree diagram manually. As an example, the phrase ‘old men and women’ is structurally ambiguous because there are two different meanings derived from two different tree diagrams from this phrase. The figure 3.1 and 3.2 below shows whether this sentence is structurally ambiguous or not.