ENGLISH-INDONESIAN TRANSLATION METHOD AND QUALITY OF INTERROGATIVE SENTENCE IN THE “HARVEST MOON: BACK TO NATURE” VIDEO GAME

This research focuses on translation method and the impact of translation method toward translation quality of interrogative sentence in the Harvest Moon: Back to Nature video game. Descriptive qualitative method is applied in this research. The data are the interrogative sentences found in the Harvest Moon: Back to Nature video game and its translation. The source data are the video game entitled Harvest Moon: Back to Nature developed by Victor Interactive Software, published by Natsume and its translation by PALAPA. The results of the research show that there are 4 methods applied to the translation namely Communicative Translation, Literal Translation, Free Translation, and Word-for-Word Translation. From 71 data of interrogative sentence in Harvest Moon: Back to Nature video game, the dominant translation method used is Communicative Translation with 36 data (50.7%). For the translation quality. From 71 data, 53 data categorized as accurate translation (74.6%), 60 data categorized as acceptable translation (84.5%), and 68 data categorized as readable translation (95.8%). The translation methods applied in translating interrogative in the video game can produce good quality translation

Search for radio pulsations in LS I +61 303

Context. LS I +61 303 is a member of the select group of gamma-ray binaries: galactic binary systems that contain a massive star and a compact object, show a changing milliarcsecond morphology and a similar broad spectral energy distribution (SED) that peaks at MeV-TeV energies and is modulated by the orbital motion. The nature of the compact object is unclear in LS I +61 303, LS 5039 and HESS J0632+057, whereas PSR B1259-63 harbours a 47.74 ms radio pulsar. Aims. A scenario in which a young pulsar wind interacts with the stellar wind has been proposed to explain the very high energy (VHE, E > 100 GeV) gamma-ray emission detected from LS I +61 303, although no pulses have been reported from this system at any wavelength. We aim to find evidence of the pulsar nature of the compact object. Methods. We performed phased array observations with the Giant Metrewave Radio Telescope (GMRT) at 1280 MHz centred at phase 0.54. Simultaneous data from the multi-bit phased array (PA) back-end with a sampling time of tsamp = 128 microsec and from the polarimeter (PMT) back-end with tsamp = 256 microsec where taken. Results. No pulses have been found in the data set, with a minimum detectable mean flux density of \sim 0.38 mJy at 8-sigma level for the pulsed emission from a putative pulsar with period P >2 ms and duty cycle D = 10% in the direction of LS I +61 303. Conclusions. The detection of posible radio pulsations will require deep and sensitive observations at frequencies \sim0.5-5 GHz and orbital phases 0.6-0.7. However, it may be unfeasible to detect pulses if the putative pulsar is not beamed at the Earth or if there is a strong absorption within the binary system.Comment: 8 pages. 5 figures. Accepted for publication in Astronomy and Astrophysic

Similarity-Based Models of Word Cooccurrence Probabilities

In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may need to determine which of the two word combinations ``eat a peach'' and ``eat a beach'' is more likely. Statistical NLP methods determine the likelihood of a word combination from its frequency in a training corpus. However, the nature of language is such that many word combinations are infrequent and do not occur in any given corpus. In this work we propose a method for estimating the probability of such previously unseen word combinations using available information on ``most similar'' words. We describe probabilistic word association models based on distributional word similarity, and apply them to two tasks, language modeling and pseudo-word disambiguation. In the language modeling task, a similarity-based model is used to improve probability estimates for unseen bigrams in a back-off language model. The similarity-based method yields a 20% perplexity improvement in the prediction of unseen bigrams and statistically significant reductions in speech-recognition error. We also compare four similarity-based estimation methods against back-off and maximum-likelihood estimation methods on a pseudo-word sense disambiguation task in which we controlled for both unigram and bigram frequency to avoid giving too much weight to easy-to-disambiguate high-frequency configurations. The similarity-based methods perform up to 40% better on this particular task.Comment: 26 pages, 5 figure

The Influence of Nature toward the Main Character’s Self-Realization in David Malouf’s An Imaginary Life: an Eco-Critical Reading

This article discusses David Malouf’s novel entitled An Imaginary Life from an eco-critical perspective. It examines certain symbols from nature that appear in the novel during the journey of Ovid, the main character, in the exile. The data is collected by applying library research methods. Primary data are all symbols from nature related to Ovid’s journey and the formation of his new identity in the exile. Meanwhile, the secondary data are all information from books and articles related with archetypal symbols and criticism. The result of analysis is presented by the descriptive method. The analysis results in two conclusions. Firstly, nature that is presented as wild at the beginning of the story turns into a home for the main character at the end of the story. Secondly, nature, represented by some symbols, evidently plays an important role in making Ovid embrace his new life and forms new identity apart from his past life as a famous poet back in Rome

Therapeutic Benefits of Nature Images on Health

This thesis is a journey that travels back in time, when nature and health were inseparable, and forward to a time when science was the impetus for separation between the natural landscape and healing (chapter two), then into the present when nature and health are being reunited, only through science (chapter three). The research conducted in 2008-2009 is reported in the form of three journal articles. The first article (chapter four) developed a methodology using sequential methods to select the nature images that would be used in the experiment. Appleton\u27s prospect refuge theory was the basis for four image categories. The second article (chapter five) reports on the experimental procedures using multiple methods of psychological and physiological data collection to assess the therapeutic influence of the image on a person in pain. The third article (chapter six) reports on findings related to `presence\u27, a virtual environments concept that reports on a sense of \u27being in\u27 the mediated environment and `influence\u27, which measured how much the image influenced thoughts during three stages: rest, pain treatment, and recovery. This exploratory study was designed in an interdisciplinary format, using various theory, methodology, and concepts from a broad array of disciplines to investigate which nature images are more therapeutic than others. Only statistically significant results are reported