Statistical Function Tagging and Grammatical Relations of Myanmar Sentences

This paper describes a context free grammar (CFG) based grammatical relations for Myanmar sentences which combine corpus-based function tagging system. Part of the challenge of statistical function tagging for Myanmar sentences comes from the fact that Myanmar has free-phrase-order and a complex morphological system. Function tagging is a pre-processing step to show grammatical relations of Myanmar sentences. In the task of function tagging, which tags the function of Myanmar sentences with correct segmentation, POS (part-of-speech) tagging and chunking information, we use Naive Bayesian theory to disambiguate the possible function tags of a word. We apply context free grammar (CFG) to find out the grammatical relations of the function tags. We also create a functional annotated tagged corpus for Myanmar and propose the grammar rules for Myanmar sentences. Experiments show that our analysis achieves a good result with simple sentences and complex sentences.Comment: 16 pages, 7 figures, 8 tables, AIAA-2011 (India). arXiv admin note: text overlap with arXiv:0912.1820 by other author

Feature Selection for Categorization of Online News Articles in Myanmar Language

In text mining, the feature selection plays an important role to reduce the high dimensionality of feature space. It can improve the accuracy of the document clustering process and help to avoid overfitting problem. Nowadays, the enormous amount of news article documents is widely available on the internet due to the rapid development of the web. Consequently, there is an urgent need to extract useful content from overloaded information. The categorization of online text documents is crucial to avoid information overload and it can help readers to find rapidly their interesting topic. The problem arises for text categorization is the large number of features space. This study has two phases, documents preprocessing and feature selection. Document preprocessing contains documents collection, syllable segmentation, word segmentation, removing stop words for extracting features from the collection of Myanmar online news documents including sport, health, crime etc. In this study, TF-IDF weighting method is adapted for feature selection. The experimental result shows the adapted TF-IDF method has higher performance than based TF-IDF method

ONTOLOGICAL META-ANALYSIS AND SYNTHESIS OF HIPAA

We present ontological meta-analysis and synthesis of HIPAA (Health Insurance Portability and Accountability Act) as a method for reviewing, mapping, and visualizing the research literature in the domain cumulatively, logically, systematically, and systemically. The method will highlight the domain\u27s bright spots which are heavily emphasized, the light spots which are lightly emphasized, the blind spots which have been overlooked, and the blank spots which may never be emphasized. It will highlight the biases and asymmetries in the domain\u27s research; the research can then be realigned to make it stronger and more effective. We present an ontology for HIPAA, map the literature onto the ontology, and highlight its bright, light, and blank/blind spots in an ontological map. We conclude with a discussion of how such a map can be used to realign HIPAA research and practice

Requirement prioritization based on non-functional requirement classification using hierarchy analytic hierarchy process

This Requirement prioritization is the process in requirement engineering which in one stage in SDLC. Requirements engineering process aid to increase the excellence of software systems. Software system requirements are often classified as functional requirements (FR) or non-functional requirement (NFR). To produce a high-quality software system, both functional and non-functional requirement must be considered during requirement prioritization process. Most of the existing requirement prioritization method is only considering functional requirements since but neglecting the effect of NFR on specified FR. The aim of this paper to propose requirement prioritization technique that embed the non-functional requirements using existing RALIC dataset. Implementation of this paper, RALIC dataset hierarchy (a) use pairwise comparison and consistency ratio check for accuracy. Classified the percentage of NFR for hierarchy (a). Hierarchy (a) pairwise comparison result of weights (a.1) was (0.60) which is highest prioritized. Classified the NFR for hierarchy (a) requirements was efficiency (60%), security was (31%) and usability was (11%). Efficiency was the highest in hierarchy (a). Oppositely, highest percentage of NFR for hierarchy (a to j) was Portability requirement (92%) from hierarchy (e). The finding, when make the pairwise comparison for hierarchy (a to j) requirements input was (15, 051), in contrast, hierarchically pairwise comparison for (a to j) requirements input was (403). Therefore, hierarchically comparison can be reduced the number of requirements (97.33 %)

Domain-Specific Sentiment Lexicon for Classification

Nowadays people express their opinions about products, government policies, schemes and programs over social media sites using web or mobile. At the present time, in our country, government changes policies in every sector and people follow with the eyes or the mind on these policies and express their opinion by writing comments on social media especially using Facebook news media pages. Therefore, our research group intends to do sentiment analysis on new articles. Domain-specific sentiment lexicon has played an important role in opinion mining system. Due to the ubiquitous domain diversity and absence of domain-specific prior knowledge, construction of domain-specific lexicon has become a challenging research topic in recent year. In this paper, lexicon construction for sentiment analysis is described. In this work, there are two main steps: (1) pre-processing on raw data comments that are extracted from Facebook news media pages and (2) constructing lexicon for coming classification work. The word correlation and chi-square statistic are applied to construct lexicon as desired. Experimental results on comments datasets demonstrate that proposed approach is suitable for construction the domain-specific lexicon

Study on the Treatment of Liquid Waste from Rare Earth Processing by Chemical Precipitation

This paper describes treatment of liquid waste from rare earth processing by chemical precipitation. Monazite ore from Moemeik Myitsone area was used as raw material for rare earth processing. Large amount of solid and liquid wastes were generated after rare earth oxide processing. Solid waste was stored in the storage tanks and liquid waste needed further treatment before discharges to the environment. Research process serves the purpose of reducing the volume of the waste as much as possible to protect men and the environment from any undesirable effects for the present and future generation. Treatment methods are selected based on the composition, quantity and form of the waste materials. The used method is chemical precipitation method. For liquid waste treatment, the most coagulation treatment used is the Fe +++ co-precipitation followed by settling, decantation and filtration of the supernatant liquid. The efficiency of the process can be improved by careful control of the pH and the settling the decantation procedure. The sludge was filtered, dried in oven and collected in plastic bags and temporary stored in 100 liters plastic drums.   Finally all of the decontaminated effluents are safety discharged to the environment. All of the experiments were analyzed by the X- ray Fluorescence Spectrometer (XRF). Before treatment, thorium and uranium contained <2000 ppm,  < 300 ppm and this is in the low level waste. After treatment result in decant water gives uranium (< 1 ppm) and thorium (< 10 ppm).According to the threshold limits for the UK radioactive classification system,   liquid waste from rare earth processing was less than (0.4 Bq/g) and this range is in exempt waste and can be discharge to drain and to the environment safety. The safety regime was in place and improved simultaneously by survey monitoring by using Alert Monitor 4 meter Scale in USV/H

Study on Processing of Rare Earth Oxide from Monazite, Mongmit Myitsone Region

The present study investigates to support the production of rare earth oxide, which has been used for next research work of individual rare earth elements purification process from monazite, Mongmit Myitsone Region. The processing of rare earth oxide in this study involves four main parts, digestion of monazite concentrate, selective precipitation of rare earth hydroxide, precipitation of rare earth oxalate and calcination of rare earth oxide. The chemicals used in this study were commercial grade from local market. The products from each processing process were characterized by XRD and XRF. The final product contained (> 95 %) of total rare earth oxide and fulfilled to apply next purification process. This paper review the cheaper and easily way to extract rare earth oxide from Myanmar monazite

Climate-Smart Village Report: Taung Khamauk Village, Myanmar

Taung Khamauk village is located in Naung Shwe Township, Southern Shan State. The village is situated 3700 feet above sea level. Hills dominate the village topography with moderate to deep-sloping lands. The primary livelihoods of the village are agriculture and others such as selling fire wood, casual labor, and construction labor. Water scarcity is a significant challenge for agricultural productivity. Rainwater is harvested and stored for domestic use for a year long. Taung Khamauk was designated as a climate-smart village where participatory action research was undertaken from 2019 to 2020 to find solutions to the challenges posed by climate change on the lives and livelihoods of local farmers. In this project, IIRR promoted the CSV approach, facilitating community-based adaptation (CBA) processes, and a portfolio of CSA options is derived. With support from the International Development Research Centre (IDRC) Canada, the research project was implemented in Myanmar from July 2020 to July 2022. The purpose of this brief is to describe the updated profile of Taung Khamauk village in Southern Shan State, Myanmar, from 2019 to 2022

Investigation of Japanese Encephalitis Virus Infection in Bogalay Township, Myanmar in 1999

An investigation was in Nyi-naung-wa village, Bogalay township for Japanese encephalitis (JE) virus infection and the possibility of a JE outbreak. JE virus antibody was determined among the pigs and the people living near the pig farms in that village and at an adjacent village as a control. The known JE virus vector Culex mosquito species were also identified in both villages. Haemagglutination inhibition (HAI) methods were used for the detectioon of JE and dengue antibodies. Homotypic or monotypic JE antibodies were detected in 33% of the pigs tested. No homotypic nor monotypic JE antibodis was detected among the villagers. Although there was no JE virus infection among the people, because of the presence of JE virus infection among the pigs and the presence of Culex mosquito vector in that area, the possibility of a JE outbreak in humans in that area, if the number of pig breeding per household increase and the mosquito density become higher is discussed