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

Developing Word-aligned Myanmar-English Parallel Corpus based on the IBM Models

Word alignment in bilingual corpora has been an active research topic in the Machine Translation research groups. Corpus is the body of text collections, which are useful for Language Processing (NLP). Parallel text alignment is the identification of the corresponding sentences in the parallel text. Large collections of parallel level are prerequisite for many areas of linguistic research. Parallel corpus helps in making statistical bilingual dictionary, in supporting statistical machine translation and in supporting as training data for word sense disambiguation and translation disambiguation. Nowadays, the world is a global network and everybody will be learned more than one language. So, multilingual corpora are more processing. Thus, the main purpose of this system is to construct word-aligned parallel corpus to be able in Myanmar-English machine translation. One useful concept is to identify correspondences between words in one language and in other language. The proposed approach is based on the first three IBM models and EM algorithm. It also shows that the approach can also be improved by using a list of cognates and morphological analysis

Design, verification and measurement for post-transaction user input error handling

Based on the patterns, a novel approach is proposed for the automated approximate verification of provisions for correcting post-transaction user input errors of a transaction from transaction source code.Doctor of Philosophy (EEE

Data Deduplication using B+ Tree Indexing

As the amount of storage utilization becomelarger and larger, people have been tried to find outthe efficient ways to safe storage space. The singleinstance storage or data deduplication becomesvague in storage management as it can eliminateduplicated data or segments in those files. In thispaper, we proposed Data Deduplication System forsub-file level. This system can perform deduplicationwith the integrated use of file chunking algorithm;secure hash function and B+ tree indexing. In thissystem, we will first separate the file intovariable_length segments or chunks using TwoThresholds Two Divisors chunking algorithm.ChunkIDs are then obtained by applying hashfunction to the chunks. The resulted ChunkIDs areused to build as indexing keys in B+ tree like indexstructure. This system can reduce the indexing timecomplexity from O (n) to O (log n). The performanceof proposed system will be compared with the othersystems in terms of performance metrics such asWinZIP, WinRAR, etc

Preference Querying for Context-Aware Location Based Services

This paper presents system architecture of aContext and Preference-Aware Location-based Servicessystem (CPALBS, for short), that delivers personalizedservices to its customers based on the user preferencequery. CPALBS goes beyond the traditional scheme of“one size fits all” of existing location-aware databasesystems. Instead, CPALBS tailors its functionalities andservices based on the preference of each customer. One ofservices provided by CPALBS includes a hotel finderapplication in which CPALBS does not base its choice ofhotels solely on the user desired location. Instead,CPALBS will base its choice on both the user desiredlocation and preferences (e.g., user dietary restriction).Inthis system, user requests the available services via mobiledevice and the system returns the optimal answers relatedto user requested location range and preferences. Withinthe framework of CPALBS, a proximity detectionalgorithm based on symmetry approach is proposed tofind user desired location range and a simple treematching method is proposed by analyzing the structureand content of query tree to efficient match and extractuser preferences query within specified location range.The proposed system uses label order rooted tree datastructure to efficiently match user preference query basedon the user preferences

Intelligent Data Management in Object-based Storage Device

The performance of the whole file systemdepends on how managing the system’s componentswell. Consequently, designing intelligent object willcatch the fancy of most researchers. Furthermore,the intelligence of OSD (Object-based StorageDevices) depends on the object intelligence.Therefore, space allocation in OSD is stronglyconnected with this special object.As a nature of OSD, objects are allocatedon disk continuously. But, whenever, insufficientspace is in current OSD, objects also are needed toplace in scattering manner among the OSD Cluster.In this paper, specific intelligent object andcomponent object are combined to work forefficient data allocation which satisfies one of thefeatures: intelligent space management in thestorage layer on OSD. And the proposed objectwork well for space allocation scheme using simplemathematical logic and the result is stored usingdoubly linked list. The goal is to manage systemfree resources in predefined style for efficient spacecollection and fast allocation for the incomingobject

Resource Management in Virtualized Data Center Based-on AHP and TOPSIS under Fuzzy Environment

In this paper, a three level resource managementsystem for virtualized data center ispresented. Three levels are defined as vitrualmachine level controller (VLC), host level controller(HLC) and central level controller (CLC).When ideal resources are available, VLC andHLC can perform resource management. In thecase of overloading or underloading condition ata host, CLC manages resources by giving migrationdecisions. This paper presents an evaluationmodel for the decision support of VM migrationin VDC based on the analytical hierarchyprocess (AHP) and the technique for order preferenceby similarity to ideal solution (TOPSIS)under fuzzy environment. VM and target serverselections are multi-criteria decision makingproblems. AHP is used for criteria weight consistencychecking and Fuzzy TOPSIS is used forfinal ranking. The numerical evaluation is conductedto illustrate the utilization of the model