3 research outputs found

    Analogical Learner For Natural Language Processing Based On Structured String-tree Correspondence (sstc) And Case-based Reasoning

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    Mesin terjemahan melalui contoh menggunakan contoh penterjemahan yang seiras yang didapati daripada bank pengetahuan dua bahasa (BKB). Example-Based Machine Translation (EBMT) is using the similar translation examples which are retrieved from the Bilingual Knowledge Bank (BKB) to translate an input sentence

    Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB).

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    Sourcing for large amount of text and translating them are some of the challenges in building an Example-Based Machine Translation (EBMT) system. These big amounts of translated texts are annotated into the S-SSTC format to cover an extensive vocabulary and sentence structures. However, the Bilingual Knowledge Bank (BKB), which is a collection of the S-SSTCs, will normally contain redundancy. Hence, the idea of an optimized BKB is born. An optimized BKB (redundancy reduced; is smaller in size but is as equally extensive in term of its sentence structure coverage compared to an un-optimized BKB. Therefore, an optimized BKB enhances the performance of the EBMT. In this paper, we introduce the idea of an optimized BKB and propose it to be re-used to effectively construct new BKBs in order to adapt an existing EBMT for new language pairs

    High-Performance Supercapacitor Based on Three-Dimensional Hierarchical rGO/Nickel Cobaltite Nanostructures as Electrode Materials

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    A hybrid supercapacitor that employs nanomaterial has been extensively studied recently. However, inexorable collapse and agglomeration of metal oxide and short cycle stability of graphene sheets greatly hinder their practical applications. Herein, we demonstrate a competent synergic effect between nickel cobaltite (NCO) and reduced graphene oxide (rGO) for synthesizing the three-dimensional hierarchical rGO/NCO nanostructures via a facile one-pot hydrothermal method, followed by subsequent annealing in air. The structural and morphological characteristics of as-synthesized rGO/NCO have been characterized in-depth by FESEM, XRD, XPS, BET, and Raman spectroscopy. When incorporated in a two-electrode system with 2.0 M KOH electrolyte, the three-dimensional rGO/NCO nanostructures exhibit excellent supercapacitive performance. This is due to the unique properties of rGO that provide a flexible and expandable platform for growing NCO nanocrystals, which result in a nanoscopic rose petals morphology. These nanostructures provide a large surface area which facilitates the ion diffusion and eventually enhances the specific capacitance. Furthermore, performance studies between the as-synthesized electrode materials with a commercialized supercapacitor proved that the as-synthesized rGO/NCO electrode possesses a proficient potential to be a supercapacitor material, which provides high energy density as well as power density. A two-electrode system is advantageous over a conventional three-electrode system because it mimics the cell configuration of commercial supercapacitors
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