969 research outputs found

    Using Chinese Gigaword Corpus and Chinese Word Sketch in linguistic Research

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    PACLIC 20 / Wuhan, China / 1-3 November, 200

    The Polysemy of Da3: An ontology-based lexical semantic study

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    PACLIC 21 / Seoul National University, Seoul, Korea / November 1-3, 200

    Ontology-based Prediction of Compound Relations : A Study Based on SUMO

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    This paper explores the interaction between conceptual structure and morpho-syntax. In particular, we show that ontology-based conceptual classification can be used to predict internal relations in compounds. We propose an ontology-based approach to predict the semantic relation between the two component words in Mandarin VV compounds. A Mandarin VV compound is classified according to the eventive relation between the two simplex verbs. These relations specify how the eventive meanings of the two simplex verbs combine to form the meaning of the compound. The three types of eventive relations that we deal with in this paper are: coordinate, modificational, and resultative. Since the way in which two events combine with each other depends upon their event types, we hypothesize that the eventive relations can be predicted by the conceptual classified event types of the two simplex verbs. An approach of ontology-based prediction is proposed based on this hypothesis. The assignment of ontology classification for each simplex verb is based on SUMO and Sinica BOW. The correlation between the ontology class of each verb position and each eventive type is trained and scored based on a manually tagged lexical database. We encode the ontology information of each VV compound in a 3-tuple based on these correlation scores. This 3-tuple is represented as a three-dimensional vector and used to predict the eventive type of new VV compounds. Our classification experiment on unknown VV compounds yields good recall and precision

    Study on Economic Carrying Capacity of Industries Transfer from the Coastal areas to the Central region in China based on Employment Change Forecast

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    Abstract: Nowadays, industry transfer from the coastal areas to the central region and the west areas has become an essential measure for our national adjusting of industrial layout. Because the central region has a superior location advantage of undertaking east and opening west, it becomes key areas for undertaking industries.Therefore, whether the economic carrying capacity of the central region can adapt to this large-scale industrial transfer will be the key to seize the opportunity. According to the experience of international industrial transfer, large-scale industrial transfer is bound to bring about inevitably rapid increase in employment, so the article tries to use the three industrial employment data of the three central region provinces (Anhui, Jiangxi and Hunan) and the three coastal provinces (Guangdong, Jiangsu, Zhejiang) from 1978 to 2010, and then constructs the ARIMA model to forecast the employment of three industries from 2011 to 2015. Through comparatively analyzing prediction of employment changes of the central and the coastal provinces in the next few years, it will resolve some problems such as the economic carrying capacity of the central region undertaking the coastal industrial transfer, and three conclusions have been pointed out: 1) taking the coastal economic carrying capacity as a benchmark, the economic carrying capacity of the central region has not been saturated; 2)viewing the prediction of employment changes of the coastal and central region, the coastal industrial transfer has not formed in scale trend in the next few years; 3)from the terms of the changes of the future growth of the three industries, the undeveloped secondary industry is the bottleneck factor in restricting the improvement of economic carrying capacity for undertaking the coastal industrial transfer, and the low proportion of the third industry in the coastal areas is the viscosity factor in restricting the transfer of industries to the central region

    Ethyl 1-[(4-acetyl-2-methoxy­phen­oxy)meth­yl]cyclo­propane-1-carboxyl­ate

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    In the title compound, C16H20O5, the dihedral angle between the planar rings, viz. benzene and cyclo­propane, is 52.1 (2)°. Mol­ecules are connected in the crystal via weak inter­molecular C—H⋯O hydrogen bonds, forming chains in the [001] direction

    Using Corpus-based Linguistic Approaches in Sense Prediction Study

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