In order to improve Chinese overlapping ambiguity resolution based on a support vector machine, statistical features are studied for representing the feature vectors. First, four statistical parameters-mutual informat...In order to improve Chinese overlapping ambiguity resolution based on a support vector machine, statistical features are studied for representing the feature vectors. First, four statistical parameters-mutual information, accessor variety, two-character word frequency and single-character word frequency are used to describe the feature vectors respectively. Then other parameters are tried to add as complementary features to the parameters which obtain the best results for further improving the classification performance. Experimental results show that features represented by mutual information, single-character word frequency and accessor variety can obtain an optimum result of 94. 39%. Compared with a commonly used word probability model, the accuracy has been improved by 6. 62%. Such comparative results confirm that the classification performance can be improved by feature selection and representation.展开更多
This is a poem review which analyzes The Mill that was written by a new poet in China, looking at it from the conceptual perspective. The conceptual shift and collocation between concreteness and abstractness enable h...This is a poem review which analyzes The Mill that was written by a new poet in China, looking at it from the conceptual perspective. The conceptual shift and collocation between concreteness and abstractness enable her poems to carry both linguistic power and emotional strength; the conceptual images created by her abstract thinking and unique perception make her poems achieve originality and readability; her conceptual self built by the use of first person pronouns is actually not that of a person but that of a personified mule who was indignant about its heavy workload yet unable to speak against its predestined destiny. Although suffering from brain paralysis, the poet is shown by this review to be a sensible manipulator of words, which reveal the unique beauty in her language and show the suppressed sadness in her heart.展开更多
We propose a heterogeneous, mid-level feature based method for recognizing natural scene categories. The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the l...We propose a heterogeneous, mid-level feature based method for recognizing natural scene categories. The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic analysis （pLSA） based on the bag-of-words representation. The proposed feature always performs better than standard pLSA because the performance of pLSA is adversely affected in many cases due to the loss of spatial information. By combining various interest point detectors and local region descriptors used in the bag-of-words model, the proposed feature can make further improvement for diverse scene category recognition tasks. We also propose a two-stage framework for multi-class classification. In the first stage, for each of possible detector/descriptor pairs, adaptive boosting classifiers are employed to select the most discriminative topics and further compute posterior probabilities of an unknown image from those selected topics. The second stage uses the prod-max rule to combine information coming from multiple sources and assigns the unknown image to the scene category with the highest ＇final＇ posterior probability. Experimental results on three benchmark scene datasets show that the proposed method exceeds most state-of-the-art methods.展开更多
Within the framework of Conceptual Transfer Hypothesis （Jarvis, 2007; 2011）, this paper investigates Chinese-speaking L2-English learners＇ computation of the uniqueness of noun phrases （NPs）, which further leads ...Within the framework of Conceptual Transfer Hypothesis （Jarvis, 2007; 2011）, this paper investigates Chinese-speaking L2-English learners＇ computation of the uniqueness of noun phrases （NPs）, which further leads to their selection of English articles in marking the target NPs. An acceptability judgment task and a written interview task were used to collect data of L2 learners＇ interpretation of English articles. The results reveal that the L2 learners differ from native speakers in their computation of uniqueness of target NPs and in their L2-English article choices, and this difference can be attributed to their conceptual knowledge formed in the acquisition of the mother tongue and to their processing of such knowledge. Pedagogically, this study provides an explanation of L2-English article substitution errors from the perspective of conceptual transfer.展开更多
文摘In order to improve Chinese overlapping ambiguity resolution based on a support vector machine, statistical features are studied for representing the feature vectors. First, four statistical parameters-mutual information, accessor variety, two-character word frequency and single-character word frequency are used to describe the feature vectors respectively. Then other parameters are tried to add as complementary features to the parameters which obtain the best results for further improving the classification performance. Experimental results show that features represented by mutual information, single-character word frequency and accessor variety can obtain an optimum result of 94. 39%. Compared with a commonly used word probability model, the accuracy has been improved by 6. 62%. Such comparative results confirm that the classification performance can be improved by feature selection and representation.
文摘This is a poem review which analyzes The Mill that was written by a new poet in China, looking at it from the conceptual perspective. The conceptual shift and collocation between concreteness and abstractness enable her poems to carry both linguistic power and emotional strength; the conceptual images created by her abstract thinking and unique perception make her poems achieve originality and readability; her conceptual self built by the use of first person pronouns is actually not that of a person but that of a personified mule who was indignant about its heavy workload yet unable to speak against its predestined destiny. Although suffering from brain paralysis, the poet is shown by this review to be a sensible manipulator of words, which reveal the unique beauty in her language and show the suppressed sadness in her heart.
基金Project supported by the Fundamental Research Funds for the Central Universities,China(No.lzujbky-2013-41)the National Natural Science Foundation of China(No.61201446)the Basic Scientific Research Business Expenses of the Central University and Open Project of Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education,Lanzhou University(No.LZUMMM2015010)
文摘We propose a heterogeneous, mid-level feature based method for recognizing natural scene categories. The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic analysis （pLSA） based on the bag-of-words representation. The proposed feature always performs better than standard pLSA because the performance of pLSA is adversely affected in many cases due to the loss of spatial information. By combining various interest point detectors and local region descriptors used in the bag-of-words model, the proposed feature can make further improvement for diverse scene category recognition tasks. We also propose a two-stage framework for multi-class classification. In the first stage, for each of possible detector/descriptor pairs, adaptive boosting classifiers are employed to select the most discriminative topics and further compute posterior probabilities of an unknown image from those selected topics. The second stage uses the prod-max rule to combine information coming from multiple sources and assigns the unknown image to the scene category with the highest ＇final＇ posterior probability. Experimental results on three benchmark scene datasets show that the proposed method exceeds most state-of-the-art methods.
基金I am grateful to Prof. Chuming Wang （GDUFS, China） and Dr. Tania Ionin （UIUC, USA） for their guidance in writing this paper. Thanks to two anonymous reviewers for very helpful comments and suggestions thanks also to the support from Social Science Foundation of Guangdong Province, China （Grant No. GD11YWW04）. All remaining errors are my own.
文摘Within the framework of Conceptual Transfer Hypothesis （Jarvis, 2007; 2011）, this paper investigates Chinese-speaking L2-English learners＇ computation of the uniqueness of noun phrases （NPs）, which further leads to their selection of English articles in marking the target NPs. An acceptability judgment task and a written interview task were used to collect data of L2 learners＇ interpretation of English articles. The results reveal that the L2 learners differ from native speakers in their computation of uniqueness of target NPs and in their L2-English article choices, and this difference can be attributed to their conceptual knowledge formed in the acquisition of the mother tongue and to their processing of such knowledge. Pedagogically, this study provides an explanation of L2-English article substitution errors from the perspective of conceptual transfer.
