With the fast development of civil aviation air traffic services in our country, the standard of message contents,formats and data convention has been established to realize the automatic processing of the aviation co...With the fast development of civil aviation air traffic services in our country, the standard of message contents,formats and data convention has been established to realize the automatic processing of the aviation controling telegram.Considering the frequent change in the telegram format,a method of realizing a telegram decoding programme indepent of the telegram format is proposed.The experimental result proves it a sound way to decipher the telegram.展开更多
Since the specifications of most of the existing context-sensitive graph grammars tend to be either too intricate or not intuitive, a novel context-sensitive graph grammar formalism, called context-attributed graph gr...Since the specifications of most of the existing context-sensitive graph grammars tend to be either too intricate or not intuitive, a novel context-sensitive graph grammar formalism, called context-attributed graph grammar（CAGG）, is proposed. In order to resolve the embedding problem, context information of a graph production in the CAGG is represented in the form of context attributes of the nodes involved. Moreover, several properties of a set of confluent CAGG productions are characterized, and then an algorithm based on them is developed to decide whether or not a set of productions is confluent, which provides the foundation for the design of efficient parsing algorithms. It can also be shown through the comparison of CAGG with several typical context-sensitive graph grammars that CAGG is more succinct and, at the same time, more intuitive than the others, making it more suitably and effortlessly applicable to the specification of visual languages.展开更多
In this research, the author considers the evidence provided by a corpus of Late Modem English grammars for our understanding of the development of the modals as politeness markers. It is possible to see how the modal...In this research, the author considers the evidence provided by a corpus of Late Modem English grammars for our understanding of the development of the modals as politeness markers. It is possible to see how the modals and their accompanied senses are explained in an official （and often either prescriptive or proscriptive） perspective. This is another aspect which cannot be ascertained from the usage based on corpora which seem to be popular as sources of evidence in historical pragmatics. In this sense, this research brings some novel perspective to this aspect of academic study. It is possible to notice that the significations involves concept or senses which extend across a semantic--pragmatic domain which includes politeness. We can see that certain softening senses are key elements to mark polite usage. The main data used come from the descriptions of the modal auxiliary verb in a corpus of grammar books from the period. Usage and manner books are also consulted as a secondary resource. The manner book in particular is quite helpful for our understanding of how linguistic politeness was regarded at the time. Such texts also help us to find a certain network of senses which are related to polite expressions.展开更多
The present study attempts to identify the major factors influencing EFL reading comprehension by drawing on the data collected from questionnaire and tests. The findings indicate that reading comprehension is compose...The present study attempts to identify the major factors influencing EFL reading comprehension by drawing on the data collected from questionnaire and tests. The findings indicate that reading comprehension is composed of three major components： ＂Schema＂, ＂Vocabulary＂, and ＂Motivation ＆ Purpose＂. These three components are made up of the following six factors respectively： ＂textual schema＂, ＂extra-textual schema＂, ＂vocabulary guessing＂, ＂vocabulary noticing＂, ＂motivation＂ and ＂purpose＂. Among the major components of reading comprehension, the four factors of ＂textual schema＂, ＂vocabulary guessing＂, ＂vocabulary noticing＂ and ＂motivation＂ are significantly correlated with reading comprehension.展开更多
A novel image auto-annotation method is presented based on probabilistic latent semantic analysis(PLSA) model and multiple Markov random fields(MRF).A PLSA model with asymmetric modalities is first constructed to esti...A novel image auto-annotation method is presented based on probabilistic latent semantic analysis(PLSA) model and multiple Markov random fields(MRF).A PLSA model with asymmetric modalities is first constructed to estimate the joint probability between images and semantic concepts,then a subgraph is extracted served as the corresponding structure of Markov random fields and inference over it is performed by the iterative conditional modes so as to capture the final annotation for the image.The novelty of our method mainly lies in two aspects:exploiting PLSA to estimate the joint probability between images and semantic concepts as well as multiple MRF to further explore the semantic context among keywords for accurate image annotation.To demonstrate the effectiveness of this approach,an experiment on the Corel5 k dataset is conducted and its results are compared favorably with the current state-of-the-art approaches.展开更多
Automatic web image annotation is a practical and effective way for both web image retrieval and image understanding. However, current annotation techniques make no further investigation of the statement-level syntact...Automatic web image annotation is a practical and effective way for both web image retrieval and image understanding. However, current annotation techniques make no further investigation of the statement-level syntactic correlation among the annotated words, therefore making it very difficult to render natural language interpretation for images such as "pandas eat bamboo". In this paper, we propose an approach to interpret image semantics through mining the visible and textual information hidden in images. This approach mainly consists of two parts: first the annotated words of target images are ranked according to two factors, namely the visual correlation and the pairwise co-occurrence; then the statement-level syntactic correlation among annotated words is explored and natural language interpretation for the target image is obtained. Experiments conducted on real-world web images show the effectiveness of the proposed approach.展开更多
文摘With the fast development of civil aviation air traffic services in our country, the standard of message contents,formats and data convention has been established to realize the automatic processing of the aviation controling telegram.Considering the frequent change in the telegram format,a method of realizing a telegram decoding programme indepent of the telegram format is proposed.The experimental result proves it a sound way to decipher the telegram.
基金The National Natural Science Foundation of China(No.60571048,60673186,60736015)the National High Technology Researchand Development Program of China(863Program)(No.2007AA01Z178)
文摘Since the specifications of most of the existing context-sensitive graph grammars tend to be either too intricate or not intuitive, a novel context-sensitive graph grammar formalism, called context-attributed graph grammar（CAGG）, is proposed. In order to resolve the embedding problem, context information of a graph production in the CAGG is represented in the form of context attributes of the nodes involved. Moreover, several properties of a set of confluent CAGG productions are characterized, and then an algorithm based on them is developed to decide whether or not a set of productions is confluent, which provides the foundation for the design of efficient parsing algorithms. It can also be shown through the comparison of CAGG with several typical context-sensitive graph grammars that CAGG is more succinct and, at the same time, more intuitive than the others, making it more suitably and effortlessly applicable to the specification of visual languages.
文摘In this research, the author considers the evidence provided by a corpus of Late Modem English grammars for our understanding of the development of the modals as politeness markers. It is possible to see how the modals and their accompanied senses are explained in an official （and often either prescriptive or proscriptive） perspective. This is another aspect which cannot be ascertained from the usage based on corpora which seem to be popular as sources of evidence in historical pragmatics. In this sense, this research brings some novel perspective to this aspect of academic study. It is possible to notice that the significations involves concept or senses which extend across a semantic--pragmatic domain which includes politeness. We can see that certain softening senses are key elements to mark polite usage. The main data used come from the descriptions of the modal auxiliary verb in a corpus of grammar books from the period. Usage and manner books are also consulted as a secondary resource. The manner book in particular is quite helpful for our understanding of how linguistic politeness was regarded at the time. Such texts also help us to find a certain network of senses which are related to polite expressions.
文摘The present study attempts to identify the major factors influencing EFL reading comprehension by drawing on the data collected from questionnaire and tests. The findings indicate that reading comprehension is composed of three major components： ＂Schema＂, ＂Vocabulary＂, and ＂Motivation ＆ Purpose＂. These three components are made up of the following six factors respectively： ＂textual schema＂, ＂extra-textual schema＂, ＂vocabulary guessing＂, ＂vocabulary noticing＂, ＂motivation＂ and ＂purpose＂. Among the major components of reading comprehension, the four factors of ＂textual schema＂, ＂vocabulary guessing＂, ＂vocabulary noticing＂ and ＂motivation＂ are significantly correlated with reading comprehension.
基金Supported by the National Basic Research Priorities Program(No.2013CB329502)the National High-tech R&D Program of China(No.2012AA011003)+1 种基金National Natural Science Foundation of China(No.61035003,61072085,60933004,60903141)the National Scienceand Technology Support Program of China(No.2012BA107B02)
文摘A novel image auto-annotation method is presented based on probabilistic latent semantic analysis(PLSA) model and multiple Markov random fields(MRF).A PLSA model with asymmetric modalities is first constructed to estimate the joint probability between images and semantic concepts,then a subgraph is extracted served as the corresponding structure of Markov random fields and inference over it is performed by the iterative conditional modes so as to capture the final annotation for the image.The novelty of our method mainly lies in two aspects:exploiting PLSA to estimate the joint probability between images and semantic concepts as well as multiple MRF to further explore the semantic context among keywords for accurate image annotation.To demonstrate the effectiveness of this approach,an experiment on the Corel5 k dataset is conducted and its results are compared favorably with the current state-of-the-art approaches.
基金Project supported by the National Natural Science Foundation of China (Nos 60533090 and 60603096)the National High-Tech Research and Development Program (863) of China (No 2006AA 010107)
文摘Automatic web image annotation is a practical and effective way for both web image retrieval and image understanding. However, current annotation techniques make no further investigation of the statement-level syntactic correlation among the annotated words, therefore making it very difficult to render natural language interpretation for images such as "pandas eat bamboo". In this paper, we propose an approach to interpret image semantics through mining the visible and textual information hidden in images. This approach mainly consists of two parts: first the annotated words of target images are ranked according to two factors, namely the visual correlation and the pairwise co-occurrence; then the statement-level syntactic correlation among annotated words is explored and natural language interpretation for the target image is obtained. Experiments conducted on real-world web images show the effectiveness of the proposed approach.
