Dictionary has many functions, in which the function of definition is of very importance because the main purpose of dictionary is providing the entry's meaning information for the readers so that the readers can ...Dictionary has many functions, in which the function of definition is of very importance because the main purpose of dictionary is providing the entry's meaning information for the readers so that the readers can understand and use the entry-word and the realization of the purpose completely depends on lexicographical definition. However, the function of definition is limited, which need the exemplification to assist it. Therefore, the exemplification becomes very important, too. Good exemplification can assist definition, provide grammatical information, and supplement the information usage and so on. Many researches studied the exemplification of dictionary, its principles and so on. Dictionary changed much with the development of technology and many kinds of electronic dictionaries appeared. Few studies are involved with the new-type dictionary. Based on the general principles of the exemplification in a learner's printed dictionary, it is necessary to construct the general principles about the exemplification in the electronic learner's dictionary.展开更多
As one of the most popular English learning tools, the 7th edition of Oxford Advanced Learner's English-Chinese Dictionary aims to provide adequate information to satisfy learners' needs. In this article, this...As one of the most popular English learning tools, the 7th edition of Oxford Advanced Learner's English-Chinese Dictionary aims to provide adequate information to satisfy learners' needs. In this article, this latest edition is examined with re spect to two primary aspects: syntactic and semantic information based on Chan, A.C. and Y. Loong's evaluating criteria of learn er's dictionary. The focus falls on grammatical properties of nouns, verbs and adjectives, valency requirement, definitions, syn onyms and antonyms, collocations, etc. Conclusion suggests that the overall standard of this new dictionary is admirably high in terms of applicability and user-friendliness.展开更多
This paper is to analyze the differences between the 3rd edition and 4th edition of Oxford Advanced Learner's English- Chinese Dictionary (hereafter referred to as ALECD3 and ALECD4). By making comparison between ...This paper is to analyze the differences between the 3rd edition and 4th edition of Oxford Advanced Learner's English- Chinese Dictionary (hereafter referred to as ALECD3 and ALECD4). By making comparison between the two dictionaries in the learner's and compiler's perspectives, it high-lights the priority of the 4th edition in content and compilation. Following a brief introduction in Part 1, Part 2 examines the innovations the 3rd edition has made in verb-pattern scheme, compounds, entries, examples, adjectives and appendices from the learner's perspective. Part3 holds a theoretical discussion of prescription and description in the 4th edition.展开更多
The niche discipline of Indo-European Studies has proven itself to be prevailingly au courant by launching several projects in the field of online etymological dictionaries.My paper will offer an overview of these pro...The niche discipline of Indo-European Studies has proven itself to be prevailingly au courant by launching several projects in the field of online etymological dictionaries.My paper will offer an overview of these projects(including the Lexicon Etymologicum Digitale Indoeuropaeum(LEDI)directed by me)and analyse their approaches,features,and peculiarities(e.g.,commercial vs.open access).Special attention will paid to the projects’inclusions of phonetic rules and affixes,which makes derivation transparent and is helpful for didactic purposes.展开更多
Sensitivity encoding(SENSE)is a parallel magnetic resonance imaging(MRI)reconstruction model by utilizing the sensitivity information of receiver coils to achieve image reconstruction.The existing SENSE-based reconstr...Sensitivity encoding(SENSE)is a parallel magnetic resonance imaging(MRI)reconstruction model by utilizing the sensitivity information of receiver coils to achieve image reconstruction.The existing SENSE-based reconstruction algorithms usually used nonadaptive sparsifying transforms,resulting in a limited reconstruction accuracy.Therefore,we proposed a new model for accurate parallel MRI reconstruction by combining the L0 norm regularization term based on the efficient sum of outer products dictionary learning(SOUPDIL)with the SENSE model,called SOUPDIL-SENSE.The SOUPDIL-SENSE model is mainly solved by utilizing the variable splitting and alternating direction method of multipliers techniques.The experimental results on four human datasets show that the proposed algorithm effectively promotes the image sparsity,eliminates the noise and artifacts of the reconstructed images,and improves the reconstruction accuracy.展开更多
文摘Dictionary has many functions, in which the function of definition is of very importance because the main purpose of dictionary is providing the entry's meaning information for the readers so that the readers can understand and use the entry-word and the realization of the purpose completely depends on lexicographical definition. However, the function of definition is limited, which need the exemplification to assist it. Therefore, the exemplification becomes very important, too. Good exemplification can assist definition, provide grammatical information, and supplement the information usage and so on. Many researches studied the exemplification of dictionary, its principles and so on. Dictionary changed much with the development of technology and many kinds of electronic dictionaries appeared. Few studies are involved with the new-type dictionary. Based on the general principles of the exemplification in a learner's printed dictionary, it is necessary to construct the general principles about the exemplification in the electronic learner's dictionary.
文摘As one of the most popular English learning tools, the 7th edition of Oxford Advanced Learner's English-Chinese Dictionary aims to provide adequate information to satisfy learners' needs. In this article, this latest edition is examined with re spect to two primary aspects: syntactic and semantic information based on Chan, A.C. and Y. Loong's evaluating criteria of learn er's dictionary. The focus falls on grammatical properties of nouns, verbs and adjectives, valency requirement, definitions, syn onyms and antonyms, collocations, etc. Conclusion suggests that the overall standard of this new dictionary is admirably high in terms of applicability and user-friendliness.
文摘This paper is to analyze the differences between the 3rd edition and 4th edition of Oxford Advanced Learner's English- Chinese Dictionary (hereafter referred to as ALECD3 and ALECD4). By making comparison between the two dictionaries in the learner's and compiler's perspectives, it high-lights the priority of the 4th edition in content and compilation. Following a brief introduction in Part 1, Part 2 examines the innovations the 3rd edition has made in verb-pattern scheme, compounds, entries, examples, adjectives and appendices from the learner's perspective. Part3 holds a theoretical discussion of prescription and description in the 4th edition.
文摘The niche discipline of Indo-European Studies has proven itself to be prevailingly au courant by launching several projects in the field of online etymological dictionaries.My paper will offer an overview of these projects(including the Lexicon Etymologicum Digitale Indoeuropaeum(LEDI)directed by me)and analyse their approaches,features,and peculiarities(e.g.,commercial vs.open access).Special attention will paid to the projects’inclusions of phonetic rules and affixes,which makes derivation transparent and is helpful for didactic purposes.
基金the National Natural Science Foundation of China(No.61861023)the Yunnan Fundamental Research Project(No.202301AT070452)。
文摘Sensitivity encoding(SENSE)is a parallel magnetic resonance imaging(MRI)reconstruction model by utilizing the sensitivity information of receiver coils to achieve image reconstruction.The existing SENSE-based reconstruction algorithms usually used nonadaptive sparsifying transforms,resulting in a limited reconstruction accuracy.Therefore,we proposed a new model for accurate parallel MRI reconstruction by combining the L0 norm regularization term based on the efficient sum of outer products dictionary learning(SOUPDIL)with the SENSE model,called SOUPDIL-SENSE.The SOUPDIL-SENSE model is mainly solved by utilizing the variable splitting and alternating direction method of multipliers techniques.The experimental results on four human datasets show that the proposed algorithm effectively promotes the image sparsity,eliminates the noise and artifacts of the reconstructed images,and improves the reconstruction accuracy.
