Multi-level max-margin analysis for semantic classification of satellite images

2015 ◽  
Vol 20 (1) ◽  
pp. 47-54
Author(s):  
Fan Hu ◽  
Gui-Song Xia ◽  
Hong Sun
Keyword(s):  
Satellite Images ◽  
Semantic Classification ◽  
Multi Level ◽  
Margin Analysis

scholarly journals MULTI-LEVEL VERBAL MARKERS OF SUGGESTION IN PROSECUTION ATTORNEYS’ OPENING STATEMENTS (IN THE SCOPE OF MODERN AMERICAN LEGAL THRILLERS)

2020 ◽  
Vol 1 (10(78)) ◽  
pp. 146-149
Author(s):  
Iryna Harbar
Keyword(s):  
Semantic Classification ◽  
Semantic Level ◽  
Legal Proceedings ◽  
Lexical Semantic ◽  
Psychological Influence ◽  
Multi Level ◽  
Opening Statements

The article sets out to justify the author’s opinion on the fact that the main peculiarity of the prosecution attorneys’ opening statements is their power of suggestion, i.e. exerting emotional and psychological influence on the jury with the purpose of changing their emotions, feelings and train of thoughts in favour of the attorney and their client. A lexical-semantic classification of multi-level verbal markers of suggestion has been worked out in the article under consideration to show which language units prosecution attorneys give preference to in order to exert the influence of suggestion on the jury. The classification in question shows that the notion of suggestion exists on all speech levels: phonetic, morphological, lexical-semantic and syntactic, with lexical-semantic being the most abundant in prosecution attorneys’ opening statements. Verbal markers of suggestion on lexical-semantic level were divided into those of direct and indirect nomination. Verbal markers of suggestion on phonetic, morphological and syntactic levels perform only supplementary function in exerting the influence of suggestion on the jury members. The article concludes that the prosecution attorneys purposely use a great amount of multi-level verbal markers of suggestion at the same time to have the massive impact on the jury’s thoughts, emotions, feelings, attitudes. The classification under consideration has been worked out in the scope of modern American legal thrillers, written by professional attorneys who depict the slightest details of real American legal proceedings.

scholarly journals THE RUSSIAN CONSTRUCTICON: A NEW LINGUISTIC RESOURCE, ITS DESIGN AND KEY CHARACTERISTICS

2020 ◽  
Author(s):  
A. A. Endresen ◽  
◽  
V. A. Zhukova ◽  
D. D. Mordashova ◽  
E. V. Rakhilina ◽  
...  
Keyword(s):  
Electronic Resource ◽  
Semantic Classification ◽  
Linguistic Resource ◽  
Key Characteristics ◽  
Fixed Part ◽  
Multi Level ◽  
The One ◽  
Contemporary Standard ◽  
Initial List

We present a new open-access electronic resource named the Russian Constructicon that offers a searchable database of Russian constructions accompanied by descriptions of their properties and illustrated with corpus examples. The project was carried out over the period 2016–2020 and at present contains an inventory of over 2200 multi-word constructions of Contemporary Standard Russian. We prioritize “partially schematic” constructions that lie between the two extremes of fully compositional syntactic sequences on the one hand and fully idiomatic (phraseological) expressions on the other hand. Constructions of this type are difficult to account for in terms of either lexicon or grammar alone, and are often underrepresented in reference works of Russian. A typical construction in our database contains a fixed part (anchor words) and an open slot that can be filled with a restricted set of lexemes. In this paper we first focus on key characteristics of this resource that make it different from existing constructicons of other languages. Second, we describe how the new interface will be designed and how it will serve the needs of both linguists and L2 learners of Russian. In particular, we discuss various search possibilities relevant for different users and those parameters that are available for specifying the retrieval output. An example of an entry is given to show how the information about each construction is structured and presented. Third, we provide an overview of our multi-level semantic classification of constructions. We argue that our system of semantic and syntactic tags subdivides our items into meaningful classes and smaller groups and eventually facilitates the identification of constructional families and clusters. This methodology works well in turning the initial list of constructions as unrelated units into a structured network and makes it possible to refine and expand the collected inventory of constructions in a systematic way.

Classification of vegetation in Cucphuong National Park with the aim of large-scale mapping, Vietnam

1996 ◽  
pp. 64-67 ◽  
Author(s):  
Nguen Nghia Thin ◽  
Nguen Ba Thu ◽  
Tran Van Thuy
Keyword(s):  
National Park ◽  
Large Scale ◽  
Satellite Images ◽  
Field Work ◽  
Aerial Photographs ◽  
Vegetation Map ◽  
Dense Forest ◽  
Broad Leaved Forest ◽  
Leaved Forest

The tropical seasonal rainy evergreen broad-leaved forest vegetation of the Cucphoung National Park has been classified and the distribution of plant communities has been shown on the map using the relations of vegetation to geology, geomorphology and pedology. The method of vegetation mapping includes: 1) the identifying of vegetation types in the remote-sensed materials (aerial photographs and satellite images); 2) field work to compile the interpretation keys and to characterize all the communities of a study area; 3) compilation of the final vegetation map using the combined information. In the classification presented a number of different level vegetation units have been identified: formation classes (3), formation sub-classes (3), formation groups (3), formations (4), subformations (10) and communities (19). Communities have been taken as mapping units. So in the vegetation map of the National Park 19 vegetation categories has been shown altogether, among them 13 are natural primary communities, and 6 are the secondary, anthropogenic ones. The secondary succession goes through 3 main stages: grassland herbaceous xerophytic vegetation, xerophytic scrub, dense forest.

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