In Praise of Sarah Richmond's Translation of L'Être et le néant

This article surveys most of the recent reviews of Sarah Richmond’s excellent new translation of L’Être et le néant. It offers some close textual comparisons between Richmond’s translation, Hazel Barnes’ translation, and the Checklist of Errors of Hazel Barnes’ Translation of L’Être et le néant. This article concludes that Richmond delivers a higher semantic resolution translation that overcomes nearly all the liabilities found in Barnes and does so without sacrificing much by way of readability.

Language game as a means of linguistic anecdote organization

The article discusses specific features of the anecdote as a speech genre, analyzes communicative-pragmatic principles of creating a comic effect in anecdotes based on the wordplay. It is noted that the concept of «anecdote», despite the fact that it is widely used in modern literary criticism and linguistics, does not have a single interpretation and a precise theoretical definition, which is explained by its genre uniqueness and complexity of a cognitive-pragmatic nature. It is emphasized that the most important part of the work of this genre is its finale, originally known to the narrator. It is the last climax phrase that contains the unexpected and unpredictable final semantic resolution that constitutes the anecdote as such. Among the features inherent in the actual anecdotal texts are: small volume, lack of authorship, reproducibility, indefinite chronotope, stereotypicality of plot schemes, relatively constant set of characters, ambivalence of the meaning of language units, intertextuality, situational functioning, etc. The dominant category of the anecdote text is minimalism, manifested in the choice of details, the number of heroes, laconic form, the volume of compositional components. It is stated that formation of the types of anecdotes took place along two lines: folk and literary. A modern anecdote, in contrast to the literary jokes of previous years, as a rule, is a speech genre, not a literary one, which determines its specificity. It is noted that anecdotes are divided into situational (subject, referential), in which the comic nature of the described situation is not related to the linguistic design, and language (linguistic), which are based on the playing out of certain linguistic phenomena. The comic effect in the latter is based on purely linguistic mechanisms and depends on the choice of the used speech means. An integral part of creating a comic effect in linguistic anecdotes is violation of certain norms, or incongruence, in the implementation of which the leading role is played by the language game. The game potential of phonetic, lexical, word-building, morphological and syntactic means, as well as precedent phenomena involved in speech works of this type are described. Particular attention is paid to punning outplaying of polysemy and various types of homonymy as one of the most popular means of creating a language joke. It is concluded that peculiarity of the game means, used for creating a humorous effect, lies in their function: they have an additional evaluative connotation, express different degrees of negative loading and take part in creating comic ambiguity in the statement.

The Journalism Agenda Guide (JAG): Proposal for Applied Research in Journalism (ARJ)

This article proposes the Journalism Agenda Guide (JAG), a technical tool for managing journalistic content. Developed from an Applied Research in Journalism (ARJ) methodology, the Guide is based on articulating concepts of Agenda Setting, Journalistic Relevance (JR), organizational productivity and Semantic Resolution (SR). The basis of the Guide is the relation between the relevance of a theme and how much space it should occupy in the news, subject to a particular organization’s production capacity. Incorporating the Guide as a tool for editorial management means adopting practices of accountability which affect both the ethical conduct an organization and its professionals adhere to and the sustainability of companies, becoming an important ally in the efforts to consolidate the credibility in journalism.

CONTEXTUAL LAND USE CLASSIFICATION: HOW DETAILED CAN THE CLASS STRUCTURE BE?

The goal of this paper is to investigate the maximum level of semantic resolution that can be achieved in an automated land use change detection process based on mono-temporal, multi-spectral, high-resolution aerial image data. For this purpose, we perform a step-wise refinement of the land use classes that follows the hierarchical structure of most object catalogues for land use databases. The investigation is based on our previous work for the simultaneous contextual classification of aerial imagery to determine land cover and land use. Land cover is determined at the level of small image segments. Land use classification is applied to objects from the geospatial database. Experiments are carried out on two test areas with different characteristics and are intended to evaluate the step-wise refinement of the land use classes empirically. The experiments show that a semantic resolution of ten classes still delivers acceptable results, where the accuracy of the results depends on the characteristics of the test areas used. Furthermore, we confirm that the incorporation of contextual knowledge, especially in the form of contextual features, is beneficial for land use classification.

CONTEXTUAL LAND USE CLASSIFICATION: HOW DETAILED CAN THE CLASS STRUCTURE BE?

The goal of this paper is to investigate the maximum level of semantic resolution that can be achieved in an automated land use change detection process based on mono-temporal, multi-spectral, high-resolution aerial image data. For this purpose, we perform a step-wise refinement of the land use classes that follows the hierarchical structure of most object catalogues for land use databases. The investigation is based on our previous work for the simultaneous contextual classification of aerial imagery to determine land cover and land use. Land cover is determined at the level of small image segments. Land use classification is applied to objects from the geospatial database. Experiments are carried out on two test areas with different characteristics and are intended to evaluate the step-wise refinement of the land use classes empirically. The experiments show that a semantic resolution of ten classes still delivers acceptable results, where the accuracy of the results depends on the characteristics of the test areas used. Furthermore, we confirm that the incorporation of contextual knowledge, especially in the form of contextual features, is beneficial for land use classification.