Original Lexicon Research Articles

Colexification Networks Encode Affective Meaning

Colexification is a linguistic phenomenon that occurs when multiple concepts are expressed in a language with the same word. Colexification patterns are frequently used to estimate the meaning similarity between words, but the hypothesis that these are related is still missing direct empirical validation at scale. Here, we show for the first time that words linked by colexification patterns capture similar affective meanings. Using pre-existing translation data, we extend colexification databases to cover much longer word lists. We achieve this with an unsupervised method of affective lexicon extension that uses colexification network data to interpolate the affective ratings of words that are not included in the original lexicon. We find positive correlations between network-based estimates and empirical affective ratings, which suggest that colexification networks contain information related to affective meanings. Finally, we compare our network method with state-of-the-art machine learning, trained on a large corpus, and show that our simple linguistics-informed unsupervised algorithm yields comparable performance with high explainability. These results show that it is possible to automatically expand affective norms lexica to cover exhaustive word lists when additional data are available, such as in colexification networks.

Improving the affective analysis in texts

PurposeThis paper aims to propose a method for automatically labelling an affective lexicon with intensity values by using the WordNet Similarity (WS) software package with the purpose of improving the results of an affective analysis process, which is relevant to interpreting the textual information that is available in social networks. The hypothesis states that it is possible to improve affective analysis by using a lexicon that is enriched with the intensity values obtained from similarity metrics. Encouraging results were obtained when an affective analysis based on a labelled lexicon was compared with that based on another lexicon without intensity values.Design/methodology/approachThe authors propose a method for the automatic extraction of the affective intensity values of words using the similarity metrics implemented in WS. First, the intensity values were calculated for words having an affective root in WordNet. Then, to evaluate the effectiveness of the proposal, the results of the affective analysis based on a labelled lexicon were compared to the results of an analysis with and without affective intensity values.FindingsThe main contribution of this research is a method for the automatic extraction of the intensity values of affective words used to enrich a lexicon compared with the manual labelling process. The results obtained from the affective analysis with the new lexicon are encouraging, as they provide a better performance than those achieved using a lexicon without affective intensity values.Research limitations/implicationsGiven the restrictions for calculating the similarity between two words, the lexicon labelled with intensity values is a subset of the original lexicon, which means that a large proportion of the words in the corpus are not labelled in the new lexicon.Practical implicationsThe practical implications of this work include providing tools to improve the analysis of the feelings of the users of social networks. In particular, it is of interest to provide an affective lexicon that improves attempts to solve the problems of a digital society, such as the detection of cyberbullying. In this case, by achieving greater precision in the detection of emotions, it is possible to detect the roles of participants in a situation of cyberbullying, for example, the bully and victim. Other problems in which the application of affective lexicons is of importance are the detection of aggressiveness against women or gender violence or the detection of depressive states in young people and children.Social implicationsThis work is interested in providing an affective lexicon that improves attempts to solve the problems of a digital society, such as the detection of cyberbullying. In this case, by achieving greater precision in the detection of emotions, it is possible to detect the roles of participants in a situation of cyber bullying, for example, the bully and victim. Other problems in which the application of affective lexicons is of importance are the detection of aggressiveness against women or gender violence or the detection of depressive states in young people and children.Originality/valueThe originality of the research lies in the proposed method for automatically labelling the words of an affective lexicon with intensity values by using WS. To date, a lexicon labelled with intensity values has been constructed using the opinions of experts, but that method is more expensive and requires more time than other existing methods. On the other hand, the new method developed herein is applicable to larger lexicons, requires less time and facilitates automatic updating.

NON-EPISTEMIC GENERATIVE AESTHETIC

This article is devoted to main ideas of non-epistemic generative aesthetics.This modern approach to aesthetics is unknown to Ukrainian philosophers, and nonetheless, it contains many interesting and original ideas. The thinkers, working within this trend, speculate about the basic categories of aesthetics in postmodernist-style manner. In their description of aesthetical experience, they avoid clarity, certainty and go far beyond rationality. It allows them to elaborate an original lexicon, attractive to readers who are accustomed to the paradigm of discourse. The article also describe ideas of the non-epistemic generative aesthetics in connection with positivism and psychoanalysis. Also, at the article there is considered the manifestation of these ideas in social thought, especially at the time of the spread of virtual reality. Overcoming the limits of epistemic practice can reveal new aspects of aesthetic experience. Archetypal projections of binary meanings open up new perspectives in the aesthetic field, which leads to the leveling of the established semantic values. In the era of virtualization and globalization, the spread of simulacrum sets new challenges to aesthetic thinking. Denial of the rationality of logocentrism and appealing to the intuitive level of reflection allows us to discover new possibilities in the domain of aesthetic thought. This may prove to be appealing to some aesthetic researchers whose texts go beyond the rigid norms of scientific rationality.

Involutionary Trends in Contemporary Teleut?

The article is devoted to the language situation in the dwelling points of the Teleut, an autochthonous minority Turkic variety of South Siberia. The fieldtrip data collected in 2013-2014 enable to generally conclude about the preservation rate of Teleut in different age groups and basic spheres of its use. A large impact of the predominant Russian language on Teleut is detected resulting in the big amount of lexical borrowings, which have replaced the original lexicon, and the syntactical distortion of the Teleut speech. Asymmetrical Russian-Teleut bilingualism with the prevalence of Russian is claimed the main reason of this phenomenon.

On the properties of Saramaccan FU

The formfu(variantu) fulfills several functions. It is a preposition selecting NPs and clauses, tensed or infinitival. It is a mood marker occurring either between the subject and the verb, or before the subject. It is a complementiser selected by predicates of thewant-class; as such it is in a paradigmatic relationship with other complementisers in the language. Finally, in some contexts,fuappears to function as a case marker, rather than as a preposition, as it may be associated with several thematic roles. The first objective of the paper is to provide a detailed inventory of all the functions offuand a detailed description of its properties for each of its functions. This will be done mainly on the basis of published sources. The proposal thatfucan head various syntactic projections (P, Force, Fin, Mood, Kase) will be shown to account for its multifunctional character. The second objective of the paper is to discuss the origin of the properties offu. First, we consider the grammaticalisation scenario proposed in the literature. In this scenario, the prepositionfuwould have been reanalysed as a complementiser. We argue that this scenario is not an optimal one. Second, we consider a relexification scenario along the lines of Lefebvre (1998b). Although the form of the lexical item in question is derived from Englishfor, as has been noted by several authors, most of its other properties cannot be derived from this lexical item. A comparison of the properties offuwith those of corresponding lexical items in one of the substratum languages of Saramaccan, Fongbe (e.g. Smith 1987), yields a different conclusion: while the form of the Saramaccan lexical entry is derived from English, the bulk of its semantic and syntactic properties are derived from those of corresponding substratum language lexical entries. The properties of the creole lexical entry thus appear to follow from the re lexification account of creole genesis. In this case, however, two substratum lexical entries (nú, preposition and complementiser, andní, mood marker and complementiser) appear to have been relexified on the basis of a single superstratum formfor, yielding the creole lexical entryfucumulating all the functions of the two substratum entries. Some details distinguish the creole lexical entry from the two substratum ones. It will be shown that the make up offuhas also involved some reorganisation of the original lexicon, and some innovation.