The fact that Gilbert Ryle and J.L. Austin seem to disagree about the ordinary use of words such as ‘voluntary’, ‘involuntary’, ‘voluntarily’, and ‘involuntarily’ has been taken to cast doubt on the methods of ordinary language philosophy. As Benson Mates puts the worry, ‘if agreement about usage cannot be reached within so restricted a sample as the class of Oxford Professors of Philosophy, what are the prospects when the sample is enlarged?’ (Mates 1958, p. 165). In this chapter, we evaluate (...) Mates’s criticism alongside Ryle’s and Austin’s specific claims about the ordinary use of these words, assessing these claims against actual examples of ordinary use drawn from the British National Corpus (BNC). Our evaluation consists in applying a combination of methods: first aggregating judgments about a large set of samples drawn from the corpus, and then using a clustering algorithm to uncover connections between different types of use. In applying these methods, we show where and to what extent Ryle’s and Austin’s accounts of the use of the target terms are accurate as well as where they miss important aspects of ordinary use, and we demonstrate the usefulness of this new combination of methods. At the heart of our approach is a commitment to the idea that systematically looking at actual uses of expressions is an essential component of any approach to ordinary language philosophy. (shrink)

The fact that Gilbert Ryle and J.L. Austin seem to disagree about the ordinary use of words such as ‘voluntary’, ‘involuntary’, ‘voluntarily’, and ‘involuntarily’ has been taken to cast doubt on the methods of ordinary language philosophy. As Benson Mates puts the worry, ‘if agreement about usage cannot be reached within so restricted a sample as the class of Oxford Professors of Philosophy, what are the prospects when the sample is enlarged?’ (Mates, Inquiry 1:161–171, 1958, p. 165). In this chapter, (...) we evaluate Mates’s criticism alongside Ryle’s and Austin’s specific claims about the ordinary use of these words, assessing these claims against actual examples of ordinary use drawn from the British National Corpus (BNC). Our evaluation consists in applying a combination of methods: first aggregating judgments about a large set of samples drawn from the corpus, and then using a clustering algorithm to uncover connections between different types of use. In applying these methods, we show where and to what extent Ryle’s and Austin’s accounts of the use of the target terms are accurate as well as where they miss important aspects of ordinary use, and we demonstrate the usefulness of this new combination of methods. At the heart of our approach is a commitment to the idea that systematically looking at actual uses of expressions is an essential component of any approach to ordinary language philosophy. (shrink)

The availability of large digital archives of historical newspaper content has transformed the historical sciences. However, the scale of these archives can limit the direct application of advanced text processing methods. Even if it is computationally feasible to apply sophisticated language processing to an entire digital archive, if the material of interest is a small fraction of the archive, the results are unlikely to be useful. Methods for generating smaller specialized corpora from large archives are required to solve this (...) problem. This article presents such a method for historical newspaper archives digitized using the METS/ALTO XML standard (Veridian Software, n.d.). The method is an ‘iterative bootstrapping’ approach in which candidate corpora are evaluated using text mining techniques, items are manually labelled, and Naïve Bayes text classifiers are trained and applied in order to produce new candidate corpora. The method is illustrated by a case study that investigates philosophical content, broadly construed, in pre-1900 English-language New Zealand newspapers. Extensive code is provided in Supplementary Materials. (shrink)

Philosophers and linguists currently lack the means to reliably identify evaluative concepts and measure their evaluative intensity. Using a corpus-based approach, we present a new method to distinguish evaluatively thick and thin adjectives like ‘courageous’ and ‘awful’ from descriptive adjectives like ‘narrow,’ and from value-associated adjectives like ‘sunny.’ Our study suggests that the modifiers ‘truly’ and ‘really’ frequently highlight the evaluative dimension of thick and thin adjectives, allowing for them to be uniquely classified. Based on these results, we believe our (...) operationalization may pave the way for a more quantitative approach to the study of thick and thin concepts. (shrink)

We investigate claims about the frequency of "know" made by philosophers. Our investigation has several overlapping aims. First, we aim to show what is required to confirm or disconfirm philosophers’ claims about the comparative frequency of different uses of philosophically interesting expressions. Second, we aim to show how using linguistic corpora as tools for investigating meaning is a productive methodology, in the sense that it yields discoveries about the use of language that philosophers would have overlooked if they remained (...) in their "armchairs of an afternoon", to use J.L. Austin’s phrase. Third, we discuss facts about the meaning of "know" that so far have been ignored in philosophy, with the aim of reorienting discussions of the relevance of ordinary language for philosophical theorizing. (shrink)

Research in experimental philosophy has increasingly been turning to corpus methods to produce evidence for empirical claims, as they open up new possibilities for testing linguistic claims or studying concepts across time and cultures. The present article reviews the quasi-experimental studies that have been done using textual data from corpora in philosophy, with an eye for the modeling and experimental design that enable statistical inference. I find that most studies forego comparisons that could control for confounds, and that only (...) a little less than half employ statistical testing methods to control for chance results. Furthermore, at least some researchers make modeling decisions that either do not take into account the nature of corpora and of the word-concept relationship, or undermine the experiment's capacity to answer research questions. I suggest that corpus methods could both provide more powerful evidence and gain more mainstream acceptance by improving their modeling practices. (shrink)

Critics across the political spectrum have worried that ordinary uses of words like 'racist', 'sexist', and 'homophobic' are becoming conceptually inflated, meaning that these expressions are getting used so widely that they lose their nuance and, thereby, their moral force. However, the charge of conceptual inflation, as well as responses to it, are standardly made without any systematic investigation of how 'racist' and other expressions condemning oppression are actually used in ordinary language. Once we examine large linguistic corpora to (...) see how these expressions are actually used, we find that English speakers have a rich linguistic repertoire for qualifying the degree to which and dimensions along which something is racist, sexist, homophobic, and so on. These facts about ordinary usage undermine the charge of conceptual inflation. Without awareness of facts about ordinary usage, theorists risk making linguistic prescriptions that are unnecessary or counterproductive. (shrink)

The paper proposes an empirical method to investigate linguistic prescriptions as inherent corrective behaviors. The behaviors in question may but need not necessarily be supported by any explicit knowledge of rules. It is possible to gain insight into them, for example by extracting information about corrections from revision histories of texts (or by analyzing speech corpora where users correct themselves or one another). One easily available source of such information is the revision history of Wikipedia. As is shown, the (...) most frequent and short corrections are limited to linguistic errors such as typos (and editorial conventions adopted in Wikipedia). By perusing an automatically generated revision corpus, one gains insight into the prescriptive nature of language empirically. At the same time, the prescriptions offered are not reducible to descriptions of the most frequent linguistic use. (shrink)

Medieval and early modern Jewish philosophers developed their thinking in conversation with various bodies of literature. The influence of ancient Greek – primarily Aristotle (and pseudo-Aristotle) – and Arabic sources was fundamental for the very constitution of medieval Jewish philosophical discourse. Toward the late Middle Ages Jewish philosophers also established a critical dialogue with Christian scholastics. Next to these philosophical corpora, Jewish philosophers drew significantly upon Rabbinic sources (Talmud and the numerous Midrashim) and the Hebrew Bible. In order to (...) clarify the unique as well as shared elements in the thought of medieval Jewish philosophers, we will begin this chapter with a brief study of some early Rabbinic sources on the purpose of the world, i.e., why it came to be and why it is sustained in existence. In the second part of this chapter, we will study Maimonides’ critique of the veracity and usefulness of the belief in (anthropocentric) teleology, and the critical reception of his views by later philosophers. The third part will address discussions of divine teleology in Kabbalistic literature. Our exposition will concentrate mostly on a specific early-eighteenth-century text that is one of the most lucid and rigorous presentations of Lurianic Kabbalah. The fourth and final section will elucidate Spinoza’s critique of teleology, its precise target and scope, and its debt to earlier sources discussed in this chapter. (shrink)

When someone says she believes that God exists, is she expressing the same kind of mental state as when she says she thinks that a lake bigger than Lake Michigan exists⎯i.e., does she refer to the same kind of cognitive attitude in both cases? Using evidence from linguistic corpora (Study 1) and behavioral experiments (Studies 2-4), the current work provides evidence that individuals typically use the word “believe” more in conjunction with statements about religious credences and “think” more in (...) conjunction with factual statements, pointing to two different understandings of claims made with these two terms. These patterns do not appear to reflect low-level differences based on the amount of consensus surrounding a particular claim, the extent to which the truth of a particular claim is known to the participant, or linguistic differences between religious and factual statements. We discuss implications of these findings for religious cognition (e.g., as supporting the theory that religious credences are qualitatively distinct from factual beliefs) as well as cognitive processes more broadly. Finally, we relate the present findings to prior theoretical work on differences between factual belief and religious credence. (shrink)

It is a common view among philosophers of science that theoretical virtues (also known as epistemic or cognitive values), such as simplicity and consistency, play an important role in scientific practice. In this article, I set out to study the role that theoretical virtues play in scientific practice empirically. I apply the methods of data science, such as text mining and corpus analysis, to study large corpora of scientific texts in order to uncover patterns of usage. These patterns of (...) usage, in turn, might shed some light on the role that theoretical virtues play in scientific practice. Overall, the results of this empirical study suggest that scientists invoke theoretical virtues explicitly, albeit rather infrequently, when they talk about models (less than 30%), theories (less than 20%), and hypotheses (less than 15%) in their published works. To the extent that they are mentioned in scientific publications, the results of this study suggest that accuracy, consistency, and simplicity are the theoretical virtues that scientists invoke more frequently than the other theoretical virtues tested in this study. Interestingly, however, depending on whether they talk about hypotheses, theories, or models, scientists may invoke one of those theoretical virtues more than the others. (shrink)

Although philosophers have often held that causation is a purely descriptive notion, a growing body of experimental work on ordinary causal attributions using questionnaire methods indicates that it is heavily influenced by normative information. These results have been the subject of sceptical challenges. Additionally, those who find the results compelling have disagreed about how best to explain them. In this chapter, we help resolve these debates by using a new set of tools to investigate ordinary causal attributions—the methods of corpus (...) linguistics. We apply both more qualitative corpus analysis techniques and the more purely quantitative methods of distributional semantics to four target questions: Can corpus analysis provide independent support for the thesis that ordinary causal attributions are sensitive to normative information? Does the evidence coming from corpus analysis support the contention that outcome valence matters for ordinary causal attributions? Are ordinary causal attributions similar to responsibility attributions? Are causal attributions of philosophers different from causal attributions we find in corpora of more ordinary language? We argue that the results of our analyses support a positive answer to each of these questions. (shrink)

In this chapter we use methods of corpus linguistics to investigate the ways in which mathematicians describe their work as explanatory in their research papers. We analyse use of the words explain/explanation (and various related words and expressions) in a large corpus of texts containing research papers in mathematics and in physical sciences, comparing this with their use in corpora of general, day-to-day English. We find that although mathematicians do use this family of words, such use is considerably less (...) prevalent in mathematics papers than in physics papers or in general English. Furthermore, we find that the proportion with which mathematicians use expressions related to ‘explaining why’ and ‘explaining how’ is significantly different to the equivalent proportion in physics and in general English. We discuss possible accounts for these differences. (shrink)

The article presents a conceptual framework for distinguishing different sorts of heterogeneous digital materials. The hypothesis is that a wide range of heterogeneous data resources can be characterized and classified due to their particular configurations of hypertext features such as scripts, links, interactive processes, and time scalings, and that the hypertext configuration is a major but not sole source of the messiness of big data. The notion of hypertext will be revalidated, placed at the center of the interpretation of networked (...) digital media, and used in the analysis of the fast-growing amounts of heterogeneous digital collections, assemblages, and corpora. The introduction summarizes the wider background of a fast-changing data landscape. (shrink)

Lexical semantics has a problem. As Allesandro Lenci put it, the problem is that it cannot distinguish semantic from non-semantic relationships within its data. (2008, 2014). The data it relies on are patterns of co-occurrence of lexemes within linguistic corpora. But patterns of co-occurrence can reflect either our knowledge of what the world is like or our knowledge of what words mean -- matters of fact or matters of meaning. -/- In this essay, I develop a semantic theory which (...) draws this distinction in a way which makes it discernible in lexical semantics and cognitive science research. In doing so, this theory unifies truth-functional and structuralist approaches to semantics, and provides an integrated explanation of meaning and reference. -/- I base this semantic theory on linguistic dispositions to pair words with words, and to pair words with things, both based on learned patterns of association. These dispositions manifest themselves in verbal behavior, and (in Part 2) I propose a new neurophysical model to account for these dispositions which underlie both the intensional and extensional patterns in that behavior. (shrink)

Philosophical enquiry stands to benefit from the inclusion of methods from the digital humanities to study language use. Empirical studies using the methods of the digital humanities have the potential to contribute to both conceptual analysis and intuition-based enquiry, two important approaches in contemporary philosophy. Empirical studies using the methods of the digital humanities can also provide valuable metaphilosophical insights into the nature of philosophical methods themselves. The use of methods from the digital humanities in philosophy should be expected to (...) follow a similar trajectory to another attempt to introduce empirical methods in philosophy. Experimental philosophers use empirical methods from the cognitive sciences to bear on philosophical questions. At first, we should expect the main contribution of methods from the digital humanities in philosophy to be at the metaphilosophical level. Then, given the right impetus and support, we are optimistic that methods from the digital humanities can make important and sustained contributions to first-order philosophical enquiry. This chapter gives two case studies of recent studies in which methods from the digital humanities are used to address metaphilosophical questions about the use of the word ‘intuition’ and the methods of philosophy and physics. It gives three examples of contemporary first-order philosophical debates to which methods fromthe digital humanities could make an important contribution in epistemology, metaphysics and philosophy of language. The chapter discusses some methodological challenges and limitations which are of particular importance when considering the application of methods from the digital humanities in philosophy, including concerns about the demographic representativeness of widely available corpora. (shrink)

Studies on difficulties in understanding scientific terms have shown that the problem is more serious among non-Western learners. The main reasons for this are the learners' pre-existing knowledge of scientific terms, their native language incommensurability with Western languages, and the polysemy of the words used to denote scientific concepts. The current study is an analysis of the conceptualisation of scientific concepts in two culturally different languages, i.e. Arabic and French, which represent a non-Western language and a Western language respectively. Physics (...) concepts which are considered as some of the most challenging concepts for non-Western languages (Loo 2005; Aranador 2005) were selected for analysis. To this end, the terms that refer to two physics concepts, "weight" and "mass" in Arabic وَزْن (wazn) and كُتْلَة (kutla) and in French poids and masse were semantically analysed. The analysis of the concepts in both languages is informed by the prototype theory by Rosch (1973; 1975), idealised cognitive models (ICMs) by Lakoff (1987), and conceptual metaphor and conceptual metonymy by Lakoff and Johnson (2003). The data for analysis were retrieved from two comparable Arabic and French corpora, namely the ArabiCorpus and the Concordancier-Corpus Français. The results suggest that there are both similarities and differences between the Arabic and French concepts in terms of meanings, prototypes, and metaphorical as well as metonymic semantic extensions. These findings support the argument that the human conceptual system is related to our environmental and cultural experiences and also importantly, validate previous claims on the need for educators to be cognizant of the culturally relevant meanings of scientific words found in everyday language that may impede learners' understanding of scientific concepts. (shrink)

Shared conceptualization, in the sense we take it here, is as recent a notion as the Semantic Web, but its relevance for a large variety of fields requires efficient methods of extraction and representation for both quantitative and qualitative data. This notion is particularly relevant for the investigation into, and construction of, semantic structures such as knowledge bases and taxonomies, but given the required large, often inaccurate, corpora available for search we can get only approximations. We see fuzzy description (...) logic as an adequate medium for the representation of human semantic knowledge and propose a means to couple it with fuzzy semantic networks via the propositional Łukasiewicz fuzzy logic such that these suffice for decidability for queries over a semantic-knowledge base such as “to what degree of sharedness does it entail the instantiation C(a) for some concept C” or “what are the roles R that connect the individuals a and b to degree of sharedness ε.” . (shrink)

This article aims to highlight the resounding issue regarding the pandemic caused by COVID-19 in the Philippines. In hindsight, it seems that contemporary Filipinos treat its spread as a new and first disease that our society has experienced. It only reflects the inexhaustible study of Filipino pathology. So there is a tendency for the Filipino government to tarnish or not take the future pandemic seriously because apart from the lack of knowledge about pandemics, it is possible that our society does (...) not know the challenges recognized and responses done to past diseases (which is even worse than COVID-19). So I utilized the neologisms that were popular these days of COVID-19 and no doubt had entered the body of modern Filipino vocabulary and corpora. It is ensured that through this comparison, the significance of previous diseases in the Philippines can be easily traced and understood. Although the motion of the argument is reversed; the present will be used to comprehend the past. With this move, it will be proven that the neologisms I have noticed are not that new. This study focuses on re-examining Hansen’s disease or leprosy that plagued the Philippines in the early 20th century. It has created great concern and fear among Filipinos. Nearly a hundred years later, COVID-19 emerged in the early 21st century. In addition to the comparative lens presented by this study, two diseases can be identified and compared in measuring the experiences of Filipinos. Although in different epochs and intensities, both diseases have given rise to extreme fear in Filipino society. (shrink)

The current paper expands on previous work done on the influence of learners’ language and preexisting knowledge on understanding physics terminology by exploring the concept of ACCELERATION in Arabic and English. The study attempts to answer two questions: (1) what are the similarities and differences between the polysemy of Arabic تَسَارُع (tasāruʿ) (acceleration) and the polysemy of English acceleration, and (2) to what extent do prototypes and factors motivating the conceptualization of تَسَارُع (tasāruʿ) and the conceptualization of acceleration converge or (...) diverge? To this end, Arabic and English dictionaries and corpora, the ArabiCorpus (Arabic Corpus Search Tool) and the British National Corpus (BNC), were employed. The dictionaries were surveyed to explore the various meanings of تَسَارُع (tasāruʿ) and acceleration, while the ArabiCorpus and the BNC were employed to investigate the senses and to identify the most frequent collocates and so the prototypes of these terms. The meaning extension of the terms is examined on the basis of the cognitive mechanisms which appear in the corpora. Theoretically, the paper is informed by the prototype theory (Rosch, 1973; 1975), image schemas (Johnson, 1987), and conceptual metaphor (Lakoff & Johnson, 1980/2003). The results show that تَسَارُع (tasāruʿ) (acceleration) and acceleration generally overlap in terms of polysemy, prototype, and images schemas as well as conceptual metaphor that organize the conceptualization of these terms. It was also found that both Arab and English speakers mix ACCELERATION up with SPEED and so misunderstand them in a scientific setting. The present findings have several implications for science curriculum design, education, and research on universal and culture-specific properties of language. (shrink)

The present paper aims to broaden the current understanding of students’ misconception of scientific terminology by identifying the gaps between Arabic and English scientific terminologies and between everyday language and scientific language. The paper compares the polysemy, prototypes, and motivating factors of English energy with those of Arabic طَاقَة (ṭāqa), with more focus on students’ prior knowledge. The study employs Lakoff’s (1987) idealized cognitive models and Rosch’s (1975) prototype theory to reveal the radial members of both categories, i.e., energy and (...) طَاقَة (ṭāqa), and to explain the kinds of cognitive mechanisms that motivate the extension as well as understanding of the meanings of these terms. To this end, the study uses several English and Arabic dictionaries, lexical databases and corpora. This is to explore all the meanings, prototypes and motivating factors of the terms under investigation. The results show that the terms energy and طَاقَة (ṭāqa) overlap in prototypical meanings and motivating factors but differ in less prototypical and peripheral meanings. English and Arabic learners may then face similar issues in learning scientific concepts due to the difference between their pre-existing knowledge and scientific language. (shrink)

A consumer health information system must be able to comprehend both expert and non-expert medical vocabulary and to map between the two. We describe an ongoing project to create a new lexical database called Medical WordNet (MWN), consisting of medically relevant terms used by and intelligible to non-expert subjects and supplemented by a corpus of natural-language sentences that is designed to provide medically validated contexts for MWN terms. The corpus derives primarily from online health information sources targeted to consumers, and (...) involves two sub-corpora, called Medical FactNet (MFN) and Medical BeliefNet (MBN), respectively. The former consists of statements accredited as true on the basis of a rigorous process of validation, the latter of statements which non-experts believe to be true. We summarize the MWN / MFN / MBN project, and describe some of its applications. (shrink)

In recent decades, the analysis of phraseology has made use of the exploration of large corpora as a source of quantitative information about language. This paper intends to present the main lines of work in progress based on this empirical approach to linguistic analysis. In particular, we focus our attention on some problems relating to the morpho-syntactic annotation of corpora. The CORIS/CODIS corpus of contemporary written Italian, developed at CILTA – University of Bologna (Rossini Favretti 2000; Rossini Favretti, (...) Tamburini, De Santis in press), is a synchronic 100-million-word corpus and is being lemmatised and annotated with part-of-speech (POS) tags, in order to increase the quantity of information and improve data retrieval procedures (Tamburini 2000). The aim of POS tagging is to assign each lexical unit to the appropriate word class. Usually the set of tags is pre-established by the linguist, who uses his/her competence to identify the different word classes. The very first experiments we made revealed how the traditional part-of-speech distinctions in Italian (generally based on morphological and semantic criteria) are often inadequate to represent the syntactic features of words in context. It is worth noting that the uncertainties in categorisation contained in Italian grammars and dictionaries reflect a growing difficulty as they move from fundamental linguistic classes, such as nouns and verbs, to more complex classes, such as adverbs, pronouns, prepositions and conjunctions. This latter class, that groups together elements traditionally used to express connections between sentences, appears inadequate when describing cohesive relations in Italian. This phenomenon actually seems to involve other elements traditionally assigned to different classes, such as adverbs, pronouns and interjections. Recent studies proposed the class of ‘connectives’, grouping all words that, apart from their traditional word class, have the function of connecting phrases and contributing to textual cohesion. From this point of view, conjunctions can be considered as part of phrasal connectives, that can in turn be included in the wider category of textual connectives. The aim of this study is to identify elements that can be included in the class of phrasal connectives, using quantitative methods. According to Shannon and Weaver’s (1949) observation that words are linked by dependent probabilities, corroborated by Halliday’s (1991) argument that the grammatical “system” (in Firth’s sense of the term) is essentially probabilistic, quantitative data are introduced in order to provide evidence of relative frequencies. Section 2 presents a description of word-class categorisation from the point of view of grammars and dictionaries arguing that the traditional category of conjunctions is inadequate for capturing the notion of phrasal connective. Section 3 examines the notion of ‘connective’ and suggests a truth-function interpretation of connective behaviour. Section 4 describes the quantitative methods proposed for analysing the distributional properties of lexical units, and section 5 comments on the results obtained by applying such methods drawing some provisional conclusions. (shrink)

In real-time, Twitter strongly imprints world events, popular culture, and the day-to-day; Twitter records an ever growing compendium of language use and change; and Twitter has been shown to enable certain kinds of prediction. Vitally, and absent from many standard corpora such as books and news archives, Twitter also encodes popularity and spreading through retweets. Here, we describe Storywrangler, an ongoing, day-scale curation of over 100 billion tweets containing around 1 trillion 1-grams from 2008 to 2020. For each day, (...) we break tweets into 1-, 2-, and 3-grams across 150+ languages, record usage frequencies, and generate Zipf distributions. We make the data set available through an interactive time series viewer, and as downloadable time series and daily distributions. We showcase a few examples of the many possible avenues of study we aim to enable including how social amplification can be visualized through ‘contagiograms’. (shrink)

In a series of early essays, beginning with "Must We Mean What We Say?", Stanley Cavell offers a sustained response to the argument that ordinary language philosophy is nothing more than amateur linguistics, carried out from the armchair -- so that philosophers' claims about "what we say", and what we mean when we say it, are necessarily in need of proper empirical support. The present paper provides a close reading of Cavell and a defense of his argument that, since a (...) philosopher's descriptions of our use of words are supposed to be an expression of *self*-knowledge, they do not require, and indeed cannot possibly find, any empirical justification. This does not guarantee that these descriptions are immune to error, nor does it mean they describe a different range of facts from the ones that are the subject-matter of linguistics and lexicography. Nor, finally, does it follow from this argument that observation of the facts of ordinary usage, as revealed e.g. in linguistic corpora, is of no use to the philosopher of ordinary language. I close with a brief discussion of what the shared nature of linguistic communication shows about how to understand the "we" in "what we say". (shrink)

dynamic ontologies must be inferred and populated in part from the reference corpora themselves, but ontological rela-.

This qualitative study employing the sentiment analysis method uncovered the people's sentiments on the appointment of Vice-President Sara Z Duterte as the Secretary of the Department of Education. The comments from the Facebook online news platforms were used as the corpora of this study. Results revealed that the appointment of Vice-President Sara Z. Duterte as the Department of Education Secretary received 79% positive sentiments, 11% negative sentiments, and 10% neutral sentiments from the people. This indicates that most people responded (...) favorably to the appointment of Vice President Sara Z. Duterte to the position of Secretary of the Department of Education. This suggests that people believed Vice President Duterte's ability to lead the Education Department and bring about significant changes within the department. (shrink)

Objective. Study of the validity and reliability of the discourse approach for the psycholinguistic understanding of the nature, structure, and features of the linguistic consciousness functioning. -/- Materials & Methods. This paper analyzes artificial neural network models built on the corpus of texts, which were obtained in the process of experimental research of the coronavirus quarantine concept as a new category of linguistic consciousness. The methodology of feedforward artificial neural networks (multilayer perceptron) was used in order to assess the possibility (...) of predicting the leading texts semantics based on the discourses ranks and their place in the respective linear sequence. Same baseline parameters were used to predict respondents' self-assessments of changes in their psychological well-being and in daily life routine during the quarantine, as well as to predict their preferences of the quarantine strategies. The study relied on basic ideas about discourse as a meaning constituted by the dispersion of other meanings (Foucault). The same dispersion mechanism realizes itself in interdiscourse interaction, forming a discursive formation at a higher level. The method of T-units (Hunt) was used to identify and count discourses in the texts. The ranking of discourses was provided based on the criterion of their semantic-syntactic autonomy. -/- Results. The conducted neural network modeling revealed a high accuracy in predicting the work of the linguistic consciousness functions associated with retrospective self-assessment and anticipatory imagination of the respondents. Another result of this modeling is a partial confirmation of the assumption concerning existence a relationship between the structural parameters of the discursive field (the rank of the discourses and their place in the respective linear sequence) and the leading semantics of the text. -/- Conclusions. A discourse approach to the study of linguistic consciousness, understanding of its structure and functioning features seems to be reasonably appropriate. The implementation of the approach presupposes the need to form a base of linguistic corpora with the inclusion in each text markup of such parameters as: the presence of specific discourses, their ranks, positions in the linear sequence of discourses. (shrink)

We take em-dash as our sample punctuation mark and examine its usage from a discourse perspective, using sentences from well-known corpora. We particularly comment on how dashes can give hints on information structure, focus, and anaphora. Throughout the paper Discourse Representation Theory is used as a framework.

Menas is a term that has attracted a great deal of attention on the political scene in Spain at present. Although the term had a neutral usage originally, being an acronym for unaccompanied foreign minors, it has recently evolved into a term with clear negative connotations. This article explores what kind of term menas is today. Specifically, we will examine whether menas is a slur or an ESTI, an ethnic/social term used as an insult. First, we point out the most (...) defining characteristics of both types of terms. Then, using analyses on linguistic corpora, we show that menas exhibits the most defining characteristics of ESTIs. We end by discussing the possible evolution of the term, pointing out that, although the term presents the features related to ESTIs, there are two possible scenarios. On the one hand, the term may retain its neutral uses and thus remain an ESTI. On the other hand, the neutral uses may disappear, and thus the term may become a slur. (shrink)

Barcelona en Comú, the feminist political platform currently running the city of Barcelona, is cultivating a Smart Feminist City aiming to put technology at the service of the people rather than, for example, selling citizen data to corpora- tions. This paper extends Elizabeth Grosz’s theorisation of the Bodies-Cities inter- face to a Bodies-Cities-Technologies interface to think through the implications of the ways in which a feminist city such as Barcelona is reversing the neoliberal Smart City paradigm through its harnessing (...) of technology to use for the common good and to challenge social discrimination. In doing so, this paper prompts us to think through the implications of these changes on the production of subjectivities through the Bodies-Cities-Technologies interface. (shrink)

The paper explores the role of competing notions of what does it mean to have a testament of the law of the past in Christian and Rabbinic corpora of text and thought. The argument probes and renegotiates the complex relationships of the Christian suspension of Old Testament by the New Testament and the Rabbinic suspension of new testament in the two Talmudim. It consequently draws implications of that analysis for understanding the relationships of the two Talmudim to the tradition (...) of hermeneutics of texts, as influenced as the latter has been by theological and literary approaches of various Christian theologies of the two Testaments. As a part of that analysis the articles justifies the task of advancing and providing a critique of political theology and political philology as modes of thought and investigation. That provides a way to ask anew the question about relationships between theology, literary theory, and political thought. (shrink)

How political opinions are spread on social media has been the subject of many academic researches recently, and rightly so. Social platforms give researchers a unique opportunity to understand how public discourses are perceived, owned and instrumentalized by the general public. This paper is instead focussing on the political discourses themselves, and how a specific machine learning technique - vector space models (VSMs) -, can be used to make systematic and more objective discourse analysis. Political footprints are vector-based representation of (...) a political discourse in which each vector represents a word, they are produced thanks to the training of the English lexicon on large corpora of text. This paper describes a simple implementation of political footprints, some heuristics on how to use them, and their application to four cases: the U.N. Kyoto Protocol and Paris Agreement, the 2008 and 2016 U.S. presidential elections. The reader will be given some reasons to believe that political footprints produce meaningful results, suggestions on how to improve them and validate the results. (shrink)