Using conceptual metaphor and functional grammar to explore how language used in physics affects student learning

This paper introduces a theory about the role of language in learning physics. The theory is developed in the context of physics students' and physicists' talking and writing about the subject of quantum mechanics. We found that physicists' language encodes different varieties of analogical models through the use of grammar and conceptual metaphor. We hypothesize that students categorize concepts into ontological categories based on the grammatical structure of physicists' language. We also hypothesize that students over-extend and misapply conceptual metaphors in physicists' speech and writing. Using our theory, we will show how, in some cases, we can explain student difficulties in quantum mechanics as difficulties with language.Comment: Accepted for publication in Phys. Rev. ST:PE

Big data and the SP theory of intelligence

This article is about how the "SP theory of intelligence" and its realisation in the "SP machine" may, with advantage, be applied to the management and analysis of big data. The SP system -- introduced in the article and fully described elsewhere -- may help to overcome the problem of variety in big data: it has potential as "a universal framework for the representation and processing of diverse kinds of knowledge" (UFK), helping to reduce the diversity of formalisms and formats for knowledge and the different ways in which they are processed. It has strengths in the unsupervised learning or discovery of structure in data, in pattern recognition, in the parsing and production of natural language, in several kinds of reasoning, and more. It lends itself to the analysis of streaming data, helping to overcome the problem of velocity in big data. Central in the workings of the system is lossless compression of information: making big data smaller and reducing problems of storage and management. There is potential for substantial economies in the transmission of data, for big cuts in the use of energy in computing, for faster processing, and for smaller and lighter computers. The system provides a handle on the problem of veracity in big data, with potential to assist in the management of errors and uncertainties in data. It lends itself to the visualisation of knowledge structures and inferential processes. A high-parallel, open-source version of the SP machine would provide a means for researchers everywhere to explore what can be done with the system and to create new versions of it.Comment: Accepted for publication in IEEE Acces

Natural language processing and advanced information management

Integrating diverse information sources and application software in a principled and general manner will require a very capable advanced information management (AIM) system. In particular, such a system will need a comprehensive addressing scheme to locate the material in its docuverse. It will also need a natural language processing (NLP) system of great sophistication. It seems that the NLP system must serve three functions. First, it provides an natural language interface (NLI) for the users. Second, it serves as the core component that understands and makes use of the real-world interpretations (RWIs) contained in the docuverse. Third, it enables the reasoning specialists (RSs) to arrive at conclusions that can be transformed into procedures that will satisfy the users' requests. The best candidate for an intelligent agent that can satisfactorily make use of RSs and transform documents (TDs) appears to be an object oriented data base (OODB). OODBs have, apparently, an inherent capacity to use the large numbers of RSs and TDs that will be required by an AIM system and an inherent capacity to use them in an effective way

Exploring the neurocognitive basis of language processing: the case of word classes and the key role of interface semantics

In the present paper, we address the question of the linking mechanisms of the multifactorial and graded conceptual space with the formally discrete language structures by 1) investigating the neurocognitive basis of interface semantics and 2) exploring the representation of word classes in the brain. Data from cognitive neuropsychological and brain imaging studies are discussed, and an answer is provided to certain critical aspects of the relationship between conceptual categorization and linguistic categorization. KEYWORDS: Conceptual categorization, linguistic categorization, interface semantics, word classes, cognitive neuropsychology, fMRIIn the present paper, we address the question of the linking mechanisms of the multifactorial and graded conceptual space with the formally discrete language structures by 1) investigating the neurocognitive basis of interface semantics and 2) exploring the representation of word classes in the brain. Data from cognitiveneuropsychological and brain imaging studies are discussed, and an answer is provided to certain critical aspects of the relationship between conceptual categorization and linguistic categorization. KEYWORDS: Conceptual categorization, linguistic categorization, interface semantics, word classes, cognitive neuropsychology, fMR

Verb similarity: comparing corpus and psycholinguistic data

Similarity, which plays a key role in fields like cognitive science, psycholinguistics and natural language processing, is a broad and multifaceted concept. In this work we analyse how two approaches that belong to different perspectives, the corpus view and the psycholinguistic view, articulate similarity between verb senses in Spanish. Specifically, we compare the similarity between verb senses based on their argument structure, which is captured through semantic roles, with their similarity defined by word associations. We address the question of whether verb argument structure, which reflects the expression of the events, and word associations, which are related to the speakers' organization of the mental lexicon, shape similarity between verbs in a congruent manner, a topic which has not been explored previously. While we find significant correlations between verb sense similarities obtained from these two approaches, our findings also highlight some discrepancies between them and the importance of the degree of abstraction of the corpus annotation and psycholinguistic representations.La similitud, que desempeña un papel clave en campos como la ciencia cognitiva, la psicolingüística y el procesamiento del lenguaje natural, es un concepto amplio y multifacético. En este trabajo analizamos cómo dos enfoques que pertenecen a diferentes perspectivas, la visión del corpus y la visión psicolingüística, articulan la semejanza entre los sentidos verbales en español. Específicamente, comparamos la similitud entre los sentidos verbales basados en su estructura argumental, que se capta a través de roles semánticos, con su similitud definida por las asociaciones de palabras. Abordamos la cuestión de si la estructura del argumento verbal, que refleja la expresión de los acontecimientos, y las asociaciones de palabras, que están relacionadas con la organización de los hablantes del léxico mental, forman similitud entre los verbos de una manera congruente, un tema que no ha sido explorado previamente. Mientras que encontramos correlaciones significativas entre las similitudes de los sentidos verbales obtenidas de estos dos enfoques, nuestros hallazgos también resaltan algunas discrepancias entre ellos y la importancia del grado de abstracción de la anotación del corpus y las representaciones psicolingüísticas.La similitud, que exerceix un paper clau en camps com la ciència cognitiva, la psicolingüística i el processament del llenguatge natural, és un concepte ampli i multifacètic. En aquest treball analitzem com dos enfocaments que pertanyen a diferents perspectives, la visió del corpus i la visió psicolingüística, articulen la semblança entre els sentits verbals en espanyol. Específicament, comparem la similitud entre els sentits verbals basats en la seva estructura argumental, que es capta a través de rols semàntics, amb la seva similitud definida per les associacions de paraules. Abordem la qüestió de si l'estructura de l'argument verbal, que reflecteix l'expressió dels esdeveniments, i les associacions de paraules, que estan relacionades amb l'organització dels parlants del lèxic mental, formen similitud entre els verbs d'una manera congruent, un tema que no ha estat explorat prèviament. Mentre que trobem correlacions significatives entre les similituds dels sentits verbals obtingudes d'aquests dos enfocaments, les nostres troballes també ressalten algunes discrepàncies entre ells i la importància del grau d'abstracció de l'anotació del corpus i les representacions psicolingüístiques

The Three Grammars and the Sign

This article presents an original three-component model of the linguistic sign. It shares with the established triadic models of Peirce (1955 [1897]) and Ogden & Richards (1923/1949) in identifying THOUGHT, WORD and THING as essential components; but differs in being linear, with THOUGHT and THING at opposite poles. It is argued that this arrangement reflects the way the components of the sign relate to reality and thereby serves well as an explanatory tool for linguistic research. The model is further modified at each of the ontological realms using concepts from cognitive linguistics, renamed COGNITION, LANGUAGE and REALITY. The new model is employed as a research tool in two case studies: one illustrates its use in making sense of the complex field of language grammar; the other does the same for figurative language – metaphor and metonymy. The article’s conclusions include that interrogating established cornerstones of linguistic theory in the light of new theory can lead to the development of improved research tools

Quasi-Expressivism about Statements of Law: A Hartian Theory

Speech and thought about what the law is commonly function in practical ways, to guide or assess behavior. These functions have often been seen as problematic for legal positivism in the tradition of H.L.A. Hart. One recent response is to advance an expressivist analysis of legal statements (Toh), which faces its own, familiar problems. This paper advances a rival, positivist-friendly account of legal statements which we call “quasi-expressivist”, explicitly modeled after Finlay’s metaethical theory of moral statements. This consists in a descriptivist, “rule-relational” semantics combined with a pragmatic account of the expressive and practical functions of legal discourse. We argue that this approach is at least as well-equipped as expressivism to explain the motivational and prescriptive features of “internal” legal statements, as well as a fundamental kind of legal disagreement, while being better positioned to account for various “external” uses of the same language. We develop this theory in a Hartian framework, and in the final part of the paper argue (particularly against Toh’s expressivist interpretation) that Hart’s own views in The Concept of Law are best reconstructed along such quasi-expressivist lines

Statistical parsing of morphologically rich languages (SPMRL): what, how and whither

The term Morphologically Rich Languages (MRLs) refers to languages in which significant information concerning syntactic units and relations is expressed at word-level. There is ample evidence that the application of readily available statistical parsing models to such languages is susceptible to serious performance degradation. The first workshop on statistical parsing of MRLs hosts a variety of contributions which show that despite language-specific idiosyncrasies, the problems associated with parsing MRLs cut across languages and parsing frameworks. In this paper we review the current state-of-affairs with respect to parsing MRLs and point out central challenges. We synthesize the contributions of researchers working on parsing Arabic, Basque, French, German, Hebrew, Hindi and Korean to point out shared solutions across languages. The overarching analysis suggests itself as a source of directions for future investigations