Parameterized monads in linguistics

A thesis submitted in partial fulfilment of the requirements of the University of Wolverhampton for the degree of Doctor of Philosophy.This dissertation follows the formal semantics approach to linguistics. It applies recent developments in computing theories to study theoretical linguistics in the area of the interaction between semantics and pragmatics and analyzes several natural language phenomena by parsing them in these theories. Specifically, this dissertation uses parameterized monads, a particular theoretical framework in category theory, as a dynamic semantic framework to reinterpret the compositional Discourse Representation Theory(cDRT), and to provide an analysis of donkey anaphora. Parameterized monads are also used in this dissertation to interpret information states as lists of presuppositions, and as dot types. Alternative interpretations for demonstratives and imperatives are produced, and the conventional implicature phenomenon in linguistics substantiated, using the framework. Interpreting donkey anaphora shows that parameterized monads is able to handle the sentential dependency. Therefore, this framework shows an expressive power equal to that of related frameworks such as the typed logical grammar and the dynamic predicate logic. Interpreting imperatives via parameterized monads also provides a compositional dynamic semantic analysis which is one of the main approaches to analysing imperatives

Mécanismes Orientés-Objets pour l'Interopérabilité entre Systèmes de Preuve

Dedukti is a Logical Framework resulting from the combination ofdependent typing and rewriting. It can be used to encode many logicalsystems using shallow embeddings preserving their notion of reduction.These translations of logical systems in a common format are anecessary first step for exchanging proofs between systems. Thisobjective of interoperability of proof systems is the main motivationof this thesis.To achieve it, we take inspiration from the world of programminglanguages and more specifically from object-oriented languages becausethey feature advanced mechanisms for encapsulation, modularity, anddefault definitions. For this reason we start by a shallowtranslation of an object calculus to Dedukti. The most interestingpoint in this translation is the treatment of subtyping.Unfortunately, it seems very hard to incorporate logic in this objectcalculus. To proceed, object-oriented mechanisms should be restrictedto static ones which seem enough for interoperability. Such acombination of static object-oriented mechanisms and logic is alreadypresent in the FoCaLiZe environment so we propose a shallow embeddingof FoCaLiZe in Dedukti. The main difficulties arise from theintegration of FoCaLiZe automatic theorem prover Zenon and from thetranslation of FoCaLiZe functional implementation language featuringtwo constructs which have no simple counterparts in Dedukti: localpattern matching and recursion.We then demonstrate how this embedding of FoCaLiZe to Dedukti can beused in practice for achieving interoperability of proof systemsthrough FoCaLiZe, Zenon, and Dedukti. In order to avoid strengtheningto much the theory in which the final proof is expressed, we useDedukti as a meta-language for eliminating unnecessary axioms.Dedukti est un cadre logique résultant de la combinaison du typagedépendant et de la réécriture. Il permet d'encoder de nombreuxsystèmes logiques au moyen de plongements superficiels qui préserventla notion de réduction.Ces traductions de systèmes logiques dans un format commun sont unepremière étape nécessaire à l'échange de preuves entre cessystèmes. Cet objectif d'interopérabilité des systèmes de preuve estla motivation principale de cette thèse.Pour y parvenir, nous nous inspirons du monde des langages deprogrammation et plus particulièrement des langages orientés-objetparce qu'ils mettent en œuvre des mécanismes avancés d'encapsulation,de modularité et de définitions par défaut. Pour cette raison, nouscommençons par une traduction superficielle d'un calcul orienté-objeten Dedukti. L'aspect le plus intéressant de cette traduction est letraitement du sous-typage.Malheureusement, ce calcul orienté-objet ne semble pas adapté àl'incorporation de traits logiques. Afin de continuer, nous devonsrestreindre les mécanismes orientés-objet à des mécanismes statiques,plus faciles à combiner avec la logique et apparemment suffisant pournotre objectif d'interopérabilité. Une telle combinaison de mécanismesorientés-objet et de logique est présente dans l'environnementFoCaLiZe donc nous proposons un encodage superficiel de FoCaLiZe dansDedukti. Les difficultés principales proviennent de l'intégration deZenon, le prouveur automatique de théorèmes sur lequel FoCaLiZerepose, et de la traduction du langage d'implantation fonctionnel deFoCaLiZe qui présente deux constructions qui n'ont pas decorrespondance simple en Dedukti : le filtrage de motif local et larécursivité.Nous démontrons finalement comment notre encodage de FoCaLiZe dansDedukti peut servir en pratique à l'interopérabilité entre dessystèmes de preuve à l'aide de FoCaLiZe, Zenon et Dedukti. Pour éviterde trop renforcer la théorie dans laquelle la preuve finale estobtenue, nous proposons d'utiliser Dedukti en tant que méta-langagepour éliminer des axiomes superflus

Students´ language in computer-assisted tutoring of mathematical proofs

Truth and proof are central to mathematics. Proving (or disproving) seemingly simple statements often turns out to be one of the hardest mathematical tasks. Yet, doing proofs is rarely taught in the classroom. Studies on cognitive difficulties in learning to do proofs have shown that pupils and students not only often do not understand or cannot apply basic formal reasoning techniques and do not know how to use formal mathematical language, but, at a far more fundamental level, they also do not understand what it means to prove a statement or even do not see the purpose of proof at all. Since insight into the importance of proof and doing proofs as such cannot be learnt other than by practice, learning support through individualised tutoring is in demand. This volume presents a part of an interdisciplinary project, set at the intersection of pedagogical science, artificial intelligence, and (computational) linguistics, which investigated issues involved in provisioning computer-based tutoring of mathematical proofs through dialogue in natural language. The ultimate goal in this context, addressing the above-mentioned need for learning support, is to build intelligent automated tutoring systems for mathematical proofs. The research presented here has been focused on the language that students use while interacting with such a system: its linguistic propeties and computational modelling. Contribution is made at three levels: first, an analysis of language phenomena found in students´ input to a (simulated) proof tutoring system is conducted and the variety of students´ verbalisations is quantitatively assessed, second, a general computational processing strategy for informal mathematical language and methods of modelling prominent language phenomena are proposed, and third, the prospects for natural language as an input modality for proof tutoring systems is evaluated based on collected corpora

Derivation of a parsing algorithm in martin-löf's theory of types

AbstractType Theory is a mathematical language with computation rules developed by Per Martin-Löf. Type Theory was initially developed as a formalization of constructive mathematics but Martin-Löf has pointed out that it can also be viewed as a formal system for the development of provably correct programs. Here, a parser for a simple expression language is specified and a program derived from the proof of correctness of its specification using the formalism of Type Theory. The proof is compared with a proof of the same problem formalized in the Edinburgh LCF system