Language and Embodiment: sensory-motor and linguistic-social experience. Evidence on sentence comprehension

In this work I address the study of language comprehension in an “embodied” framework. Firstly I show behavioral evidence supporting the idea that language modulates the motor system in a specific way, both at a proximal level (sensibility to the effectors) and at the distal level (sensibility to the goal of the action in which the single motor acts are inserted). I will present two studies in which the method is basically the same: we manipulated the linguistic stimuli (the kind of sentence: hand action vs. foot action vs. mouth action) and the effector by which participants had to respond (hand vs. foot vs. mouth; dominant hand vs. non-dominant hand). Response times analyses showed a specific modulation depending on the kind of sentence: participants were facilitated in the task execution (sentence sensibility judgment) when the effector they had to use to respond was the same to which the sentences referred. Namely, during language comprehension a pre-activation of the motor system seems to take place. This activation is analogous (even if less intense) to the one detectable when we practically execute the action described by the sentence. Beyond this effector specific modulation, we also found an effect of the goal suggested by the sentence. That is, the hand effector was pre-activated not only by hand-action-related sentences, but also by sentences describing mouth actions, consistently with the fact that to execute an action on an object with the mouth we firstly have to bring it to the mouth with the hand. After reviewing the evidence on simulation specificity directly referring to the body (for instance, the kind of the effector activated by the language), I focus on the specific properties of the object to which the words refer, particularly on the weight. In this case the hypothesis to test was if both lifting movement perception and lifting movement execution are modulated by language comprehension. We used behavioral and kinematics methods, and we manipulated the linguistic stimuli (the kind of sentence: the lifting of heavy objects vs. the lifting of light objects). To study the movement perception we measured the correlations between the weight of the objects lifted by an actor (heavy objects vs. light objects) and the esteems provided by the participants. To study the movement execution we measured kinematics parameters variance (velocity, acceleration, time to the first peak of velocity) during the actual lifting of objects (heavy objects vs. light objects). Both kinds of measures revealed that language had a specific effect on the motor system, both at a perceptive and at a motoric level. Finally, I address the issue of the abstract words. Different studies in the “embodied” framework tried to explain the meaning of abstract words The limit of these works is that they account only for subsets of phenomena, so results are difficult to generalize. We tried to circumvent this problem by contrasting transitive verbs (abstract and concrete) and nouns (abstract and concrete) in different combinations. The behavioral study was conducted both with German and Italian participants, as the two languages are syntactically different. We found that response times were faster for both the compatible pairs (concrete verb + concrete noun; abstract verb + abstract noun) than for the mixed ones. Interestingly, for the mixed combinations analyses showed a modulation due to the specific language (German vs. Italian): when the concrete word precedes the abstract one responses were faster, regardless of the word grammatical class. Results are discussed in the framework of current views on abstract words. They highlight the important role of developmental and social aspects of language use, and confirm theories assigning a crucial role to both sensorimotor and linguistic experience for abstract words.

The notion of equivalence and lexical cohesion in the translation of political speeches

Abstract This dissertation investigates the notion of equivalence with particular reference to lexical cohesion in the translation of political speeches. Lexical cohesion poses a particular challenge to the translators of political speeches and thus preserving lexical cohesion elements as one of the major elements of cohesion is undoubtedly crucial to their translation equivalence. We rely on Halliday’s (1994) classification of lexical cohesion which comprises: repetition, synonymy, antonymy, meronymy and hyponymy. Other traditional models of lexical cohesion are examined. We include Grammatical Parallelism for its role in creating textual semantic unity which is what cohesion is all about. The study shed light on the function of lexical cohesion elements as rhetorical device. The study also deals with lexical problems resulting from the transfer of lexical cohesion elements from the SL into the TL, which is often beset by many problems that most often result from the differences between languages. Three key issues are identified as being fundamental to equivalence and lexical cohesion in the translation of political speeches: sociosemiotic approach, register analysis, rhetoric, and poetic function. The study also investigates the lexical cohesion elements in the translation of political speeches from English into Arabic, Italian and French in relation to ideology, and its control, through bias and distortion. The findings are discussed, implications examined and topics for further research suggested.

Machine-learning methods for structure prediction of β-barrel membrane proteins

Different types of proteins exist with diverse functions that are essential for living organisms. An important class of proteins is represented by transmembrane proteins which are specifically designed to be inserted into biological membranes and devised to perform very important functions in the cell such as cell communication and active transport across the membrane. Transmembrane β-barrels (TMBBs) are a sub-class of membrane proteins largely under-represented in structure databases because of the extreme difficulty in experimental structure determination. For this reason, computational tools that are able to predict the structure of TMBBs are needed. In this thesis, two computational problems related to TMBBs were addressed: the detection of TMBBs in large datasets of proteins and the prediction of the topology of TMBB proteins. Firstly, a method for TMBB detection was presented based on a novel neural network framework for variable-length sequence classification. The proposed approach was validated on a non-redundant dataset of proteins. Furthermore, we carried-out genome-wide detection using the entire Escherichia coli proteome. In both experiments, the method significantly outperformed other existing state-of-the-art approaches, reaching very high PPV (92%) and MCC (0.82). Secondly, a method was also introduced for TMBB topology prediction. The proposed approach is based on grammatical modelling and probabilistic discriminative models for sequence data labeling. The method was evaluated using a newly generated dataset of 38 TMBB proteins obtained from high-resolution data in the PDB. Results have shown that the model is able to correctly predict topologies of 25 out of 38 protein chains in the dataset. When tested on previously released datasets, the performances of the proposed approach were measured as comparable or superior to the current state-of-the-art of TMBB topology prediction.

Catálogo y estudio de las gramáticas de italiano para hispanohablantes: siglos XVIII y XIX

El objetivo de la presente investigación, el catálogo y estudio de las gramáticas de italiano destinadas a hispanohablantes de los siglos XVIII y XIX, se encuadra en el macrosector gramaticográfico de la historiografía lingüística, en el cual el estudio de las gramáticas de las lenguas dirigidas a hablantes nativos y a hablantes extranjeros, con los consiguientes cruces y trasvases de tradiciones gramaticales, es de significativo interés como destacan: (i) las tesis doctorales defendidas en los últimos quince años; (ii) los proyectos de investigación dirigidos y coordinados por prestigiosos estudiosos del sector; (iii) los congresos organizados para destacar y compartir las principales actualizaciones en torno a los estudios gramaticográficos; y (iv) las publicaciones que surgen de los tres puntos anteriores. El estudio presenta dos partes centrales: la primera (constituida por los capítulos 2 y 3) es la de catálogo y estudio de las diecinueve gramáticas que conforman el corpus en base a ocho áreas descriptivas (1. información catalográfica, 2. autor, 3. editor, 4. hiperestructura, 5. elementos peritextuales, gramaticales y didácticos, 6. variedad de textos y su secuencia didáctica, 7. caracterización, fuentes e influencias, y 8. localización); la segunda (capítulo 4) es la de estudio gramaticográfico de conjunto de los datos más relevantes de las areas de estudio utilizadas en las dos primeras partes. De este modo, daremos un panorama de conjunto sobre (i) la cronología de las obras y sus ediciones y rempresiones; (ii) la nacionalidad, profesión, condición religiosa, etc. de autores; (iii) la geografía de ediciones y editores; (iv) la descripción hiperestructural de las obras; (v) la estructura de los elementos peritextuales; (vi) las partes gramaticales y elementos que las componen; (vii) el verbo: definiciones y paradigma verbal; (vii) los elementos didácticos; (viii) las líneas de descripción gramatical; (ix) la localización de las gramáticas en las bibliotecas españolas.

Machine learning tools for protein annotation: the cases of transmembrane β-barrel and myristoylated proteins

Biology is now a “Big Data Science” thanks to technological advancements allowing the characterization of the whole macromolecular content of a cell or a collection of cells. This opens interesting perspectives, but only a small portion of this data may be experimentally characterized. From this derives the demand of accurate and efficient computational tools for automatic annotation of biological molecules. This is even more true when dealing with membrane proteins, on which my research project is focused leading to the development of two machine learning-based methods: BetAware-Deep and SVMyr. BetAware-Deep is a tool for the detection and topology prediction of transmembrane beta-barrel proteins found in Gram-negative bacteria. These proteins are involved in many biological processes and primary candidates as drug targets. BetAware-Deep exploits the combination of a deep learning framework (bidirectional long short-term memory) and a probabilistic graphical model (grammatical-restrained hidden conditional random field). Moreover, it introduced a modified formulation of the hydrophobic moment, designed to include the evolutionary information. BetAware-Deep outperformed all the available methods in topology prediction and reported high scores in the detection task. Glycine myristoylation in Eukaryotes is the binding of a myristic acid on an N-terminal glycine. SVMyr is a fast method based on support vector machines designed to predict this modification in dataset of proteomic scale. It uses as input octapeptides and exploits computational scores derived from experimental examples and mean physicochemical features. SVMyr outperformed all the available methods for co-translational myristoylation prediction. In addition, it allows (as a unique feature) the prediction of post-translational myristoylation. Both the tools here described are designed having in mind best practices for the development of machine learning-based tools outlined by the bioinformatics community. Moreover, they are made available via user-friendly web servers. All this make them valuable tools for filling the gap between sequential and annotated data.

Un commento a Lucrezio, De rerum natura 6.703-1089

La tesi consiste in un commento scientifico ai versi 703-1089 del VI libro di Lucrezio, dove sono discussi vari mirabilia della natura (le piene estive del Nilo, i luoghi Averni, l’escursione termica dei pozzi, alcune fonti prodigiose e il magnete). Nell’introduzione, si traccia una rapida panoramica del VI libro per contestualizzare al suo interno il passo oggetto del commento; ci si concentra, poi, sul significato della meraviglia e del meraviglioso nell’opera, anche a confronto con la tradizione paradossografica. Seguono il testo, corredato di un sintetico apparato critico, e la traduzione. Nel commento, che intende valorizzare il côté letterario, filosofico e scientifico dell’opera, sono affrontati i più rilevanti problemi testuali ed esegetici, oltre a questioni di ordine grammaticale, linguistico, stilistico e metrico. Chiudono il lavoro due appendici di natura critico-testuale.

Le contexte linguistique et la tradition de langue hebraïque de la Secunda (deuxième colonne des Hexaples d'Origène)

Le terme Secunda désigne la deuxième colonne de la synopse hexaplaire d’Origène. Cette synopse comportait six colonnes, d’où le nom Hexapla utilisé pour la désigner : la première contenait le texte hébreu original de l’Ancien Testament, la deuxième (Secunda) sa transcription phonétique en caractères grecs, les quatre autres les différentes traductions grecques de la Bible. La présence de graphèmes de vocaliques grecs dans la Secunda permet de mener une étude grammaticale complète de cette source, d’un point de vue phonétique et morphologique. Il manque encore actuellement une recherche qui développe le rapport entre la tradition hébraïque de la Secunda, telle qu’elle ressort de la transcription, et les autres traditions hébraïques attestées : celles sans graphèmes vocaliques (c’est-à-dire la tradition samaritaine et le corpus qumranien) et les traditions plus tardives et vocalisées pendant la période médiévale (les traditions massorétique tibérienne, babylonienne et palestinienne). Ce dernier point est précisément l’objet de cette thèse, qui vise à mieux comprendre le statut de l’hébreu de la Secunda, ses relations avec les autres traditions hébraïques et sa place dans l’histoire de la langue. Cette question est abordée à travers différentes étapes : en partant d’une étude phonétique et morphologique de la langue hébraïque de la colonne, on arrive à une hypothèse de datation qui permet une comparaison directe entre l’hébreu hexaplaire et les autres traditions mentionnées ci-dessus. La comparaison entre la Secunda et les autres traditions est cruciale pour situer correctement la Secunda dans l’histoire de la langue hébraïque : au niveau synchronique, elle permet de mettre en évidence ses éléments dialectaux, documentés dans les transcriptions de la Secunda et dans les traditions de la même époque ; au niveau diachronique, elle fournit des terminus ante ou post quem pour des phénomènes bien attestés dans les traditions tardives.