What does current generative theory have to say about the explicit-implicit debate?

Taking a generative perspective, we divide aspects of language into three broad categories: those that cannot be learned (are inherent in Universal Grammar), those that are derived from Universal Grammar, and those that must be learned from the input. Using this framework of language to clarify the “what” of learning, we take the acquisition of null (and overt) subjects in languages like Spanish as an example of how to apply the framework. We demonstrate what properties of a null-subject grammar cannot be learned explicitly, which properties can, but also argue that it is an open empirical question as to whether these latter properties are learned using explicit processes, showing how linguistic and psychological approaches may intersect to better understand acquisition.

A evolução da noção de parâmetros

This paper presents an overview of the concept of parameter in the Principles and Parameters theory, showing that a) in the first stage parameters were conceived as variation associated to the Principles and b) in the second stage as properties of the lexicon, and more specifically as properties of functional categories. The latter view has also developed from a substantive conception of functional categories to a more formal abstract characterization of functional heads. The paper also discusses parameters related to different levels of representation.

Estruturas factivas e padrões de extração

This paper investigates the relationship between structural and semantic properties of factive sentences and the pattern of extraction exhibited. It is argued that a classification as weak or strong island is unfeasible for what has been termed Factive Island. The kinds of structures allowed as factive complements are analyzed as well as their corresponding behavior concerning extraction. The common feature these structures show is their presuppositional character, which is derived from a selection requirement. I assume that factive predicates select a [+ specific] complement. The differences showed concerning extraction constitute a spontaneous effect from the structural way each construction may satisfy this requirement.

Construções com tópico marcado em cartas pessoais brasileiras dos séculos XVIII, XIX E XX

This dissertation is a research on the marked topic construction (CT) in Brazilian personal letters from eighteenth, nineteenth and twentieth centuries. The goal of our research is to verify if CT are present in the writing of Brazilians born in the centuries in question. Our research focus is based on the assumptions of generative theory (CHOMSKY 1981; 1986), which states that grammar is internalized in the mind / brain of the writers, with the emphasis on studies of grammatical change, as pointed texts by Paixão de Sousa (2004), Carneiro (2005); Galves, Namiuti and Paixão de Sousa (2006) and Martins (2009). Our corpus was extracted from Projeto Para a História do Português Brasileiro (PHPB) and Cartas Brasileiras coletânea de fontes para o estudo do português. We selected forty-six correspondents who should be inserted into the two criteria set out in this research: to be Brazilian and be born in the centuries mentioned above, so that we could find legitimate topic constructions of PB. This work is based on researches by Pontes (1987), Mateus et al. (2003), Araujo (2006, 2009), Berlinck, Duarte and Oliveira (2009), which actively support us in the study of this linguistic phenomenon in Portuguese. The results show that the marked topic construction in our corpus appear on the writing of Brazilians since the second half of the eighteenth century, while the typical constructions in Brazilian Portuguese locative topic, subject topic and copy topic - are already reflected in the I-language of the writers born in the second half of the nineteenth century and the first of the twentieth century

Integração das estruturas de complementação oracional no português brasileiro

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Artigos e possessivos na história do português paulista

Esta dissertação teve como objetivo articular um estudo do determinante diante das formas possessivas com base em um corpus histórico jornalístico composto de anúncios e cartas de leitores e redatores extraídos de jornais paulistas do século XIX. Focalizamos as formas possessivas seu/seus/sua/suas pré-nominais, observando a presença versus ausência do artigo definido e seus diferentes contextos. Nossas hipóteses buscaram resolver algumas questões teóricas relacionadas à estrutura do DP possessivo no PB, entre elas a da opcionalidade aparente do determinante e a da variação na realização de Número no interior da estrutura. Desenvolvemos respostas e análises às questões a partir da associação de dois quadros teóricos: a teoria dos Princípios & Parâmetros (CHOMSKY 1981, 1986) incluindo alguns refinamentos do Programa Minimalista (CHOMSKY 1995, 1998, 2000, 2001, 2004), e os pressupostos elaborados dentro da Sociolinguística Variacionista (cf. WEINREICH, LABOV e HERZOG (WLH) (1968); LABOV (1972, 1994, 2000)). Consideramos também estudos posteriores que conciliaram a mudança paramétrica internalista da língua (ROBERTS (2007)) com fatores extragramaticais que determinam o percurso das formas linguísticas no tempo histórico (KROCH (1989, 1994, 2000)). Para o estudo da estrutura do DP possessivo usamos a análise sobre os Bare Nouns de Cyrino & Espinal (2014). Os resultados obtidos mostraram que a média geral de ausência do determinante diante de DPs possessivos se manteve a mesma nos dois períodos analisados, configurando uma variação estável. Concluímos que não houve, portanto, indícios de oscilação no uso de uma ou outra variante que pudesse demonstrar o avanço de uma delas em detrimento de outra.

Motivating film title translation: a cognitive análisis

This proposal is a non-quantitative study based on a corpus of real data which offers a principled account of the translation strategies employed in the translation of English film titles into Spanish in terms of cognitive modeling. More specifically, we draw on Ruiz de Mendoza and Galera’s (2014) work on what they term content (or low-level) cognitive operations, based on either ‘stands for’ or ‘identity’ relations, in order to investigate possible motivating factors for translations which abide by oblique procedures, i.e. for non-literal renderings of source titles. The present proposal is made in consonance with recent findings within the framework of Cognitive Linguistics (Samaniego 2007), which evidence that this linguistic approach can fruitfully address some relevant issues in Translation Studies, the most outstanding for our purposes being the exploration of the cognitive operations which account for the use of translation strategies (Rojo and Ibarretxe-Antuñano 2013: 10), mainly expansion and reduction operations, parameterization, echoing, mitigation and comparison by contrast. This fits in nicely with a descriptive approach to translation and particularly with skopos theory, whose main aim consists in achieving functionally adequate renderings of source texts.

Instrumental Fado: a generative interactive system

Fado was listed as UNESCO Intangible Cultural Heritage in 2011. This dissertation describes a theoretical model, as well as an automatic system, able to generate instrumental music based on the musics and vocal sounds typically associated with fado’s practice. A description of the phenomenon of fado, its musics and vocal sounds, based on ethnographic, historical sources and empirical data is presented. The data includes the creation of a digital corpus, of musical transcriptions, identified as fado, and statistical analysis via music information retrieval techniques. The second part consists in the formulation of a theory and the coding of a symbolic model, as a proof of concept, for the automatic generation of instrumental music based on the one in the corpus.

Generative acts: Family and community involvement of older Australians

The article adopts a developmental approach to successful human aging by exploring the concept of generativity in relation to a study of older Australians' lived experiences of involvement in the family and community. Qualitative data, collected through focus group interviews, were analyzed interpretively using recent developments in Erikson's theory of generativity as a framework. As a result, the present study contributes an in-depth understanding of the role of generative acts to the lives of older people. The data provide illustrative support for Erikson's contention of a generativity/stagnation crisis in later life. Involvement in the family and community is seen as a productive and generative activity, which promotes a positive experience of aging. Two further emergent themes are also explored. First, the experiences of study participants illustrate the reciprocal and cyclical nature of grand-generativity, and the importance of intergenerational relationships. Finally, the data contribute to our knowledge of cultural generativity, and in particular the passing on of cultural knowledge through narratives and modeling.

Asymptotic theory of time varying networks with memory and heterogeneous activation pattern

In this thesis work we develop a new generative model of social networks belonging to the family of Time Varying Networks. The importance of correctly modelling the mechanisms shaping the growth of a network and the dynamics of the edges activation and inactivation are of central importance in network science. Indeed, by means of generative models that mimic the real-world dynamics of contacts in social networks it is possible to forecast the outcome of an epidemic process, optimize the immunization campaign or optimally spread an information among individuals. This task can now be tackled taking advantage of the recent availability of large-scale, high-quality and time-resolved datasets. This wealth of digital data has allowed to deepen our understanding of the structure and properties of many real-world networks. Moreover, the empirical evidence of a temporal dimension in networks prompted the switch of paradigm from a static representation of graphs to a time varying one. In this work we exploit the Activity-Driven paradigm (a modeling tool belonging to the family of Time-Varying-Networks) to develop a general dynamical model that encodes fundamental mechanism shaping the social networks' topology and its temporal structure: social capital allocation and burstiness. The former accounts for the fact that individuals does not randomly invest their time and social interactions but they rather allocate it toward already known nodes of the network. The latter accounts for the heavy-tailed distributions of the inter-event time in social networks. We then empirically measure the properties of these two mechanisms from seven real-world datasets and develop a data-driven model, analytically solving it. We then check the results against numerical simulations and test our predictions with real-world datasets, finding a good agreement between the two. Moreover, we find and characterize a non-trivial interplay between burstiness and social capital allocation in the parameters phase space. Finally, we present a novel approach to the development of a complete generative model of Time-Varying-Networks. This model is inspired by the Kaufman's adjacent possible theory and is based on a generalized version of the Polya's urn. Remarkably, most of the complex and heterogeneous feature of real-world social networks are naturally reproduced by this dynamical model, together with many high-order topological properties (clustering coefficient, community structure etc.).

GTM: the generative topographic mapping

This thesis describes the Generative Topographic Mapping (GTM) --- a non-linear latent variable model, intended for modelling continuous, intrinsically low-dimensional probability distributions, embedded in high-dimensional spaces. It can be seen as a non-linear form of principal component analysis or factor analysis. It also provides a principled alternative to the self-organizing map --- a widely established neural network model for unsupervised learning --- resolving many of its associated theoretical problems. An important, potential application of the GTM is visualization of high-dimensional data. Since the GTM is non-linear, the relationship between data and its visual representation may be far from trivial, but a better understanding of this relationship can be gained by computing the so-called magnification factor. In essence, the magnification factor relates the distances between data points, as they appear when visualized, to the actual distances between those data points. There are two principal limitations of the basic GTM model. The computational effort required will grow exponentially with the intrinsic dimensionality of the density model. However, if the intended application is visualization, this will typically not be a problem. The other limitation is the inherent structure of the GTM, which makes it most suitable for modelling moderately curved probability distributions of approximately rectangular shape. When the target distribution is very different to that, theaim of maintaining an `interpretable' structure, suitable for visualizing data, may come in conflict with the aim of providing a good density model. The fact that the GTM is a probabilistic model means that results from probability theory and statistics can be used to address problems such as model complexity. Furthermore, this framework provides solid ground for extending the GTM to wider contexts than that of this thesis.

Incorporating social role theory into topic models for social media content analysis

In this paper, we explore the idea of social role theory (SRT) and propose a novel regularized topic model which incorporates SRT into the generative process of social media content. We assume that a user can play multiple social roles, and each social role serves to fulfil different duties and is associated with a role-driven distribution over latent topics. In particular, we focus on social roles corresponding to the most common social activities on social networks. Our model is instantiated on microblogs, i.e., Twitter and community question-answering (cQA), i.e., Yahoo! Answers, where social roles on Twitter include "originators" and "propagators", and roles on cQA are "askers" and "answerers". Both explicit and implicit interactions between users are taken into account and modeled as regularization factors. To evaluate the performance of our proposed method, we have conducted extensive experiments on two Twitter datasets and two cQA datasets. Furthermore, we also consider multi-role modeling for scientific papers where an author's research expertise area is considered as a social role. A novel application of detecting users' research interests through topical keyword labeling based on the results of our multi-role model has been presented. The evaluation results have shown the feasibility and effectiveness of our model.

Visualisation of heterogeneous data with the generalised generative topographic mapping

Heterogeneous and incomplete datasets are common in many real-world visualisation applications. The probabilistic nature of the Generative Topographic Mapping (GTM), which was originally developed for complete continuous data, can be extended to model heterogeneous (i.e. containing both continuous and discrete values) and missing data. This paper describes and assesses the resulting model on both synthetic and real-world heterogeneous data with missing values.

Of Marx and Makers: an Historical Perspective on Generative Justice

In Marxist frameworks “distributive justice” depends on extracting value through a centralized state. Many new social movements—peer to peer economy, maker activism, community agriculture, queer ecology, etc.—take the opposite approach, keeping value in its unalienated form and allowing it to freely circulate from the bottom up. Unlike Marxism, there is no general theory for bottom-up, unalienated value circulation. This paper examines the concept of “generative justice” through an historical contrast between Marx’s writings and the indigenous cultures that he drew upon. Marx erroneously concluded that while indigenous cultures had unalienated forms of production, only centralized value extraction could allow the productivity needed for a high quality of life. To the contrary, indigenous cultures now provide a robust model for the “gift economy” that underpins open source technological production, agroecology, and restorative approaches to civil rights. Expanding Marx’s concept of unalienated labor value to include unalienated ecological (nonhuman) value, as well as the domain of freedom in speech, sexual orientation, spirituality and other forms of “expressive” value, we arrive at an historically informed perspective for generative justice.