OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web

OntoTag - A Linguistic and Ontological Annotation Model Suitable for the Semantic Web 1. INTRODUCTION. LINGUISTIC TOOLS AND ANNOTATIONS: THEIR LIGHTS AND SHADOWS Computational Linguistics is already a consolidated research area. It builds upon the results of other two major ones, namely Linguistics and Computer Science and Engineering, and it aims at developing computational models of human language (or natural language, as it is termed in this area). Possibly, its most well-known applications are the different tools developed so far for processing human language, such as machine translation systems and speech recognizers or dictation programs. These tools for processing human language are commonly referred to as linguistic tools. Apart from the examples mentioned above, there are also other types of linguistic tools that perhaps are not so well-known, but on which most of the other applications of Computational Linguistics are built. These other types of linguistic tools comprise POS taggers, natural language parsers and semantic taggers, amongst others. All of them can be termed linguistic annotation tools. Linguistic annotation tools are important assets. In fact, POS and semantic taggers (and, to a lesser extent, also natural language parsers) have become critical resources for the computer applications that process natural language. Hence, any computer application that has to analyse a text automatically and ‘intelligently’ will include at least a module for POS tagging. The more an application needs to ‘understand’ the meaning of the text it processes, the more linguistic tools and/or modules it will incorporate and integrate. However, linguistic annotation tools have still some limitations, which can be summarised as follows: 1. Normally, they perform annotations only at a certain linguistic level (that is, Morphology, Syntax, Semantics, etc.). 2. They usually introduce a certain rate of errors and ambiguities when tagging. This error rate ranges from 10 percent up to 50 percent of the units annotated for unrestricted, general texts. 3. Their annotations are most frequently formulated in terms of an annotation schema designed and implemented ad hoc. A priori, it seems that the interoperation and the integration of several linguistic tools into an appropriate software architecture could most likely solve the limitations stated in (1). Besides, integrating several linguistic annotation tools and making them interoperate could also minimise the limitation stated in (2). Nevertheless, in the latter case, all these tools should produce annotations for a common level, which would have to be combined in order to correct their corresponding errors and inaccuracies. Yet, the limitation stated in (3) prevents both types of integration and interoperation from being easily achieved. In addition, most high-level annotation tools rely on other lower-level annotation tools and their outputs to generate their own ones. For example, sense-tagging tools (operating at the semantic level) often use POS taggers (operating at a lower level, i.e., the morphosyntactic) to identify the grammatical category of the word or lexical unit they are annotating. Accordingly, if a faulty or inaccurate low-level annotation tool is to be used by other higher-level one in its process, the errors and inaccuracies of the former should be minimised in advance. Otherwise, these errors and inaccuracies would be transferred to (and even magnified in) the annotations of the high-level annotation tool. Therefore, it would be quite useful to find a way to (i) correct or, at least, reduce the errors and the inaccuracies of lower-level linguistic tools; (ii) unify the annotation schemas of different linguistic annotation tools or, more generally speaking, make these tools (as well as their annotations) interoperate. Clearly, solving (i) and (ii) should ease the automatic annotation of web pages by means of linguistic tools, and their transformation into Semantic Web pages (Berners-Lee, Hendler and Lassila, 2001). Yet, as stated above, (ii) is a type of interoperability problem. There again, ontologies (Gruber, 1993; Borst, 1997) have been successfully applied thus far to solve several interoperability problems. Hence, ontologies should help solve also the problems and limitations of linguistic annotation tools aforementioned. Thus, to summarise, the main aim of the present work was to combine somehow these separated approaches, mechanisms and tools for annotation from Linguistics and Ontological Engineering (and the Semantic Web) in a sort of hybrid (linguistic and ontological) annotation model, suitable for both areas. This hybrid (semantic) annotation model should (a) benefit from the advances, models, techniques, mechanisms and tools of these two areas; (b) minimise (and even solve, when possible) some of the problems found in each of them; and (c) be suitable for the Semantic Web. The concrete goals that helped attain this aim are presented in the following section. 2. GOALS OF THE PRESENT WORK As mentioned above, the main goal of this work was to specify a hybrid (that is, linguistically-motivated and ontology-based) model of annotation suitable for the Semantic Web (i.e. it had to produce a semantic annotation of web page contents). This entailed that the tags included in the annotations of the model had to (1) represent linguistic concepts (or linguistic categories, as they are termed in ISO/DCR (2008)), in order for this model to be linguistically-motivated; (2) be ontological terms (i.e., use an ontological vocabulary), in order for the model to be ontology-based; and (3) be structured (linked) as a collection of ontology-based triples, as in the usual Semantic Web languages (namely RDF(S) and OWL), in order for the model to be considered suitable for the Semantic Web. Besides, to be useful for the Semantic Web, this model should provide a way to automate the annotation of web pages. As for the present work, this requirement involved reusing the linguistic annotation tools purchased by the OEG research group (http://www.oeg-upm.net), but solving beforehand (or, at least, minimising) some of their limitations. Therefore, this model had to minimise these limitations by means of the integration of several linguistic annotation tools into a common architecture. Since this integration required the interoperation of tools and their annotations, ontologies were proposed as the main technological component to make them effectively interoperate. From the very beginning, it seemed that the formalisation of the elements and the knowledge underlying linguistic annotations within an appropriate set of ontologies would be a great step forward towards the formulation of such a model (henceforth referred to as OntoTag). Obviously, first, to combine the results of the linguistic annotation tools that operated at the same level, their annotation schemas had to be unified (or, preferably, standardised) in advance. This entailed the unification (id. standardisation) of their tags (both their representation and their meaning), and their format or syntax. Second, to merge the results of the linguistic annotation tools operating at different levels, their respective annotation schemas had to be (a) made interoperable and (b) integrated. And third, in order for the resulting annotations to suit the Semantic Web, they had to be specified by means of an ontology-based vocabulary, and structured by means of ontology-based triples, as hinted above. Therefore, a new annotation scheme had to be devised, based both on ontologies and on this type of triples, which allowed for the combination and the integration of the annotations of any set of linguistic annotation tools. This annotation scheme was considered a fundamental part of the model proposed here, and its development was, accordingly, another major objective of the present work. All these goals, aims and objectives could be re-stated more clearly as follows: Goal 1: Development of a set of ontologies for the formalisation of the linguistic knowledge relating linguistic annotation. Sub-goal 1.1: Ontological formalisation of the EAGLES (1996a; 1996b) de facto standards for morphosyntactic and syntactic annotation, in a way that helps respect the triple structure recommended for annotations in these works (which is isomorphic to the triple structures used in the context of the Semantic Web). Sub-goal 1.2: Incorporation into this preliminary ontological formalisation of other existing standards and standard proposals relating the levels mentioned above, such as those currently under development within ISO/TC 37 (the ISO Technical Committee dealing with Terminology, which deals also with linguistic resources and annotations). Sub-goal 1.3: Generalisation and extension of the recommendations in EAGLES (1996a; 1996b) and ISO/TC 37 to the semantic level, for which no ISO/TC 37 standards have been developed yet. Sub-goal 1.4: Ontological formalisation of the generalisations and/or extensions obtained in the previous sub-goal as generalisations and/or extensions of the corresponding ontology (or ontologies). Sub-goal 1.5: Ontological formalisation of the knowledge required to link, combine and unite the knowledge represented in the previously developed ontology (or ontologies). Goal 2: Development of OntoTag’s annotation scheme, a standard-based abstract scheme for the hybrid (linguistically-motivated and ontological-based) annotation of texts. Sub-goal 2.1: Development of the standard-based morphosyntactic annotation level of OntoTag’s scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996a) and also the recommendations included in the ISO/MAF (2008) standard draft. Sub-goal 2.2: Development of the standard-based syntactic annotation level of the hybrid abstract scheme. This level should include, and possibly extend, the recommendations of EAGLES (1996b) and the ISO/SynAF (2010) standard draft. Sub-goal 2.3: Development of the standard-based semantic annotation level of OntoTag’s (abstract) scheme. Sub-goal 2.4: Development of the mechanisms for a convenient integration of the three annotation levels already mentioned. These mechanisms should take into account the recommendations included in the ISO/LAF (2009) standard draft. Goal 3: Design of OntoTag’s (abstract) annotation architecture, an abstract architecture for the hybrid (semantic) annotation of texts (i) that facilitates the integration and interoperation of different linguistic annotation tools, and (ii) whose results comply with OntoTag’s annotation scheme. Sub-goal 3.1: Specification of the decanting processes that allow for the classification and separation, according to their corresponding levels, of the results of the linguistic tools annotating at several different levels. Sub-goal 3.2: Specification of the standardisation processes that allow (a) complying with the standardisation requirements of OntoTag’s annotation scheme, as well as (b) combining the results of those linguistic tools that share some level of annotation. Sub-goal 3.3: Specification of the merging processes that allow for the combination of the output annotations and the interoperation of those linguistic tools that share some level of annotation. Sub-goal 3.4: Specification of the merge processes that allow for the integration of the results and the interoperation of those tools performing their annotations at different levels. Goal 4: Generation of OntoTagger’s schema, a concrete instance of OntoTag’s abstract scheme for a concrete set of linguistic annotations. These linguistic annotations result from the tools and the resources available in the research group, namely • Bitext’s DataLexica (http://www.bitext.com/EN/datalexica.asp), • LACELL’s (POS) tagger (http://www.um.es/grupos/grupo-lacell/quees.php), • Connexor’s FDG (http://www.connexor.eu/technology/machinese/glossary/fdg/), and • EuroWordNet (Vossen et al., 1998). This schema should help evaluate OntoTag’s underlying hypotheses, stated below. Consequently, it should implement, at least, those levels of the abstract scheme dealing with the annotations of the set of tools considered in this implementation. This includes the morphosyntactic, the syntactic and the semantic levels. Goal 5: Implementation of OntoTagger’s configuration, a concrete instance of OntoTag’s abstract architecture for this set of linguistic tools and annotations. This configuration (1) had to use the schema generated in the previous goal; and (2) should help support or refute the hypotheses of this work as well (see the next section). Sub-goal 5.1: Implementation of the decanting processes that facilitate the classification and separation of the results of those linguistic resources that provide annotations at several different levels (on the one hand, LACELL’s tagger operates at the morphosyntactic level and, minimally, also at the semantic level; on the other hand, FDG operates at the morphosyntactic and the syntactic levels and, minimally, at the semantic level as well). Sub-goal 5.2: Implementation of the standardisation processes that allow (i) specifying the results of those linguistic tools that share some level of annotation according to the requirements of OntoTagger’s schema, as well as (ii) combining these shared level results. In particular, all the tools selected perform morphosyntactic annotations and they had to be conveniently combined by means of these processes. Sub-goal 5.3: Implementation of the merging processes that allow for the combination (and possibly the improvement) of the annotations and the interoperation of the tools that share some level of annotation (in particular, those relating the morphosyntactic level, as in the previous sub-goal). Sub-goal 5.4: Implementation of the merging processes that allow for the integration of the different standardised and combined annotations aforementioned, relating all the levels considered. Sub-goal 5.5: Improvement of the semantic level of this configuration by adding a named entity recognition, (sub-)classification and annotation subsystem, which also uses the named entities annotated to populate a domain ontology, in order to provide a concrete application of the present work in the two areas involved (the Semantic Web and Corpus Linguistics). 3. MAIN RESULTS: ASSESSMENT OF ONTOTAG’S UNDERLYING HYPOTHESES The model developed in the present thesis tries to shed some light on (i) whether linguistic annotation tools can effectively interoperate; (ii) whether their results can be combined and integrated; and, if they can, (iii) how they can, respectively, interoperate and be combined and integrated. Accordingly, several hypotheses had to be supported (or rejected) by the development of the OntoTag model and OntoTagger (its implementation). The hypotheses underlying OntoTag are surveyed below. Only one of the hypotheses (H.6) was rejected; the other five could be confirmed. H.1 The annotations of different levels (or layers) can be integrated into a sort of overall, comprehensive, multilayer and multilevel annotation, so that their elements can complement and refer to each other. • CONFIRMED by the development of: o OntoTag’s annotation scheme, o OntoTag’s annotation architecture, o OntoTagger’s (XML, RDF, OWL) annotation schemas, o OntoTagger’s configuration. H.2 Tool-dependent annotations can be mapped onto a sort of tool-independent annotations and, thus, can be standardised. • CONFIRMED by means of the standardisation phase incorporated into OntoTag and OntoTagger for the annotations yielded by the tools. H.3 Standardisation should ease: H.3.1: The interoperation of linguistic tools. H.3.2: The comparison, combination (at the same level and layer) and integration (at different levels or layers) of annotations. • H.3 was CONFIRMED by means of the development of OntoTagger’s ontology-based configuration: o Interoperation, comparison, combination and integration of the annotations of three different linguistic tools (Connexor’s FDG, Bitext’s DataLexica and LACELL’s tagger); o Integration of EuroWordNet-based, domain-ontology-based and named entity annotations at the semantic level. o Integration of morphosyntactic, syntactic and semantic annotations. H.4 Ontologies and Semantic Web technologies (can) play a crucial role in the standardisation of linguistic annotations, by providing consensual vocabularies and standardised formats for annotation (e.g., RDF triples). • CONFIRMED by means of the development of OntoTagger’s RDF-triple-based annotation schemas. H.5 The rate of errors introduced by a linguistic tool at a given level, when annotating, can be reduced automatically by contrasting and combining its results with the ones coming from other tools, operating at the same level. However, these other tools might be built following a different technological (stochastic vs. rule-based, for example) or theoretical (dependency vs. HPS-grammar-based, for instance) approach. • CONFIRMED by the results yielded by the evaluation of OntoTagger. H.6 Each linguistic level can be managed and annotated independently. • REJECTED: OntoTagger’s experiments and the dependencies observed among the morphosyntactic annotations, and between them and the syntactic annotations. In fact, Hypothesis H.6 was already rejected when OntoTag’s ontologies were developed. We observed then that several linguistic units stand on an interface between levels, belonging thereby to both of them (such as morphosyntactic units, which belong to both the morphological level and the syntactic level). Therefore, the annotations of these levels overlap and cannot be handled independently when merged into a unique multileveled annotation. 4. OTHER MAIN RESULTS AND CONTRIBUTIONS First, interoperability is a hot topic for both the linguistic annotation community and the whole Computer Science field. The specification (and implementation) of OntoTag’s architecture for the combination and integration of linguistic (annotation) tools and annotations by means of ontologies shows a way to make these different linguistic annotation tools and annotations interoperate in practice. Second, as mentioned above, the elements involved in linguistic annotation were formalised in a set (or network) of ontologies (OntoTag’s linguistic ontologies). • On the one hand, OntoTag’s network of ontologies consists of − The Linguistic Unit Ontology (LUO), which includes a mostly hierarchical formalisation of the different types of linguistic elements (i.e., units) identifiable in a written text; − The Linguistic Attribute Ontology (LAO), which includes also a mostly hierarchical formalisation of the different types of features that characterise the linguistic units included in the LUO; − The Linguistic Value Ontology (LVO), which includes the corresponding formalisation of the different values that the attributes in the LAO can take; − The OIO (OntoTag’s Integration Ontology), which  Includes the knowledge required to link, combine and unite the knowledge represented in the LUO, the LAO and the LVO;  Can be viewed as a knowledge representation ontology that describes the most elementary vocabulary used in the area of annotation. • On the other hand, OntoTag’s ontologies incorporate the knowledge included in the different standards and recommendations for linguistic annotation released so far, such as those developed within the EAGLES and the SIMPLE European projects or by the ISO/TC 37 committee: − As far as morphosyntactic annotations are concerned, OntoTag’s ontologies formalise the terms in the EAGLES (1996a) recommendations and their corresponding terms within the ISO Morphosyntactic Annotation Framework (ISO/MAF, 2008) standard; − As for syntactic annotations, OntoTag’s ontologies incorporate the terms in the EAGLES (1996b) recommendations and their corresponding terms within the ISO Syntactic Annotation Framework (ISO/SynAF, 2010) standard draft; − Regarding semantic annotations, OntoTag’s ontologies generalise and extend the recommendations in EAGLES (1996a; 1996b) and, since no stable standards or standard drafts have been released for semantic annotation by ISO/TC 37 yet, they incorporate the terms in SIMPLE (2000) instead; − The terms coming from all these recommendations and standards were supplemented by those within the ISO Data Category Registry (ISO/DCR, 2008) and also of the ISO Linguistic Annotation Framework (ISO/LAF, 2009) standard draft when developing OntoTag’s ontologies. Third, we showed that the combination of the results of tools annotating at the same level can yield better results (both in precision and in recall) than each tool separately. In particular, 1. OntoTagger clearly outperformed two of the tools integrated into its configuration, namely DataLexica and FDG in all the combination sub-phases in which they overlapped (i.e. POS tagging, lemma annotation and morphological feature annotation). As far as the remaining tool is concerned, i.e. LACELL’s tagger, it was also outperformed by OntoTagger in POS tagging and lemma annotation, and it did not behave better than OntoTagger in the morphological feature annotation layer. 2. As an immediate result, this implies that a) This type of combination architecture configurations can be applied in order to improve significantly the accuracy of linguistic annotations; and b) Concerning the morphosyntactic level, this could be regarded as a way of constructing more robust and more accurate POS tagging systems. Fourth, Semantic Web annotations are usually performed by humans or else by machine learning systems. Both of them leave much to be desired: the former, with respect to their annotation rate; the latter, with respect to their (average) precision and recall. In this work, we showed how linguistic tools can be wrapped in order to annotate automatically Semantic Web pages using ontologies. This entails their fast, robust and accurate semantic annotation. As a way of example, as mentioned in Sub-goal 5.5, we developed a particular OntoTagger module for the recognition, classification and labelling of named entities, according to the MUC and ACE tagsets (Chinchor, 1997; Doddington et al., 2004). These tagsets were further specified by means of a domain ontology, namely the Cinema Named Entities Ontology (CNEO). This module was applied to the automatic annotation of ten different web pages containing cinema reviews (that is, around 5000 words). In addition, the named entities annotated with this module were also labelled as instances (or individuals) of the classes included in the CNEO and, then, were used to populate this domain ontology. • The statistical results obtained from the evaluation of this particular module of OntoTagger can be summarised as follows. On the one hand, as far as recall (R) is concerned, (R.1) the lowest value was 76,40% (for file 7); (R.2) the highest value was 97, 50% (for file 3); and (R.3) the average value was 88,73%. On the other hand, as far as the precision rate (P) is concerned, (P.1) its minimum was 93,75% (for file 4); (R.2) its maximum was 100% (for files 1, 5, 7, 8, 9, and 10); and (R.3) its average value was 98,99%. • These results, which apply to the tasks of named entity annotation and ontology population, are extraordinary good for both of them. They can be explained on the basis of the high accuracy of the annotations provided by OntoTagger at the lower levels (mainly at the morphosyntactic level). However, they should be conveniently qualified, since they might be too domain- and/or language-dependent. It should be further experimented how our approach works in a different domain or a different language, such as French, English, or German. • In any case, the results of this application of Human Language Technologies to Ontology Population (and, accordingly, to Ontological Engineering) seem very promising and encouraging in order for these two areas to collaborate and complement each other in the area of semantic annotation. Fifth, as shown in the State of the Art of this work, there are different approaches and models for the semantic annotation of texts, but all of them focus on a particular view of the semantic level. Clearly, all these approaches and models should be integrated in order to bear a coherent and joint semantic annotation level. OntoTag shows how (i) these semantic annotation layers could be integrated together; and (ii) they could be integrated with the annotations associated to other annotation levels. Sixth, we identified some recommendations, best practices and lessons learned for annotation standardisation, interoperation and merge. They show how standardisation (via ontologies, in this case) enables the combination, integration and interoperation of different linguistic tools and their annotations into a multilayered (or multileveled) linguistic annotation, which is one of the hot topics in the area of Linguistic Annotation. And last but not least, OntoTag’s annotation scheme and OntoTagger’s annotation schemas show a way to formalise and annotate coherently and uniformly the different units and features associated to the different levels and layers of linguistic annotation. This is a great scientific step ahead towards the global standardisation of this area, which is the aim of ISO/TC 37 (in particular, Subcommittee 4, dealing with the standardisation of linguistic annotations and resources).

Home literacy education of Taiwanese Australian families : a sociological analysis

This research investigates home literacy education practices of Taiwanese families in Australia. As Taiwanese immigrants represent the largest ¡°Chinese Australian¡± subgroup to have settled in the state of Queensland, teachers in this state often face the challenges of cultural differences between Australian schools and Taiwanese homes. Extensive work by previous researchers suggests that understanding the cultural and linguistic differences that influence how an immigrant child views and interacts with his/her environment is a possible way to minimise the challenges. Cultural practices start from infancy and at home. Therefore, this study is focused on young children who are around the age of four to five. It is a study that examines the form of literacy education that is enacted and valued by Taiwanese parents in Australia. Specifically, this study analyses ¡°what literacy knowledge and skill is taught at home?¡±, ¡°how is it taught?¡± and ¡°why is it taught?¡± The study is framed in Pierre Bourdieu.s theory of social practice that defines literacy from a sociological perspective. The aim is to understand the practices through which literacy is taught in the Taiwanese homes. Practices of literacy education are culturally embedded. Accordingly, the study shows the culturally specialised ways of learning and knowing that are enacted in the study homes. The study entailed four case studies that draw on: observations and recording of the interactions between the study parent and child in their literacy events; interviews and dialogues with the parents involved; and a collection of photographs of the children.s linguistic resources and artefacts. The methodological arguments and design addressed the complexity of home literacy education where Taiwanese parents raise children in their own cultural ways while adapting to a new country in an immigrant context. In other words, the methodology not only involves cultural practices, but also involves change and continuity in home literacy practices. Bernstein.s theory of pedagogic discourse was used to undertake a detailed analysis of parents. selection and organisation of content for home literacy education, and the evaluative criteria they established for the selected literacy knowledge and skill. This analysis showed how parents selected and controlled the interactions in their child.s literacy learning. Bernstein.s theory of pedagogic discourse was used also to analyse change and continuity in home literacy practice, specifically, the concepts of ¡°classification¡± and ¡°framing¡±. The design of this study aimed to gain an understanding of parents. literacy teaching in an immigrant context. The study found that parents tended to value and enact traditional practices, yet most of the parents were also searching for innovative ideas for their adult-structured learning. Home literacy education of Taiwanese families in this study was found to be complex, multi-faceted and influenced in an ongoing way by external factors. Implications for educators and recommendations for future study are provided. The findings of this study offer early childhood teachers in Australia understandings that will help them build knowledge about home literacy education of Taiwanese Australian families.

Vaggvisor i Kvevlax : Språkliga strukturer och konstruktioner

Lullabies in Kvevlax. Linguistic structures and constructions. The study is a linguistic analysis of constructions that shape the texts used in lullabies in Kvevlax in Ostrobothnia in Finland. The empirical goal is to identify linguistic constructions in traditional lullabies that make use of the dialect of the region. The theoretical goal was to test the usability of Construction Grammar (CxG) in analyses of this type of material, and to further develop the formal description of Construction Grammar in such a way as to make it possible to analyze all kinds of linguistically complex texts. The material that I collected in the 1960s comprises approximately 600 lullabies and concomitant interviews with the singers on the use of lullabies. In 1991 I collected additional material in Kvevlax. The number of informants is close to 250. Supplementary material covering the Swedish-language regions in Finland was compiled from the archives of the Society of Swedish Literature in Finland. The first part of the study is mainly based on traditional grammar and gives general information about the language and the structures used in the lullabies. In the detailed study of the Kvevlax lullabies in the latter part of the study I use a version of Construction Grammar intended for the linguistic analysis of usage-based texts. The analysis focuses on the most salient constructions in the lullabies. The study shows that Construction Grammar as a method has more general applicability than traditional linguistic methods. The study identifies important constructions, including elements typical of this genre, that structure the text in different variants of the same lullabies. In addition, CxG made it possible to study pragmatic aspects of the interactional, cultural and contextual language that is used in communication with small children. The constructions found in lullabies are also used in language in general. In addition to being able to give detailed linguistic descriptions of the texts, Construction Grammar can also explain the multidimensionality of language and the variations in the texts. The use of CxG made it possible to show that variations are not random but follow prototypical linguistic patterns, constructions. Constructions are thus found to be linguistic resources with built-in variation potentials.

Las habilidades narrativas de niños de 5 años en situación de “hacer que leen un cuento”

Resumen: El presente estudio tuvo por objeto explorar el desarrollo de las habilidades narrativas de niños de 5 años de nivel socioeconómico (NSE) bajo y medio. A principio del año escolar, se les solicitó a los niños que seleccionaran un libro de cuentos y lo “leyeran”. Los niños de NSE bajo no respondieron a la consigna, por lo que se analizó su desempeño narrativo luego de la implementación de una propuesta de alfabetización temprana que incluía la lectura diaria y repetida de cuentos. El análisis de los relatos infantiles permitió identificar diferencias entre los grupos de distinto NSE. Mientras que los niños de NSE medio recuperaban la historia o “hacían que leían” apelando a recursos lingüísticos característicos de historias de ficción, los relatos de los niños de NSE bajo, aún después de la intervención, mantenían marcas de oralidad y estaban ligados a guiones y experiencias personales.

Uma ideia toda azul: as figuras de linguagem como recursos linguístico-expressivos

Esta dissertação é um estudo sobre a expressividade dos contos de fadas da obra Uma ideia toda azul, de Marina Colasanti. Torna-se inovadora por se tratar de textos curtos, valorizando o fantástico e pelos desfechos de seus contos, diferentes dos tradicionais. Trabalhando com reis, rainhas, príncipes, princesas e unicórnios, a autora utiliza figuras de linguagem que valorizam o texto, tornando cada vez mais encantador e instigante o seu bordado de palavras. Apresentam-se no decorrer do trabalho reflexões acerca das narrativas orais, as teorias referentes aos contos populares, a compreensão de literatura infantil, os contos de fadas, Marina Colasanti na cultura brasileira e a narrativa fantástica, um resumo da obra Uma ideia toda azul, a estilística como base da pesquisa e a essência das figuras de linguagem. Busca-se descrever e analisar as figuras mais produtivas: metáfora, personificação, hipérbole, sinestesia e eufemismo. São recursos linguísticos que conferem aos contos de Colasanti a expressividade que seduz o leitor de todas as idades. A realidade e a fantasia se articulam harmoniosamente em um texto que, ao ressaltar o fantástico, desvela os sentidos universais inerentes ao ser humano de todas as épocas

Language evolution and recursion : an empirical investigation of human hierarchical processing

Tese de doutoramento, Ciências Biomédicas (Neurociências), Universidade de Lisboa, Faculdade de Medicina, 2014

Re-negotiating Ideologies of Bilingualism on the Margins of Education

This article reports on an ethnographic study carried out in three interrelated sites: two contrasting secondary schools and a Youth-Club (the principal focus of this article), in an area of southwest Wales. This article highlights the incongruence between the language at home and the language of the school and posits that the relationship between language use at school and in the wider community needs to be problematised and questioned far more than has been done thus far. This study questions whether school-based ideologies and school-based practices are re-negotiated or contested on the margins of education and whether this re-negotiation and contestation plays an important role in whether a young person chooses to use Welsh or English outside of school. It will be argued that recreational spaces, even though loosely connected to schools as institutions, function as more open spaces where institutional ideologies are actively reworked and renegotiated, either through choosing to use English or by mixing and blending different aspects of linguistic resources, or by re-negotiating and questioning which version of Welshness is more valuable, ‘the removed and authentic’ (as seen at the Welsh school) or the ‘new and hybrid’ as seen at the Youth-Club.

Mental imagery in interpreting – a neurocognitive perspective

The paper discusses mental imagery as an important part of information processing performed during interpreting. Mental imagery is examined to see if visual processing used to remember the source text or to facilitate its understanding helps to ‗off-load‘ other cognitive (mainly linguistic) resources in interpreting. The discussion is based on a neurocognitively-oriented depictivist model by Kosslyn (1994). The overview of mental imagery processes and systems is followed by the discussion of imagery used in interpreting. First, imagery development in student interpreters is described on the basis of a note-taking course for would-be consecutive interpreters organized by the author at AMU. The initial part of the course devoted to imagery involves visualizations of geographical, descriptive and narrative texts. The description abounds in authentic examples and presents conclusions for interpreting trainers. Later, imagery as employed by professional interpreters is discussed on the basis of a qualitative survey. General implications of the use of mental imagery for cognitive processing limitations in interpreting are presented in the concluding section.

El español de los inmigrantes de los Andes bolivianos en el Norte Grande de Chile : convergencias y divergencias dialectales en el marco de una situación de contacto

Cette thèse a été financée par le Conseil de recherches en sciences humaines du Canada (numéro de référence 767-2010-1310)

A complex network approach to text summarization

Automatic summarization of texts is now crucial for several information retrieval tasks owing to the huge amount of information available in digital media, which has increased the demand for simple, language-independent extractive summarization strategies. In this paper, we employ concepts and metrics of complex networks to select sentences for an extractive summary. The graph or network representing one piece of text consists of nodes corresponding to sentences, while edges connect sentences that share common meaningful nouns. Because various metrics could be used, we developed a set of 14 summarizers, generically referred to as CN-Summ, employing network concepts such as node degree, length of shortest paths, d-rings and k-cores. An additional summarizer was created which selects the highest ranked sentences in the 14 systems, as in a voting system. When applied to a corpus of Brazilian Portuguese texts, some CN-Summ versions performed better than summarizers that do not employ deep linguistic knowledge, with results comparable to state-of-the-art summarizers based on expensive linguistic resources. The use of complex networks to represent texts appears therefore as suitable for automatic summarization, consistent with the belief that the metrics of such networks may capture important text features. (c) 2008 Elsevier Inc. All rights reserved.

Automatic rule induction in Arabic to English machine translation framework

This chapter addresses the exploitation of a supervised machine learning technique to automatically induce Arabic-to-English transfer rules from chunks of parallel aligned linguistic resources. The induced structural transfer rules encode the linguistic translation knowledge for converting an Arabic syntactic structure into a target English syntactic structure. These rules are going to be an integral part of an Arabic-English transfer-based machine translation. Nevertheless, a novel morphological rule induction method is employed for learning Arabic morphological rules that are applied in our Arabic morphological analyzer. To demonstrate the capability of the automated rule induction technique, we conducted rule-based translation experiments that use induced rules from a relatively small data set. The translation quality of the hybrid translation experiments achieved good results in terms of WER.

A divulgação do conhecimento científico sob uma perspectiva enunciativa

Esta dissertação focaliza um gênero textual denominado texto de divulgação científica, o qual tem por objetivo divulgar as recentes descobertas científicas. Ao se tratar de um modelo textual com peculiaridades próprias, busca-se, a partir do conceito bakhtiniano de gênero, classificá-Io corno um gênero emergente, por estar cadavez mais freqüente na rnídia impressa e eletrônica. Assim, o objetivo desse trabalho é mostrar como esse gênero textual é configurado por meio de estratégias lingüísticas que caracterizam o dialogismo e a polifonia. Para atingir tal propósito procedeu-se a uma análise enunciativa de textos de divulgação científica veiculados na Folha online, procurando verificar os diferentes recursos lingüísticos empregados para reformulação do referido texto a partir do texto original -o artigo científico. Os resultados apontam o texto de divulgação científica como um gênero predominantemente politõnico, pois, ao jogar com recursos disponíveis na língua, como por exemplo aspas, parênteses e certos marcadores discursivos, o divulgador tem a possibilidade de transformar um texto que apresenta maior grau de objetividade, imparcialidade e emprego de palavras técnicas, características próprias do artigo de cunho científico, em um texto constituído por uma - linguagem com palavras próximas do cotidiano do leitor e, portanto, permitindo uma leitura mais acessível.

A argumentação na petição inicial

This research investigates current sense effects at the use of linguistic resources of the argument in a corpus constituted by juridical pieces (Initial Petitions), that gave opportunity to actions originated from the Civil Special Court of the District of Currais Novos-RN. For this purpose it was established a relation between the Law and the Linguistics, mediated by the focus of the Argumentative Semantics, emphasizing, in a special way, the use of argumentative operators, which inserted in the own language, in its grammar, assume the orientation of the speech and the modalizers use, important mechanisms in the construction of the sense of the text and in the signalling in the way as that that one say is said,. This way, we began the investigation of that gender choosing as study object the section of the facts , that comprehends a part of Initial Petition where is explanted the narration of events that gave margin to the proposal for the Action. In face of the study object and the aim to be reached it was appealed, methodologically, to the notion of Rhetoric since from the classic antiquity to the emergence of the New present Rhetoric in Perelman and Olbrechts-Tyteca (2005) that, at the present time, is inserted in the studies of the Pragmatic connected to the central theses of the Ducrot s thinking (1977, 1980, 1987). Such referential allowed us to a better understanding about the production of the juridical speech on the part of the operators of the Law, as well as, to analyze in way wide the current sense effects from the use of argument linguistic marks the juridical speech. The data showed that such marks are indispensable elements to the construction of the textual web, particularly when in the range of the juridical argumentation, since they direct the speech for certain conclusions. However, we have observed that in the texts produced by the lawyers the use of those linguistic resources not always takes place in an appropriate way. The texts analyzed have also showed that it is possible to unmask, through the linguistic resources, the argumentative strategy employed by the authors for convincing of the magistrate, making evident that language is more than a system of signs, which it makes possible to see beyond the limit of the words and statements. Finally, we have verified that the categories analyzed, when used appropriately, are elements that engender argumentative maneuvers of effectiveness in the juridical text, being fundamental pieces which give argumentative strength the text, making the speech to move forward, not only the juridical, but the speech produced in any domain of the knowledge

A escrita do texto acadêmico na graduação: modos de utilização de conceitos teóricos de uma área de conhecimento

In this study we have developed a discussion about academic text production in the undergraduate course of Literature and Languages. Specifically, we are going to analyze the monographic text writing in order to verify the meaning effects created from the ways of showing other s discourses that constitute a written production. As a means to do that, we are going to answer the following question: How does a young researcher make use of a theory in order to be part of a particular scientific community? We aim to: 1) analyze the linguistic resources, like quotations and signs of cohesion that demonstrate the other s voice presence in academic writing; 2) observe the meaning effects produced through the ways that the one who writes shows the other s voice in the written text. Firstly, we have selected 23 (twentythree) monographs produced in the last five years by students from a Literature and Languages undergraduate course in a determined public university. However, in this study, we have analyzed just 02 (two) different monographic texts. To develop such an investigation, we have inquired Kuhn s concept of science, which shows the existence of different meanings of science production in the course of the centuries. It allows us to define academic writing as science production that develops and contributes to knowledge production. With the purpose of restricting the meaning of writing conception, we have relied on Coracini, who assumes that all writing production is the registration of the self, in other words, writing comes from the subject s intervention, it is to say that only an imposition of the self guarantees the subject as author of what he writes. We have as theoretical basis the following concepts: 1-) Authier-Revus s enunciative heterogeneity, that allowed us to analyze the written marks of the other in the monographic writing; 2-) Pêcheux s reformulation-paraphrase and Orlandi s polysemy and paraphrase, concepts that present notions of productivity and creativity as ways of meaning production, and allows us to observe how the process of language production in academic writing is established; 3-) Rossi-Landi s concept of exchange-value and use-value, which consider language as a linguistic work, allowing us to verify the differences between use and social functionality in a determined theory; and 4-) Possenti s notion of authorship indicia, with which we have identified attitudes that make the one who writes author of his own text. We have verified that writing characterized for repetition and reproduction may develop a meaning effect that constructs the idea that writing production promotes an author, a concept or a theory. We have also realized that a written text that restricts itself to reproduce other authors discourses and does not articulate a theory with data analysis or with work methodology, when evaluated is approved and legitimates itself as scientific production. That demonstrates the existence of academic productions that do not develop any functionality of the employed theory. The text works as a means to promote its theoretical concepts, and theory. It is to say that the theoretical foundantion, which usually is a way to argue and sustain scientific production, does not have any function. Thus, we consider that the way someone shows the other s discourse in academic writing may work as a way to underline what the other asserts to the detriment of the researcher s words. This fact allows us to comprehend that a way of writing may evidence a meaning effect of the author s, theory s or theoretical concepts promotion

O parvo em Gil Vicente e o gracioso em Antônio José da Silva: expressões do cômico no teatro português

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)