Comunicación publicitaria: construcción de potencial de significado a través de la gramática disyuntiva

Communication through language, irrespective of the model of its structure and deployment, entails the making of meanings. The ways that advertisers produce meaning through disjunctive grammar is the concern of this study. Thus, the analysis considered twelve advertisements for examination for meaning deductions. The Hallidayan ‘below the clause’ was the conceptual facilitator of meanings in texts. With the application of technological tools of the table and graph, the study drew a conclusion that nominal group (NG) is the most employed device to fascinate readers to consumption. Having observed that advertisers utilize health matters, beliefs and values, monetary gifts, contents of commodities, etc. to persuade consumers, the study suggests that advertisements could assist in revealing the true contents of the advertised products for proper decision making on the products to patronize. Such behavior could also sensitize the public from being recalcitrant to reading advertising artifacts which is a gain to advertisers themselves. Qualquer que seja o modelo que guie sua estrutura e desenvolvimento, a comunicação por meio da linguagem implica a criação de significados. Os publicistas parecem entender que a criação de significado na comunicação com o público-alvo não precisa depender da cláusula ou da oração. As produções de significado podem ser mordazes e com estruturas fragmentadas; com isso, o estudo que deu origem ao presente artigo interessou-se pela forma como os especialistas em publicidade produzem significado por meio da gramática disjuntiva. Analisaram-se doze anúncios de bebidas e telecomunicações, a fim de explicar os significados. O conceito de “cláusula dependente”, estabelecido por Halliday, foi o facilitador conceitual dos significados nos textos. O uso de ferramentas tecnológicas como tabelas e gráficos ajudou a calcular as frequências das instalações disjuntivas dos textos. Chegou-se à conclusão de que a frase nominal é o dispositivo mais empregado para interessar os leitores no consumo. Tendo-se observado que os anunciantes utilizavam assuntos de saúde, crenças e valores, presentes monetários, conteúdos de produtos básicos, globalização etc. para persuadir os consumidores, o estudo sugeriu que os anúncios poderiam seguir empregando construções com signos de pontuação para revelar os verdadeiros conteúdos dos produtos anunciados, de tal forma que tomassem as decisões adequadas ao favorecê-los. Tal comportamento de implantação disjuntiva também poderia levar o público a ler materiais publicitários no lugar de recusá-los, portanto, de uma maneira ou de outra, convencer o público é o objetivo real da persuasão na publicidade.Cualquiera que sea el modelo que guíe su estructura y desarrollo, la comunicación a través del lenguaje implica la creación de significados. Los publicistas parecen entender que la creación de significado en la comunicación con el público objetivo no necesita depender de la cláusula o dea la oración. Las producciones de significado pueden ser mordaces y con estructuras fragmentadas; con esto, el estudio que dio origen al presente artículo se interesó por la forma en que los expertos en publicidad producen significado a través de la gramática disyuntiva. Se analizaron doce anuncios de bebidas y telecomunicaciones, en aras de explicar los significados. El concepto de “debajo de la cláusula”, acuñado por Halliday, fue el facilitador conceptual de los significados en los textos. El uso de herramientas tecnológicas como tablas y gráficos ayudó a calcular las frecuencias de las instalaciones disyuntivas de los textos. Se llegó a la conclusión de que la frase nominal es el dispositivo más empleado para interesar a los lectores en el consumo. Habiéndose observado que los anunciantes utilizaban asuntos de salud, creencias y valores, regalos monetarios, contenidos de productos básicos, globalización, etc. para persuadir a los consumidores, el estudio sugirió que los anuncios podrían seguir empleando construcciones con signos de puntuación para revelar los verdaderos contenidos de los productos anunciados, de tal forma que se tomaran las decisiones adecuadas al favorecerlos. Tal comportamiento de despliegue disyuntivo también podría llevar al público a leer materiales publicitarios en lugar de rechazarlos, en tanto que, de una manera u otra, convencer al público es el objetivo real de la persuasión en la publicidad.https://revistas.udem.edu.co/index.php/anagramas/article/view/215

Program Synthesis using Natural Language

Interacting with computers is a ubiquitous activity for millions of people. Repetitive or specialized tasks often require creation of small, often one-off, programs. End-users struggle with learning and using the myriad of domain-specific languages (DSLs) to effectively accomplish these tasks. We present a general framework for constructing program synthesizers that take natural language (NL) inputs and produce expressions in a target DSL. The framework takes as input a DSL definition and training data consisting of NL/DSL pairs. From these it constructs a synthesizer by learning optimal weights and classifiers (using NLP features) that rank the outputs of a keyword-programming based translation. We applied our framework to three domains: repetitive text editing, an intelligent tutoring system, and flight information queries. On 1200+ English descriptions, the respective synthesizers rank the desired program as the top-1 and top-3 for 80% and 90% descriptions respectively

A Flexible Object Invocation Language based on Object-Oriented Language Definition

PeerReviewe

Robust Grammatical Analysis for Spoken Dialogue Systems

We argue that grammatical analysis is a viable alternative to concept spotting for processing spoken input in a practical spoken dialogue system. We discuss the structure of the grammar, and a model for robust parsing which combines linguistic sources of information and statistical sources of information. We discuss test results suggesting that grammatical processing allows fast and accurate processing of spoken input.Comment: Accepted for JNL

Streaming Property Testing of Visibly Pushdown Languages

In the context of language recognition, we demonstrate the superiority of streaming property testers against streaming algorithms and property testers, when they are not combined. Initiated by Feigenbaum et al., a streaming property tester is a streaming algorithm recognizing a language under the property testing approximation: it must distinguish inputs of the language from those that are $\varepsilon$-far from it, while using the smallest possible memory (rather than limiting its number of input queries). Our main result is a streaming $\varepsilon$-property tester for visibly pushdown languages (VPL) with one-sided error using memory space $\mathrm{poly}((\log n) / \varepsilon)$. This constructions relies on a (non-streaming) property tester for weighted regular languages based on a previous tester by Alon et al. We provide a simple application of this tester for streaming testing special cases of instances of VPL that are already hard for both streaming algorithms and property testers. Our main algorithm is a combination of an original simulation of visibly pushdown automata using a stack with small height but possible items of linear size. In a second step, those items are replaced by small sketches. Those sketches relies on a notion of suffix-sampling we introduce. This sampling is the key idea connecting our streaming tester algorithm to property testers.Comment: 23 pages. Major modifications in the presentatio

Adversarial Generation of Natural Language

Generative Adversarial Networks (GANs) have gathered a lot of attention from the computer vision community, yielding impressive results for image generation. Advances in the adversarial generation of natural language from noise however are not commensurate with the progress made in generating images, and still lag far behind likelihood based methods. In this paper, we take a step towards generating natural language with a GAN objective alone. We introduce a simple baseline that addresses the discrete output space problem without relying on gradient estimators and show that it is able to achieve state-of-the-art results on a Chinese poem generation dataset. We present quantitative results on generating sentences from context-free and probabilistic context-free grammars, and qualitative language modeling results. A conditional version is also described that can generate sequences conditioned on sentence characteristics.Comment: 11 pages, 3 figures, 5 table