scholarly journals Linguistic Features of Persuasive Communication: The Case of DRTV Short Form Spots

2015 ◽  
Vol 12 (2) ◽  
pp. 29-52
Author(s):  
Smiljana Komar
Keyword(s):  
Structural Analysis ◽  
Short Form ◽  
Persuasive Communication ◽  
Main Function ◽  
Prosodic Features ◽  
Television Commercials ◽  
Linguistic Features ◽  
Direct Response ◽  
Linguistic Analyses ◽  
Verbal Strategies

Direct response television commercials (DRTV) exhibit a very specific style of speech and delivery whose main function is to boost the product’s value and sales. This paper presents the findings of the structural and the linguistic analyses of three English DRTV short form spots as seen on Highstreet TV. The emphasis is on the verbal strategies used by advertisers to get the consumers’ attention, develop their interest and desire to own the product and to convince them to purchase it. These strategies include different lexical, syntactic and prosodic features. The structural analysis focuses mainly on non-verbal strategies of broadcasting advertisements whose purpose is to inspire interest and credibility in potential consumers.

Scientific Articles in Internet Homepages: Assumptions upon Lay Audiences

2003 ◽  
Vol 33 (2) ◽  
pp. 165-184 ◽  
Author(s):  
Isabel Gonzalez-Pueyo ◽  
Alicia Redrado
Keyword(s):  
Structural Analysis ◽  
Functional Approach ◽  
Genre Theory ◽  
The Internet ◽  
Linguistic Features ◽  
News Stories ◽  
Current Trends ◽  
Tv News ◽  
Scientific Technical ◽  
Modern Myth

This article studies a set of scientific/technical articles published in Internet homepages. Focusing upon current trends on genre theory and the functional approach deployed by Halliday and Martin [1], linguistic features and schematic structure are analyzed in relation to more standard genres. The structural analysis suggests that these kind of texts imaginatively realize and assume the standpoint and main tenets of a lay audience that just consumes specific genres, most being analogous to the persuasive, manipulative, amusement-oriented genres of TV news stories, tabloids, and commercials. It is pondered that much of the “technological utopianism” (term used by Kling [2] surrounding the ever increasingly standardized Internet discourse turns the Internet into a productive vehicle to sustain technoscience as modern myth by spreading and forging that utopian imagery into the audience's consciousness, and that scientists are taking fruitful advantage of the utopian, futurist, and often sensationalist accounts of the Internet as a formidable frame to advertise themselves and the deeds achieved in their laboratories.

scholarly journals How Software Features and Linguistic Analyses Add Value to Orthographic Markup in Transcription of Multilingual Recordings for Digital Archives

2021 ◽  
Author(s):  
Enrique Rodriguez ◽  
Robert Vann
Keyword(s):  
Language Contact ◽  
Spontaneous Speech ◽  
Linguistic Analysis ◽  
Spoken Language ◽  
Lessons Learned ◽  
Digital Archives ◽  
Linguistic Features ◽  
Bottom Up ◽  
Linguistic Analyses ◽  
Digital Language

This report discusses the importance of accounting for language contact and discourse circumstance in orthographic transcriptions of multilingual recordings of spoken language for deposit in digital language archives (DLAs). Our account provides a linguistically informed approach to the multilingual representation of spontaneous speech patterns, taking steps toward documenting ancestral and emergent codes. Our findings lead to portable lessons learned including (a) the conclusion that transcriptions can benefit from a bottom-up approach targeting particular linguistic features of sociocultural relevance to the community documented and (b) the implication (for researchers developing transcriptions for other DLAs) that the principled implementation of particular software features in tandem with systematic linguistic analysis can be helpful in finding and classifying such features, especially in multilingual recordings.

scholarly journals TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

2020 ◽  
Vol 8 ◽  
pp. 454-470 ◽  
Author(s):  
Jonathan H. Clark ◽  
Eunsol Choi ◽  
Michael Collins ◽  
Dan Garrette ◽  
Tom Kwiatkowski ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Data Quality ◽  
Information Seeking ◽  
Question Answering ◽  
Linguistic Features ◽  
Priming Effects ◽  
English Only ◽  
Linguistic Analyses ◽  
Realistic Information

Confidently making progress on multilingual modeling requires challenging, trustworthy evaluations. We present TyDi QA—a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. The languages of TyDi QA are diverse with regard to their typology—the set of linguistic features each language expresses—such that we expect models performing well on this set to generalize across a large number of the world’s languages. We present a quantitative analysis of the data quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found in English-only corpora. To provide a realistic information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but don’t know the answer yet, and the data is collected directly in each language without the use of translation.

scholarly journals TTS-driven Embodied Conversation Avatar for UMB-SmartTV

2021 ◽  
Vol 15 ◽  
pp. 1-7
Author(s):  
Matej Rojc ◽  
Zdravko Kačič ◽  
Marko Presker ◽  
Izidor Mlakar
Keyword(s):  
Prosodic Features ◽  
Virtual Agent ◽  
Generation System ◽  
Linguistic Features ◽  
Embodied Conversational Agent ◽  
Production Models ◽  
Service Oriented ◽  
Remote Controller ◽  
Advanced Interaction ◽  
Processing Steps

When human-TV interaction is performed by remote controller and mobile devices only, the interactions tend to be mechanical, dreary and uninformative. To achieve more advanced interaction, and more human-human like, we introduce the virtual agent technology as a feedback interface. Verbal and co-verbal gestures are linked through complex mental processes, and although they represent different sides of the same mental process, the formulations of both are quite different. Namely, verbal information is bound by rules and grammar, whereas gestures are influenced by emotions, personality etc. In this paper a TTS-driven behavior generation system is proposed for more advanced interface used for smart IPTV platforms. The system is implemented as a distributive non-IPTV service and integrated into UMB-SmartTV in a service-oriented fashion. The behavior generation system fuses speech and gesture production models by using FSMs and HRG structures. Features for selecting the shape and alignment of co-verbal movement are based on linguistic features (that can be extracted from arbitrary input text), and prosodic features (as predicted within several processing steps in the TTS engine). At the end, the generated speech and co-verbal behavior are animated by an embodied conversational agent (ECA) engine and represented to the user within the UMB-SmarTV user interface.

Augenblick mal! Theoretische Überlegungen und methodische Zugänge zur Erforschung sozialer Variation in der Deutschen Gebärdensprache

2018 ◽  
Vol 2018 (69) ◽  
pp. 97-128
Author(s):  
Hanna Jaeger ◽  
Anita Junghanns
Keyword(s):  
Focus Group ◽  
Sign Language ◽  
Quantitative Data ◽  
Stimulus Material ◽  
Prosodic Features ◽  
Linguistic Features ◽  
Group Settings ◽  
Native Signer ◽  
Focus Group Data ◽  
Native Signers

AbstractDeaf sign language users oftentimes claim to be able to recognise straight away whether their interlocutors are native signers. To date it is unclear, however, what exactly such judgement calls might be based on. The aim of the research presented was to explore whether specific articulatory features are being associated with signers that have (allegedly) acquired German Sign Language (Deutsche Gebärdensprache, DGS) as their first language. The study is based on the analysis of qualitative and quantitative data. Qualitative data were generated in ten focus group settings. Each group was made up of three participants and one facilitator. Deaf participants’ meta-linguistic claims concerning linguistic features of ‘native signing’ (i. e. what native signing looks like) were qualitatively analysed using grounded theory methods. Quantitative data were generated via a language assessment experiment designed around stimulus material extracted from DGS corpus data. Participants were asked to judge whether or not individual clips extracted from a DGS corpus had been produced by a native signer. Against the backdrop of the findings identified in the focus group data, the stimulus material was subsequently linguistically analysed in order to identify specific linguistic features that might account for some clips to be judged as ‘produced by a native signer’ as opposed to others that were claimed to have been ‘articulated by a non-native signer’. Through juxtaposing meta-linguistic perspectives, the results of a language perception experiment and the linguistic analysis of the stimulus material, the study brings to the fore specific crystallisation points of linguistic and social features indexing linguistic authenticity. The findings break new ground in that they suggest that the face as articulator in general, and micro-prosodic features expressed in the movement of eyes, eyebrows and mouth in particular, play a significant role in the perception of others as (non-)native signers.

scholarly journals Textual and Prosodic Features of an Oral Academic Text

2017 ◽  
Vol 3 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Elena Velikaya
Keyword(s):  
Acoustic Analysis ◽  
Analysis Data ◽  
Prosodic Features ◽  
Linguistic Features ◽  
Written Text ◽  
Spoken Text ◽  
Text Types ◽  
International College ◽  
The One ◽  
Auditory Analysis

‘Discourse is the way that language – either spoken or written – is used for communicative effect in a real-world situation (Thornbury, 2005, p. 7). Thornbury considers the text as the product and the discourse – as a communicative process that involves ‘language and the record of the language that is used in this discourse, which is ‘text’ (ibid). Although presentations are generally categorized as spoken text types, an academic presentation is a compromise between spoken and written text types: on the one hand, it is given in a classroom as an oral text; on the other hand, it is thoroughly prepared as a home assignment in the form of a written text. This article focuses on the analysis of such linguistic features of students’ presentations as cohesion, coherence, and prosody. For this analysis, data were collected from 60 2nd year students of the International College of Economics and Finance (ICEF) presentations on various economic topics which were recorded and examined (the time limit for each of the presentations was 10 minutes); out of 60, 10 presentation texts were selected for auditory analysis, and thematic centers (TCs) were examined using acoustic analysis. Measurements of prosodic parameters such as pitch, intensity, and duration (rate of utterance) were obtained using the computer programs Speech Analyzer 3.0.1 and Pratt (v.4.0.53). The results of these analyses show that students’ presentations are cohesive, coherent and contain TCs, which are characterized by specific prosodic parameters that have a certain effect on the comprehension of these texts, their expressiveness and pragmatic value.

scholarly journals RobuTrans: A Robust Transformer-Based Text-to-Speech Model

2020 ◽  
Vol 34 (05) ◽  
pp. 8228-8235
Author(s):  
Naihan Li ◽  
Yanqing Liu ◽  
Yu Wu ◽  
Shujie Liu ◽  
Sheng Zhao ◽  
...  
Keyword(s):  
Neural Network ◽  
Speech Synthesis ◽  
Neural Model ◽  
Attention Mechanism ◽  
Maximum Length ◽  
Prosodic Features ◽  
Text To Speech ◽  
Linguistic Features ◽  
Excellent Quality ◽  
Speech Model

Recently, neural network based speech synthesis has achieved outstanding results, by which the synthesized audios are of excellent quality and naturalness. However, current neural TTS models suffer from the robustness issue, which results in abnormal audios (bad cases) especially for unusual text (unseen context). To build a neural model which can synthesize both natural and stable audios, in this paper, we make a deep analysis of why the previous neural TTS models are not robust, based on which we propose RobuTrans (Robust Transformer), a robust neural TTS model based on Transformer. Comparing to TransformerTTS, our model first converts input texts to linguistic features, including phonemic features and prosodic features, then feed them to the encoder. In the decoder, the encoder-decoder attention is replaced with a duration-based hard attention mechanism, and the causal self-attention is replaced with a "pseudo non-causal attention" mechanism to model the holistic information of the input. Besides, the position embedding is replaced with a 1-D CNN, since it constrains the maximum length of synthesized audio. With these modifications, our model not only fix the robustness problem, but also achieves on parity MOS (4.36) with TransformerTTS (4.37) and Tacotron2 (4.37) on our general set.

scholarly journals TALKING TO, FOR AND ABOUT THE TV: AN ANALYSIS OF NFL FANS’ DISCOURSE

2014 ◽  
Vol 7 ◽  
pp. 15-45
Author(s):  
Kathryn Brenner ◽  
Kerry Burns ◽  
Jennifer D Ewald
Keyword(s):  
Family Members ◽  
Multiple Identities ◽  
Prosodic Features ◽  
Linguistic Features ◽  
Potential Interest ◽  
The Voice

Underrepresented in sport discourse literature, the usually private interactions among television viewers provided the context for this research. The present study built directly on previous findings regarding TV viewer interaction, sport discourse, and speakers’ multiple identities by analyzing the linguistic features of interactions among four male family members while watching televised football in their home. Participants used prosodic features to frame utterances while taking on the voice of fan, coach, or commentator and talking to, for, or about the TV. In general, these viewers talked ‘to’ the TV as fans and coaches, ‘for’ the TV as commentators, and ‘about’ the TV in all three roles. The findings are of potential interest to researchers as well as marketing and advertising companies.

scholarly journals Linguistic Features Of Latin And Greek Synonymous Morphemes In The Lexical System Of The French Language (Based On Medical Texts)

2021 ◽  
Vol 03 (05) ◽  
pp. 172-174
Author(s):  
Shakhnoza Esonovna Abraeva ◽  
Keyword(s):  
Major Part ◽  
French Language ◽  
Scientific Concept ◽  
Main Function ◽  
Medical Terminology ◽  
Linguistic Features ◽  
Medical Texts ◽  
Medical Terms

This article discusses the use of medical terminology, which includes Latin and Greek terms and morphemes. Because Latin and Greek terms are becoming a major part of medical terminology. The article also states that the main function of medical terms is to express a scientific concept in one sense. Latin-Greek morphemes play an important role in the formation of medical lexicon. In addition to the most common methods of term formation, there are also some methods, the results of which are abbreviations, homonyms, synonyms, eponyms, and so on. To understand the meaning of these medical terms, we are required to become familiar with their morphology.

Prosodic structure

2019 ◽  
pp. 395-435
Author(s):  
Mary Dalrymple ◽  
John J. Lowe ◽  
Louise Mycock
Keyword(s):  
Structural Analysis ◽  
The Other ◽  
Prosodic Structure ◽  
Prosodic Features ◽  
Grammatical Structure ◽  
Full Theory ◽  
Focus Marking ◽  
Prosodic Focus ◽  
The Relationship

This chapter investigates the relationship between the phonological or prosodic structure of a spoken utterance and its syntactic, semantic, and information structural analysis. A full theory of the form-meaning correspondence must account for the effect of prosodic features such as intonation patterns on interpretation. In line with other work in LFG that is concerned with the contribution made by phonology or prosody to grammatical structure and interpretation, the existence of a separate level of prosodic structure or p-structure within the projection architecture is assumed. The chapter reviews previous LFG approaches to prosody and the place of prosodic structure within the grammar (Section 11.3), before presenting the approach that is adopted which relies on analyzing a string as having two distinct aspects: one syntactic, the s-string, the other phonological/ prosodic, the p-string (Section 11.4). This approach is exemplified with an account of declarative questions and prosodic focus marking.

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