scholarly journals La construcción del espacio turístico a través de la fraseología metafórica

2019 ◽  
Vol 94 (1) ◽  
pp. 137-153
Author(s):  
Sara Piccioni ◽  
Gianluca Pontrandolfo
Keyword(s):  
Conceptual Level ◽  
Target Domain ◽  
Tourist Destination ◽  
Source Domain ◽  
Conceptual Domain ◽  
Persuasive Strategies ◽  
Linguistic Patterns ◽  
Communication Metaphors ◽  
Tourist Service

This article explores the metaphorical strategies conveyed by phraseological units in a subsection of the Linguaturismo corpus (Calvi 2011). Through a quali-quantative analysis, metaphorical phraseological units related to space were identified and classified, with a view to identifying the persuasive strategies necessary to create the image of the tourist destination in the reader/traveler's mind.The analysis followed a three-step methodology: a) semi-automatic elaboration of a list of potentially metaphorical N-grams; b) identification of phraseological patterns in the N-grams according to syntactic criteria (Corpas Pastor 1996); c) classification of metaphorical phraseological units based on the conceptual domain of space used as source domain, as target domain, and as both source and target domains (Lakoff/Johnson 1980).Results show that space metaphors in tourist texts rely on conventional linguistic patterns typical of general language. However, on a conceptual level, they display a functional specialisation as persuasive devices; by placing the readers/tourists at the centre of the communication, metaphors contribute to enhancing their sensorial perception, thus inviting them to visit a destination, buy a tourist service, or do a tourist experience.

scholarly journals DEEP DOMAIN ADAPTATION BY WEIGHTED ENTROPY MINIMIZATION FOR THE CLASSIFICATION OF AERIAL IMAGES

2020 ◽  
Vol V-2-2020 ◽  
pp. 591-598
Author(s):  
D. Wittich
Keyword(s):  
Data Augmentation ◽  
Domain Adaptation ◽  
Aerial Images ◽  
Target Domain ◽  
Source Domain ◽  
Entropy Minimization ◽  
Training Samples ◽  
Order Of Magnitude ◽  
Weighted Entropy

Abstract. Fully convolutional neural networks (FCN) are successfully used for the automated pixel-wise classification of aerial images and possibly additional data. However, they require many labelled training samples to perform well. One approach addressing this issue is semi-supervised domain adaptation (SSDA). Here, labelled training samples from a source domain and unlabelled samples from a target domain are used jointly to obtain a target domain classifier, without requiring any labelled samples from the target domain. In this paper, a two-step approach for SSDA is proposed. The first step corresponds to a supervised training on the source domain, making use of strong data augmentation to increase the initial performance on the target domain. Secondly, the model is adapted by entropy minimization using a novel weighting strategy. The approach is evaluated on the basis of five domains, corresponding to five cities. Several training variants and adaptation scenarios are tested, indicating that proper data augmentation can already improve the initial target domain performance significantly resulting in an average overall accuracy of 77.5%. The weighted entropy minimization improves the overall accuracy on the target domains in 19 out of 20 scenarios on average by 1.8%. In all experiments a novel FCN architecture is used that yields results comparable to those of the best-performing models on the ISPRS labelling challenge while having an order of magnitude fewer parameters than commonly used FCNs.

“The suburbs are exploding”

2010 ◽  
Vol 24 ◽  
pp. 103-119 ◽  
Author(s):  
Stefanie Peeters
Keyword(s):  
Conceptual Metaphor ◽  
The Other ◽  
Target Domain ◽  
Conceptual Metaphor Theory ◽  
Source Domain ◽  
Conceptual Domain ◽  
Other Hand ◽  
Metaphor Theory ◽  
The One

Ever since Lakoff and Johnson (1980) introduced their Conceptual Metaphor Theory, metaphors have been seen as important ‘framing devices’: as metaphor involves constructing one conceptual domain in terms of another, the choice of the latter (or source domain) affects how the former (or target domain) is represented. Based on a corpus of French written press reporting, this article will, on the one hand, show that the notion of ‘framing’ is, in line with the findings of Conceptual Metaphor Theory, useful for analysing metaphors as well as for indicating their constructive force. On the other hand, however, this article will defend the idea that an analysis of metaphors in terms of frames does not always suffice and needs to be complemented. Following a recent strand in metaphor studies that shows an increasing awareness of the importance of studying metaphors as linguistic and discursive phenomena (cf. Cameron, 2003; Semino, 2008), we will claim that a more co-text-oriented metaphor approach has to be adopted to account for the nuances and evaluative associations metaphors are able to convey.

scholarly journals Translating emotion-related metaphors: A cognitive approach

ExELL ◽  
2016 ◽  
Vol 4 (2) ◽  
pp. 87-101
Author(s):  
Jasmina Hanić ◽  
Tanja Pavlović ◽  
Alma Jahić
Keyword(s):  
Cognitive Linguistics ◽  
Native Speaker ◽  
Translation Studies ◽  
Target Domain ◽  
Cognitive Approach ◽  
Source Domain ◽  
Language And Culture ◽  
Source Language ◽  
Conceptual Domain ◽  
Domain Source

Abstract The paper explores the existence of cognitive linguistics principles in translation of emotion-related metaphorical expressions. Cognitive linguists (Lakoff & Johnson, 1980; Lakoff, 1987) define metaphor as a mechanism used for understanding one conceptual domain, target domain, in terms of another conceptual domain, source domain, through sets of correspondences between these two domains. They also claim that metaphor is omnipresent in ordinary discourse. Cognitive linguists, however, also realized that certain metaphors can be recognized and identified in different languages and cultures whereas some are language- and culture-specific. This paper focuses on similarities and variations in metaphors which have recently become popular within the discipline of Translation Studies. Transferring and translating metaphors from one language to another can represent a challenge for translators due to a multi-faceted process of translation including both linguistic and non-linguistic elements. A number of methods and procedures have been developed to overcome potential difficulties in translating metaphorical expressions, with the most frequent ones being substitution, paraphrase, or deletion. The analysis shows the transformation of metaphorical expressions from one language into another and the procedures involving underlying conceptual metaphors, native speaker competence, and the influence of the source language.

The Concept of Animals in Balinese Proverbs

2017 ◽  
Vol 3 (1) ◽  
pp. 87
Author(s):  
I Wayan Budiarta ◽  
Ni Wayan Kasni
Keyword(s):  
Short Story ◽  
Cognitive Processes ◽  
Qualitative Data ◽  
Syntactic Structure ◽  
The Body ◽  
Biological Characteristic ◽  
Speech Community ◽  
Target Domain ◽  
Source Domain ◽  
Mapping Process

This research is aimed to figure out the syntactic structure of Balinese proverbs, the relation of meaning between the name of the animals and the meaning of the proverbs, and how the meanings are constructed in logical dimension. This research belongs to a qualitative as the data of this research are qualitative data which taken from a book entitled Basita Paribahasa written by Simpen (1993) and a book of Balinese short story written by Sewamara (1977). The analysis shows that the use of concept of animals in Balinese proverbs reveal similar characteristics, whether their form, their nature, and their condition. Moreover, the cognitive processes which happen in resulting the proverb is by conceptualizing the experience which is felt by the body, the nature, and the characteristic which owned by the target with the purpose of describing event or experience by the speech community of Balinese. Analogically, the similarity of characteristic in the form of shape of source domain can be proved visually, while the characteristic of the nature and the condition can be proved through bodily and empirical experiences. Ecolinguistics parameters are used to construct of Balinese proverbs which happen due to cross mapping process. It is caused by the presence of close characteristic or biological characteristic which is owned by the source domain and target domain, especially between Balinese with animal which then are verbally recorded and further patterned in ideological, biological, and sociological dimensions.

Correlation alignment with attention mechanism for unsupervised domain adaptation

2021 ◽  
pp. 1-7
Author(s):  
Rong Chen ◽  
Chongguang Ren
Keyword(s):  
Natural Language Processing ◽  
Language Processing ◽  
Transfer Process ◽  
Negative Transfer ◽  
Domain Adaptation ◽  
Attention Mechanism ◽  
Target Domain ◽  
Source Domain ◽  
Second Order Statistics ◽  
Unsupervised Domain Adaptation

Domain adaptation aims to solve the problems of lacking labels. Most existing works of domain adaptation mainly focus on aligning the feature distributions between the source and target domain. However, in the field of Natural Language Processing, some of the words in different domains convey different sentiment. Thus not all features of the source domain should be transferred, and it would cause negative transfer when aligning the untransferable features. To address this issue, we propose a Correlation Alignment with Attention mechanism for unsupervised Domain Adaptation (CAADA) model. In the model, an attention mechanism is introduced into the transfer process for domain adaptation, which can capture the positively transferable features in source and target domain. Moreover, the CORrelation ALignment (CORAL) loss is utilized to minimize the domain discrepancy by aligning the second-order statistics of the positively transferable features extracted by the attention mechanism. Extensive experiments on the Amazon review dataset demonstrate the effectiveness of CAADA method.

Red-hot faces and burnt hearts

2021 ◽  
Vol 19 (2) ◽  
pp. 482-516
Author(s):  
Sérgio N. Menete ◽  
Guiying Jiang
Keyword(s):  
Heat Source ◽  
Conceptual Structure ◽  
Two Dimensions ◽  
Human Beings ◽  
Target Domain ◽  
Bodily Experience ◽  
Source Domain ◽  
African Languages

Abstract People from different languages draw from the knowledge they have from the domain of heat (source domain) and apply it to the domain of anger (target domain) through metaphor. This was also found to be the case with Amharic and Changana. Our study investigates how anger is metaphorically conceptualized in these two languages. Many similarities were found even though variations do exist cross-linguistically. It is suggested that the similarities between these languages in conceptualizing anger lie in the fact that human beings share the same bodily experience: (physiology) embodiment, even though variations may arise due to the differences in cultural embodiment (race, values and geographical localization, etc). The study seeks to demonstrate how these two dimensions contribute to the overall conceptual structure of anger is heat metaphor in these two (unrelated) African languages.

DAFI

2021 ◽  
Vol 5 (4) ◽  
pp. 1-21
Author(s):  
Hang Li ◽  
Xi Chen ◽  
Ju Wang ◽  
Di Wu ◽  
Xue Liu
Keyword(s):  
Indoor Localization ◽  
Domain Adaptation ◽  
Target Domain ◽  
Localization Accuracy ◽  
Source Domain ◽  
Fine Grained ◽  
Time Signals ◽  
Environmental Variations ◽  
Device Free ◽  
Localization Approach

WiFi-based Device-free Passive (DfP) indoor localization systems liberate their users from carrying dedicated sensors or smartphones, and thus provide a non-intrusive and pleasant experience. Although existing fingerprint-based systems achieve sub-meter-level localization accuracy by training location classifiers/regressors on WiFi signal fingerprints, they are usually vulnerable to small variations in an environment. A daily change, e.g., displacement of a chair, may cause a big inconsistency between the recorded fingerprints and the real-time signals, leading to significant localization errors. In this paper, we introduce a Domain Adaptation WiFi (DAFI) localization approach to address the problem. DAFI formulates this fingerprint inconsistency issue as a domain adaptation problem, where the original environment is the source domain and the changed environment is the target domain. Directly applying existing domain adaptation methods to our specific problem is challenging, since it is generally hard to distinguish the variations in the different WiFi domains (i.e., signal changes caused by different environmental variations). DAFI embraces the following techniques to tackle this challenge. 1) DAFI aligns both marginal and conditional distributions of features in different domains. 2) Inside the target domain, DAFI squeezes the marginal distribution of every class to be more concentrated at its center. 3) Between two domains, DAFI conducts fine-grained alignment by forcing every target-domain class to better align with its source-domain counterpart. By doing these, DAFI outperforms the state of the art by up to 14.2% in real-world experiments.

scholarly journals Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jun He ◽  
Xiang Li ◽  
Yong Chen ◽  
Danfeng Chen ◽  
Jing Guo ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Transfer Learning ◽  
Vibration Signal ◽  
Rolling Bearing ◽  
Learning Method ◽  
Target Domain ◽  
Source Domain ◽  
Second Order Statistics ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis

In mechanical fault diagnosis, it is impossible to collect massive labeled samples with the same distribution in real industry. Transfer learning, a promising method, is usually used to address the critical problem. However, as the number of samples increases, the interdomain distribution discrepancy measurement of the existing method has a higher computational complexity, which may make the generalization ability of the method worse. To solve the problem, we propose a deep transfer learning method based on 1D-CNN for rolling bearing fault diagnosis. First, 1-dimension convolutional neural network (1D-CNN), as the basic framework, is used to extract features from vibration signal. The CORrelation ALignment (CORAL) is employed to minimize marginal distribution discrepancy between the source domain and target domain. Then, the cross-entropy loss function and Adam optimizer are used to minimize the classification errors and the second-order statistics of feature distance between the source domain and target domain, respectively. Finally, based on the bearing datasets of Case Western Reserve University and Jiangnan University, seven transfer fault diagnosis comparison experiments are carried out. The results show that our method has better performance.

scholarly journals War Metaphors in Business: A Metaphostructional Analysis

2017 ◽  
pp. 61-78
Author(s):  
Jarosław Wiliński
Keyword(s):  
Target Domain ◽  
Source Domain ◽  
Degree Of Association

This paper adopts the notion of metaphostruction (Wiliński 2015), the conceptual theory of metaphor (Kӧvecses 2002) and the corpus-based method geared specifically for investigating the interaction between target domains and the source domain lexemes that occur in them. The method, referred to as metaphostructional analysis (Wiliński 2015), is used to determine the degree of association between the target domain of business and the source domain lexemes derived from military terminology. The results of the metaphostructional analysis reveal that there are indeed war terms that demonstrate strong or loose associations with the target domain of business, and that these instantiate different metaphorical mappings.

scholarly journals Hyperbolic markers in modeling hyperbole: a scenario-based account

2021 ◽  
Vol 85 ◽  
pp. 61-71
Author(s):  
Carla Ovejas Ramírez
Keyword(s):  
Cognitive Linguistics ◽  
Language Use ◽  
Meaning Construction ◽  
The Other ◽  
Target Domain ◽  
Real Situation ◽  
Source Domain ◽  
The Real ◽  
Theoretical Context ◽  
Hypothetical Scenario

This article discusses hyperbolic markers in modeling hyperbole from the perspective of a scenario-based account of language use within the framework of Cognitive Linguistics. In this view, hyperbole is seen as a mapping across two conceptual domains (Peña y Ruiz de Mendoza, 2017), a source domain, here relabeled as the magnified scenario, which contains a hypothetical unrealistic situation based on exaggeration, and a target domain or observable scenario which depicts the real situation addressed by the hyperbolic expression. Since the hypothetical scenario is a magnified version of the observable scenario, the mapping contains source-target matches in varying degrees of resemblance. Within this theoretical context, the article explores resources available to speakers for the construction of magnified scenarios leading to hyperbolic interpretation. Among such resources, we find hyperbole markers and the setting up of domains of reference. Finally, the article also discusses hyperbole blockers, which cancel out the activity of the other hyperbolic meaning construction mechanisms.

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