Beyond proportional analogy

1994 ◽  
Vol 2 (1) ◽  
pp. 95-129
Author(s):  
Eric Steinhart
Keyword(s):  
Constraint Satisfaction ◽  
Conceptual Structure ◽  
Relational Structure ◽  
Target Domain ◽  
Source Domain ◽  
Analogical Mapping ◽  
Mapping Process

A model of analogical mapping is proposed that uses five principles to generate consistent and conflicting hypotheses regarding assignments of elements of a source domain to analogous elements of a target domain. The principles follow the fine conceptual structure of the domains. The principles are: (1) the principle of proportional analogy; (2) the principle of mereological analogy, (3) the principle of chain reinforcement; (4) the principle of transitive reinforcement; and (5) the principle of mutual inconsistency. A constraint-satisfaction network is used to find the set of assignments that preserves the greatest relational structure of the source. In contrast to the model proposed here, most models of analogical mapping use only the principle of proportional analogy. The use of many principles is shown to be superior in that it permits smoother integration of pragmatic factors and results in a more efficient mapping process.

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.

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.

Galileo and the Mountains of the Moon: Analogical Reasoning, Models and Metaphors in Scientific Discovery

2004 ◽  
Vol 4 (3-4) ◽  
pp. 451-483 ◽  
Author(s):  
Marta Spranzi
Keyword(s):  
Analogical Reasoning ◽  
Scientific Discovery ◽  
The Moon ◽  
Target Domain ◽  
Source Domain ◽  
The Earth ◽  
Mapping Process ◽  
Salient Features

AbstractThis paper is about the use of analogical reasoning, models and metaphors in Galileo's discovery of the mountains of the moon, which he describes in the Starry Messenger, a short but groundbreaking treatise published in 1610. On the basis of the observations of the Moon he has made with the newly invented telescope, Galileo shows that the Moon has mountains and that therefore it shares the same solid, opaque and rugged nature of the Earth. I will first reconstruct Galileo's reasoning, and illustrate the counterintuitive and quasi-circular way in which discovery depends on analogy: in order for analogical reasoning to succeed in bridging ontological gaps and thus serve as a discovery tool, a certain similarity between what are considered as radically different domains has to be presupposed. More particularly, in order for analogical reasoning to lead to genuine discoveries, salient features have to be selected in the source domain that will be mapped onto the target domain. There is disagreement as to how this mapping is successfully carried out: the syntactical (Dedre Gentner), pragmatic (Paul Thagard) and ontological-categorical (Rom Harré) approaches, all illuminate some features of this selection in the mapping process. On the basis of an analysis of Galileo's discovery, I will argue that we need a different "bootstrapping" approach which involves the construction of an imaginary temporary model encompassing both the source and the target domains, and which is occasionally strengthened by metaphors which serve as incomplete transitional models.

scholarly journals Analogical mapping of ỌKỤKỌ proverbs in Ideke lect

2020 ◽  
pp. 31-40
Author(s):  
Virginus Onyebuchi ARUAH ◽  
Jacinta Ukamaka EZE ◽  
Stella Nkeiruka ARUAH-BUCHI ◽  
Augustina Ngozi EZE
Keyword(s):  
Cognitive Tasks ◽  
Abstract Concept ◽  
Linguistic Expression ◽  
Target Domain ◽  
Physical Concept ◽  
Source Domain ◽  
Analogical Mapping ◽  
Relational Mapping ◽  
Enugu State ◽  
Mapping Theory

This study examines how analogical mapping is used to analyse ọkụkọ proverbs in Ideke lect. The objectives of the study are to analyse the attribute and relational mapping of selected ọkụkọ proverbs in Ideke lect. The data of the study are drawn from ọmaba chant of Ụmụdịaka in Nsukka area of Enugu State, through an audio recording of Ụdara Nwa onyishi (Ọmabe) chant and also the study uses introspection since the researchers are indigenous speakers of the Ideke lect. The research desgn used in this study is a qualitative research paradigm. The study was done descriptively and purposive sampling was used to sample the population. The analogical mapping theory is adopted as the framework for this study. The study finds out that ọkụkọ proverbs in Ideke lect has abstract meanings which contradict the physical (source concepts) image. Another finding of the study proves that in Ideke lect, ọkụkọ as used in this study possess different semantic impulse due to the sociolinguistic environment where such proverbs are being used. These different shades of meanings will be gotten by aligning the physical concept to abstract concept(s). During the analysis of ọkụkọ proverbs in Ideke lect, it is evident that source domain is liable to form various new abstract semantic realisations which was not the initial semantic usage of the linguistic expression. From the semantic purview, proverbs are complex cognitive tasks which links source domain to the target domain.

The inflexibility of invariance

1999 ◽  
Vol 8 (2) ◽  
pp. 125-142 ◽  
Author(s):  
Peter Stockwell
Keyword(s):  
Cognitive Linguistics ◽  
Alternative Solution ◽  
Target Domain ◽  
Cognitive Poetics ◽  
Source Domain ◽  
George Lakoff ◽  
Mapping Process ◽  
Invariance Hypothesis ◽  
Metaphorical Mapping ◽  
Linguistic Basis

The Invariance Hypothesis was originally proposed by George Lakoff and Mark Turner in 1989. Since then, a range of versions has evolved so that there are currently both strong and weak statements of it. In general, the Invariance Hypothesis suggests a constraint on the information carried in a metaphorical mapping, as modelled in cognitive linguistics. It seeks to preserve the receiver’s knowledge about the target domain of a metaphor, so that the target retains its basic conceptual integrity in the mapping process. In other words, only that amount of the source domain that is consistent with the preservation of the target is mapped. Invariance is proposed to resolve a perceived problem in accounting for some metaphors, in order to sustain the claims of cognitive linguistics to be a useful and applicable model of language. However, I believe that this is mistaken, and that acceptance of the Invariance Hypothesis is itself a threat to the value of cognitive linguistics, as applied to literature (where it has come to be called cognitive poetics or cognitive stylistics). I will use literary examples to argue for the rejection of the Invariance Hypothesis, which curtails the perception of metaphor as creative, and cannot explain its capacity for reference to a new sense beyond source and target. This limitation is counter to the larger claims of cognitive linguistics concerning the linguistic basis and embodiment of culture and perception. Finally, I suggest an alternative solution, arising from the analysis of literary examples, which preserves the general value of cognitive linguistics while escaping the inflexibility of invariance.

Extended Metaphor—a Text-World Account

1994 ◽  
Vol 3 (2) ◽  
pp. 79-103 ◽  
Author(s):  
Paul Werth
Keyword(s):  
Structural Property ◽  
Conceptual Structure ◽  
Target Domain ◽  
Text Linguistics ◽  
Source Domain ◽  
Discourse Model ◽  
Sentence Level ◽  
Literary Metaphor ◽  
Linguistic Approaches

The essential structural property of metaphor is that it represents a double-layered conceptualisation of the target domain (the ‘literal’ or ‘tenor’ language) in terms of the source domain (the ‘figurative’ or ‘vehicle’ language). Most linguistic approaches to metaphor provide sentence-level accounts of the phenomenon. But literary metaphor is frequently discursive: there is an entire metaphorical ‘undercurrent’ running through a whole text, which may manifest itself in a large number and variety of ‘single’ metaphors. What is needed, therefore, is (i) a way of accounting for metaphor discursively, rather than sententially; (ii) a way of dealing with the resolving ‘undercurrent’ stratum rather than the superficial ‘single metaphor’ stratum; and (iii) a way of representing the double-layered conceptual structure of metaphors. A new conceptual discourse model of text-worlds is presented here, which naturally captures the conceptual layering inherent in language generally (and not just in metaphor), which treats the ‘undercurrent’ aspect as being equivalent to ‘gist’ or ‘macrostructure’ in text linguistics (using the concept of the ‘megametaphor’), and which automatically provides a discursive account of the phenomenon of extended, or sustained, metaphor.

scholarly journals CONCEPTUAL METAPHORS IN SHAKESPEARE’S TRAGEDIES OTHELLO, HAMLET, KING LEAR AND MACBETH – LIFE AND DEATH (KONCEPTUALNA METAFORA U ŠEKSPIROVIM TRAGEDIJAMA OTELO, HAMLET, KRALJ LIR I MAKBET – ŽIVOT I SMRT)

2019 ◽  
Vol X (28) ◽  
pp. 127-144
Author(s):  
Mirka Ćirović
Keyword(s):  
King Lear ◽  
Abstract Concepts ◽  
Linguistic Expression ◽  
Target Domain ◽  
Conceptual Metaphors ◽  
Source Domain ◽  
Life And Death ◽  
Mapping Process ◽  
The Subject ◽  
Insight Into

This work analyzes conceptual metaphors in metaphorical linguistic expressions which are extracted from Shakespeare’s four major plays Othello, Hamlet, King Lear and Macbeth. Metaphorical linguistic expressions selected from the plays refer to abstract concepts of life and death, which preoccupied Shakespeare in his tragedies. In order to understand the four plays mentioned and individual lines in them, it is very importnat to gain insight into how Shakespeare’s characters, Shakespeare himself and man in general reason about existential questions and questions of purpose which have always been the subject of our contemplation. By identifying and analyzing conceptual metaphors in the base of metaphorical linguistic expressions that talk about life and death, we will be able to illustrate the process of mapping that goes on between the source and target domains. The mapping process will clearly indicate how it is that we understand and reason about abstract concepts of life and death while relying on concrete and physical concepts from our vicinity. Conceptual metaphors given in small caps such as life is theatre or death is sleep mean that expressions exactly like these are not to be found in Shakespeare’s plays. They are a mechanism that we all have and use to understand thoughts of immense philosophical power and psychological depth. This same mechanism is also used by the greatest of writers and poets in the expression of their literary genious. Key Words: conceptual metaphor, life, death, etaphorical linguistic expression, mapping, source domain, target domain, Shakespeare, Othello, Hamlet, King Lear, Macbeth

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.

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.

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