Journal articles: 'Aspect'

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McNeill, David. "Aspects of aspect." Gesture 3, no. 1 (October 16, 2003): 1–17. http://dx.doi.org/10.1075/gest.3.1.02mcn.

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Performing an action and concurrently describing it creates possibilities for observing how speech and action are synchronized and mutually shape each other. The results to be described show that iconicity is an organizing principle of motion control — actions are performed in relation to speech in such a way as to create an image of the meaning in part. Four English-speaking subjects described their goal-directed actions, step by step, as they assembled a small aquarium. Among the factors observed to have an impact on synchrony are, in speech, perfectivity (imperfective or perfective) and, in action, the logical form of the action (Vendler’s activities, accomplishments and achievements). These factors must be considered jointly. Depending on the logical form, speakers placed the linguistic center (‘L-Center’) of the description — the satellite or a preposition in the case of activities and accomplishments; the verb itself in the case of achievements — in such a way as to recreate the aspectual viewpoint concurrently encoded in speech. Imperfective aspect was indexed with progressive verbs. L-Centers with this aspect were placed inside or prior to the completion of the action. Perfective aspect was indexed with non-progressive verbs. L-Centers of this kind were placed after the action. In addition, the actions themselves were longer with imperfective aspect, even when the same logical form of action was involved. Non-functional movements were added to goal-directed actions to help create the imperfective aspect, and both speech and action timing were adjusted to create the aspectual viewpoint. These patterns are reminiscent of the perfectivity differences in gesture performance described by S. Duncan (2003) for Mandarin and English. Motor movements adapt to language in a way similar to gestures. Theoretically, there is a three-sided synchrony of two forms of motor action (speech, manual manipulation) and the logical form of the action. The theoretical discussion considers two ramifications: the implications for ‘cognitive being’ of building aspect into action, which suggests a mechanism of the mutual shaping of speech and action; and the brain organization that might underlie the three-sided synchrony, with emphasis on the role of BA 44 and BA 45 (‘mirror neurons’), collectively ‘Broca’s Area’, in the orchestration of actions under some meaning (actions of gesture, manipulation, and speech); these areas include language but are broader in function than the classical term ‘language area’ implies.

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Colyer, A., and A. Clement. "Aspect-oriented programming with AspectJ." IBM Systems Journal 44, no. 2 (2005): 301–8. http://dx.doi.org/10.1147/sj.442.0301.

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Cover, Rebecca T. "Modal aspects of Badiaranke aspect." Lingua 121, no. 8 (June 2011): 1315–43. http://dx.doi.org/10.1016/j.lingua.2010.12.010.

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Andrade, Carlos A. R., André L. M. Santos, and Paulo H. M. Borba. "AspectH: Uma Extensão Orientada a Aspectos de Haskel." Revista de Informática Teórica e Aplicada 11, no. 2 (December 20, 2004): 21–32. http://dx.doi.org/10.22456/2175-2745.5980.

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This paper presents an extension of the Haskell programming language with the objective of improving modularization of functional programs. This extension, AspectH, extends Haskell with aspect oriented concepts. AspectH implements Aspect-Oriented Programming (AOP) through pointcuts and advice, like in AspectJ, and was designed to be used in Haskell programs that use monads. Keywords: Aspect-oriented programming, functional programming, Haskell, monads

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Nesset, Tore. "Metonymy of Aspect/Aspects of Metonymy." Scando-Slavica 55, no. 1 (November 2009): 65–77. http://dx.doi.org/10.1080/00806760903175409.

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Vidal Silva, Cristian, Rodrigo Saens, Carolina Del Río, and C. Villarroel. "OOAspectZ and aspect-oriented UML class diagrams for Aspect-oriented software modelling (AOSM)." Ingeniería e Investigación 33, no. 3 (September 1, 2013): 66–71. http://dx.doi.org/10.15446/ing.investig.v33n3.41048.

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Regarding modularised software development, Aspect-oriented programming (AOP) identifies and represents individually crosscutting concerns during the software development cycle's programming stage. This article proposes and applies OOAspectZ to formal Aspect-oriented requirement specifications for prior stages of the software development cycle. It particularly concerns requirement specification and the structural design of data and behaviour, along with describing and applying Aspect-oriented UML class diagrams to designing classes, aspects and associations among classes and aspects during Aspect-oriented software development (AOSD). OOAspectZ is a language integrating both Object-Z and AspectZ formal languages whereas Aspect-oriented UML class diagrams represent AOP code, object class and crosscutting concern class structure by means of stereotypes. This article shows and applies the main OOAspectZ and AO UML class diagram characteristics to Aspect-oriented software modelling (AOSM) using a classic example of AOP. Ideas for future work concerning an actual AOP version are also indicated.

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Colyer, A. "Review: AspectJ in Action--Practical Aspect-Oriented Programming * Ramnivas Laddad: AspectJ in Action--Practical Aspect-Oriented Programming." Computer Journal 47, no. 1 (January 1, 2004): 134–35. http://dx.doi.org/10.1093/comjnl/47.1.134-a.

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Ghareb, Mazen Ismaeel, and Gary Allen. "IMPROVING THE DESIGN AND IMPLEMENTATION OF SOFTWARE SYSTEMS USES ASPECT ORIENTED PROGRAMMING." Journal of University of Human Development 1, no. 3 (August 31, 2015): 362. http://dx.doi.org/10.21928/juhd.v1n3y2015.pp362-368.

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Aspect Oriented Programming (AOP) is a technique used to enhance the separation of concern in software design and implementation. To implement AOP developers most commonly use AspectJ, an extension of the Java language. In order to represent the separation of concerns a new design technique is needed for modeling of aspects. Aspect Oriented Design language (ASDL) is a design notation could build on the existing design language UML. It is capable of supporting many aspects-oriented languages. This research aims to investigate where developers can use aspect-oriented programming in the software development process. This includes how to identify Aspects in the design stage, then how they can be applied in the implementation process in software development. This will lead to improve modularity and reusability of the software. The paper will be a position paper abut Aspect Oriented Software Design, also will investigate several case studies of the design and implementation of a software application that shows how we can identify the Aspect in the process.

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Ghanem, Kinan, Haysam Al-Radwan, and Ahmad Ahmad. "The Effect of Overlapping Area on Ping-Pong Handover in LTE Networks." Journal of University of Human Development 1, no. 3 (August 31, 2015): 369. http://dx.doi.org/10.21928/juhd.v1n3y2015.pp369-375.

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Aspect Oriented Programming (AOP) is a technique used to enhance the separation of concern in software design and implementation. To implement AOP developers most commonly use AspectJ, an extension of the Java language. In order to represent the separation of concerns a new design technique is needed for modeling of aspects. Aspect Oriented Design language (ASDL) is a design notation could build on the existing design language UML. It is capable of supporting many aspects-oriented languages. This research aims to investigate where developers can use aspect-oriented programming in the software development process. This includes how to identify Aspects in the design stage, then how they can be applied in the implementation process in software development. This will lead to improve modularity and reusability of the software. The paper will be a position paper abut Aspect Oriented Software Design, also will investigate several case studies of the design and implementation of a software application that shows how we can identify the Aspect in the process.

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Santhi, K., G. Zayaraz, and V. Vijayalakshmi. "Resolving Aspect Dependencies for Composition of Aspects." Arabian Journal for Science and Engineering 40, no. 2 (November 26, 2014): 475–86. http://dx.doi.org/10.1007/s13369-014-1454-3.

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Bochnak, M. Ryan. "Some Aspects of Aspect in Wá∙šiw." International Journal of American Linguistics 89, no. 1 (January 1, 2023): 1–38. http://dx.doi.org/10.1086/722242.

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Jin, Lixin, Wei Wang, Kun Xie, Xiaohua Wang, and Xiaodong Tang. "Perfective aspect and perfect aspect." International Journal of Chinese Linguistics 8, no. 2 (December 31, 2021): 177–203. http://dx.doi.org/10.1075/ijchl.20003.jin.

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Abstract The “perfective” (Chinese term: wánzhěngtǐ) and the “perfect”(Chinese term: wánchéngtǐ) seem to be two different terms that are distinguished by definition. But in the description of actual languages, the boundary between them is not clear. The use of these two terms in many literatures is very arbitrary. This arbitrariness frequently causes confusion in typological studies in tense and aspect. This arbitrary use has a lot to do with the classification and definition of Comrie (1976). Based on a description of the perfective/imperfective distinction in Russian, this paper finds that perfective is sensitive to the inner boundaries of events, and perfect is sensitive to the relation between event time and reference time. Based on a description of the four aspectual markers (zhe, le, guo, and zai) in Mandarin Chinese, this paper finds that they respectively express three different event phases (inchoative, durative and terminative) in realization aspect. The present study shows that Mandarin is not a language sensitive to boundaries of events, but to phasal aspect. Phasal aspect also exists in Japanese.

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Busst, Mikail Bin Muhammad Azman, Kalaiarasi Sonai Muthu Anbananthen, and Subarmaniam Kannan. "Aspect-Level Sentiment Analysis through Aspect-Oriented Features." HighTech and Innovation Journal 5, no. 1 (March 1, 2024): 109–28. http://dx.doi.org/10.28991/hij-2024-05-01-09.

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Aspect-level sentiment analysis is essential for businesses to comprehend sentiment polarities associated with various aspects within unstructured texts. Although several solutions have been proposed in recent studies in sentiment analysis, a few challenges persist. A significant challenge is the presence of multiple aspects within a single written text, each conveying its own sentiments. Besides this, the exploration of ensemble learning in the existing literature is limited. Therefore, this study proposes a novel aspect-level sentiment analysis solution that utilizes an ensemble of Bidirectional Long Short-Term Memory (BiLSTM) models. This innovative solution extracts aspects and sentiments and incorporates a rule-based algorithm to combine accurate sets of aspect and sentiment features. Experimental analysis demonstrates the effectiveness of the proposed methodology in accurately extracting aspect-level sentiment features from input texts. The proposed solution was able to obtain an F1 score of 92.98% on the SemEval-2014 Restaurant dataset when provided with the correct set of aspect-level sentiment features and an F1 score of 95.54% on the SemEval-2016 Laptop dataset when provided with the aspect-level sentiment features generated by the aspect-sentiment mapper algorithm. Doi: 10.28991/HIJ-2024-05-01-09 Full Text: PDF

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Sri Laksmi Dewi and I Ketut Mustika. "TINGKAT KESEHATAN KOPERASI PEGAWAI NEGERI WERDHI GUNA KARANGASEM." Journal of Applied Management Studies 3, no. 1 (December 2, 2021): 107–14. http://dx.doi.org/10.51713/jamms.v3i1.47.

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This study aims to analyze the Health Level Assessment of the Werdhi Guna Civil Servant Cooperative 2015 - 2019 based on the capital aspect, productive asset quality aspect, management aspect, efficiency aspect, liquidity aspect, independence and growth aspect, and cooperative identity aspect; This research is a type of quantitative descriptive research. The subjects of this study were the Civil Servant Cooperative Werdhi Guna Karangasem; The object evaluated in this study is the cooperative's health level in terms of capital, productive asset quality, management aspect, efficiency aspect, liquidity aspect, independence and growth aspect, and cooperative identity aspect. Data collection in this study was carried out by distributing questionnaires and documentation. Data analysis is based on the Regulation of the Deputy for Supervision of the Ministry of Cooperatives and Small and Medium Enterprises of the Republic of Indonesia Number: 06/Per/Dep.6/IV/2016. The results showed: (1) The Health Level of the Werdhi Guna Karangasem Civil Servant Cooperative in 2015-2019 in terms of capital aspects, productive asset quality aspects, management aspects, efficiency aspects, liquidity aspects, independence and growth aspects, and cooperative identity aspects were in the predicate quite healthy

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Sukhorukov, Aleksandr. "Problems of test-driven aspect-oriented development." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 180–86. http://dx.doi.org/10.2478/v10143-009-0016-8.

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Problems of test-driven aspect-oriented developmentTest-driven development and aspect-oriented programming are relatively new development techniques each having its own benefits. However, using aspect-oriented language like AspectJ in test-driven development leads to new types of problems that do not appear if these two approaches are applied separately. These problems arise mainly because aspect-oriented paradigm breaks encapsulation principle - behaviour of class is not implemented just in class itself like in traditional object-oriented programming but can be heavily affected by many external aspects. Traditional unit tests designed to test a single unit are not sufficient any more because behaviour being tested is distributed through several units at once, so test design becomes more complicated. In order to efficiently use these two techniques together such problems have to be identified and ways to workaround them have to be discovered. This paper focuses on those problems, describing the most notable ones. Problem descriptions are based on experience with AspectJ, but most of them are common to any aspect-oriented language with similar features. Some empirically discovered principles are provided that help softening negative impact of those problems.

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Dewanti, Amara, Jejem Mujamil, and Eka Ad'hiya. "ANALISIS ASPEK LITERASI PADA BUKU TEKS PELAJARAN IPA KELAS VIII MATERI ZAT ADITIF & ZAT ADIKTIF." Jurnal Penelitian Pendidikan Kimia: Kajian Hasil Penelitian Pendidikan Kimia 9, no. 1 (June 29, 2022): 22–27. http://dx.doi.org/10.36706/jppk.v9i1.17891.

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This study is aims to obtain information on aspects of scientific literacy in science textbooks for class VIII odd semester materials for additives & addictive substances. The research instrument used in this study consisted of aspects of scientific knowledge, aspects of scientific competences and aspects of the context of science. The results of the research in books A and B shown that of the three aspects of scientific literacy, the scientific knowledge aspect has an average percentage of 69.45%, the scientific competences aspect has an average percentage of 22.52%, and the science context aspect has an average percentage of 69.45%. the average percentage is 8.03%. In book A, the science knowledge aspect is 67.74%, the science competences aspect is 25.81% and the science context aspect is 6.45%. Meanwhile, in book B the scientific knowledge aspect is 71.15%, the scientific competences aspect is 19.23% and the science context aspect is 9.62%. This shows that book B contains more aspects of scientific knowledge and aspects of the context of science and book A contains more aspects of scientific competences.

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Chaker, S. "Aspect." Encyclopédie berbère, no. 7 (January 1, 1989): 971–77. http://dx.doi.org/10.4000/encyclopedieberbere.1193.

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Jackson, Daniel. "Aspect." ACM Transactions on Software Engineering and Methodology 4, no. 2 (April 1995): 109–45. http://dx.doi.org/10.1145/210134.210135.

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Noh, Yunseok, Seyoung Park, and Seong-Bae Park. "Aspect-Based Sentiment Analysis Using Aspect Map." Applied Sciences 9, no. 16 (August 8, 2019): 3239. http://dx.doi.org/10.3390/app9163239.

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Aspect-based sentiment analysis (ABSA) is the task of classifying the sentiment of a specific aspect in a text. Because a single text usually has multiple aspects which are expressed independently, ABSA is a crucial task for in-depth opinion mining. A key point of solving ABSA is to align sentiment expressions with their proper target aspect in a text. Thus, many recent neural models have applied attention mechanisms to learning the alignment. However, it is problematic to depend solely on attention mechanisms to achieve this, because most sentiment expressions such as “nice” and “bad” are too general to be aligned with a proper aspect even through an attention mechanism. To solve this problem, this paper proposes a novel convolutional neural network (CNN)-based aspect-level sentiment classification model, which consists of two CNNs. Because sentiment expressions relevant to an aspect usually appear near the aspect expressions of the aspect, the proposed model first finds the aspect expressions for a given aspect and then focuses on the sentiment expressions around the aspect expressions to determine the final sentiment of an aspect. Thus, the first CNN extracts the positional information of aspect expressions for a target aspect and expresses the information as an aspect map. Even if there exist no data with annotations on direct relation between aspects and their expressions, the aspect map can be obtained effectively by learning it in a weakly supervised manner. Then, the second CNN classifies the sentiment of the target aspect in a text using the aspect map. The proposed model is evaluated on SemEval 2016 Task 5 dataset and is compared with several baseline models. According to the experimental results, the proposed model does not only outperform the baseline models but also shows state-of-the-art performance for the dataset.

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KUMAR, AVADHESH, RAJESH KUMAR, and P. S. GROVER. "UNIFIED COHESION MEASURES FOR ASPECT-ORIENTED SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 21, no. 01 (February 2011): 143–63. http://dx.doi.org/10.1142/s0218194011005128.

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Aspect-Oriented Programming (AOP) is an emerging technique that provides a means to clearly encapsulate and implement aspects that crosscut other modules. However, despite an interesting body of work for measuring cohesion in Aspect-Oriented (AO) Systems, there is poor understanding of cohesion in the context of AOP. Most of the proposed cohesion assessment frameworks and metrics for AOP are for AspectJ programming language. In this paper, we have defined a generic cohesion framework that takes into account, two well-known families of available AOP languages viz, AspectJ and CaesarJ. This unified framework contributes in better understanding of cohesion in AO technology, which can contribute in (i) comparing measures and their potential use, (ii) integrating different existing measures, which examine the same concept in different ways, and (iii) defining new cohesion metrics, which in turn permits the analysis and comparison of Java, AspectJ and CaesarJ implementations. Correlation analysis between cohesion and changeability has also been performed. The correlation factor value indicates that cohesion cannot be used as an indicator of changeability.

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Hasina, Juriani Musurifu, Haeurn Ana, and Fahruddin Hanafi. "KEMAMPUAN MENULIS CERITA FANTASI SISWA KELAS VII SMP NEGERI SATU ATAP 1 MAROBO." Jurnal Bastra (Bahasa dan Sastra) 5, no. 2 (May 10, 2020): 196. http://dx.doi.org/10.36709/jb.v5i2.13987.

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Abstract : The problem in this research is how the students' ability to write fantasy stories on the aspect of suitability of the content with the title, orientation aspects, complications aspects, aspects of resolution, aspects of pronouns / names of people, aspects of word choice, aspects of conjunctions of time sequence, word expressions / surprise, and aspects of using direct dialogue / sentences? The purpose of this research is to describe the ability to write fantasy stories on the aspects of suitability of the content with the title, orientation aspects, complications, aspects of resolution, aspects of pronouns / names of people, aspects of word choice, aspects of conjunctions of time sequence, words of surprise, and aspects of dialogue usage. /direct sentence. This type of research is classified as field research. The method used is descriptive quantitative method. Based on the results of data analysis, it can be concluded that the ability to write fantasy stories of seventh grade students of SMP Negeri Satu Atap 1 Marobo, Muna Regency is in the individually capable category. This is evidenced by the 61 students who were used as the research sample, there were 53 students (86.88%) who were in the capable category individually and there were 8 students (13.12%) who were categorized as unable individually. Classically, the ability to write fantasy stories of seventh grade students of SMP Negeri Satu Atap 1 Marobo, Muna Regency, falls into the classically capable category. It is said to be capable because students who individually achieve at least 70% ability of 86.88% reach the classically capable category, namely 85%. It can be seen from the ability level of class VII students of SMP Negeri One Roof 1 Marobo, Muna Regency in every aspect of assessment, aspect of resolution, aspect the conjunctive order of the time and the aspect of the expression of the words surprised completely classically, because it has reached 85% classical completeness. Meanwhile, the aspect of content conformity with the title, orientation aspect, complications, pronouns / names of people, choice of words and use of direct dialogue / sentence are not classically complete because they have not reached 85% classical completeness. The aspect of using surprised expressions is in the best percentage, namely (91.80%), the aspect of writing resolution (88.52%), the aspect of using conjunctions of time sequence (86.88%), the aspect of writing pronouns / people's names (65 , 57), the aspect of content suitability with the title (63.93%), the complication writing aspect (63.93%), the orientation writing aspect (59.01%), the word choice aspect (55.73%), and the dialogue usage aspect. / direct sentence is in the lowest rank by reaching the percentage (45.90%). Key words: fantasy story; ability, writing; essay

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Chen, Zhe, Yunlong Zhu, and Zhemin Wang. "Design and Implementation of an Aspect-Oriented C Programming Language." Proceedings of the ACM on Programming Languages 8, OOPSLA1 (April 29, 2024): 642–69. http://dx.doi.org/10.1145/3649834.

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Aspect-Oriented Programming (AOP) is a programming paradigm that implements crosscutting concerns in a modular way. People have witnessed the prosperity of AOP languages for Java and C++, such as AspectJ and AspectC++, which has propelled AOP to become an important programming paradigm with many interesting application scenarios, e.g., runtime verification. In contrast, the AOP languages for C are still poor and lack compiler support. In this paper, we design a new general-purpose and expressive aspect-oriented C programming language, namely Aclang, and implement a compiler for it, which brings fully-fledged AOP support into the C domain. We have evaluated the effectiveness and performance of our compiler against two state-of-the-art tools, ACC and AspectC++. In terms of effectiveness, Aclang outperforms ACC and AspectC++. In terms of performance, Aclang outperforms ACC in execution time and outperforms AspectC++ in both execution time and memory consumption.

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Mir, Jibran, and Azhar Mahmood. "Movie Aspects Identification Model for Aspect Based Sentiment Analysis." Information Technology And Control 49, no. 4 (December 19, 2020): 564–82. http://dx.doi.org/10.5755/j01.itc.49.4.25350.

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Aspect Based Sentiment Analysis techniques have been applied in several application domains. From the last two decades, these techniques have been developed mostly for product and service application domains. However, very few aspect-based sentiment techniques have been proposed for the movie application domain. Moreover, these techniques only mine specific aspects (Script, Director, and Actor) of a movie application domain, nevertheless, the movie application domain is more complex than the product and service application domain. Since, it contains NER (Named Entity Recognition) problem and it cannot be ignored, since there is an opinion often associated with it. Consequently, in this paper MAIM (Movie Aspect Identification Model) is proposed that can extract not only movie specific aspects, also identifies NEs (Named Entities) such as Person Name and Movie Title. The three main contributions are 1) the identification of infrequent aspects, 2) the identification of NE (named entity) in movie application domain, 3) identifying N-gram opinion words as an entity. MAIM incorporates the BiLSTM-CRF hybrid technique and is implemented on the movie application domain having precision 89.9%, recall 88.9% and f1-measure 89.4%. The experimental results show that MAIM performs better than baseline models CRF and LSTM-CRF.

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VEISI HASAR, Rahman, and Mohammad AHMADNEJAD. "Aspects of Aspect: Phasic and Episodic Dimensions of Verbs." Acta Linguistica Asiatica 9, no. 2 (July 30, 2019): 9–52. http://dx.doi.org/10.4312/ala.9.2.9-52.

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The present study sets out to analyze aspectuality and coercion in Persian from a new perspective. With regard to the transcendental aspectual distinction between perfectivity, characterized by boundedness and heterogeneity, and imperfectivity, specified by uniformity and homogeneity (Langacker, 2008), it is argued that the heterogeneity of verbs may be assessed according to their phasic and episodic variables. In other words, in contrast to homogeneous verbs, which lack any kind of boundedness, heterogeneous verbs may occur either in a bounded phasic domain or in a bounded episodic domain. Concerning phasic-episodic features, this study presents a new model of lexical aspect that can differentiate five aspectual categories. The paper also scrutinizes the combinations of different verbs with different sentential operators in order to explain various kinds of type-shifting triggered by different operators. Thereby, two procedures of phasic coercion and episodic coercion are introduced which are responsible for modifying the phasic and episodic features of verbs in order to resolve the semantic conflicts between verbs and sentential operators. These procedures modify the phasic/episodic attributes of verbs according to the viewing frames evoked by interpretative operators.

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Wan, Hai, Yufei Yang, Jianfeng Du, Yanan Liu, Kunxun Qi, and Jeff Z. Pan. "Target-Aspect-Sentiment Joint Detection for Aspect-Based Sentiment Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 9122–29. http://dx.doi.org/10.1609/aaai.v34i05.6447.

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Aspect-based sentiment analysis (ABSA) aims to detect the targets (which are composed by continuous words), aspects and sentiment polarities in text. Published datasets from SemEval-2015 and SemEval-2016 reveal that a sentiment polarity depends on both the target and the aspect. However, most of the existing methods consider predicting sentiment polarities from either targets or aspects but not from both, thus they easily make wrong predictions on sentiment polarities. In particular, where the target is implicit, i.e., it does not appear in the given text, the methods predicting sentiment polarities from targets do not work. To tackle these limitations in ABSA, this paper proposes a novel method for target-aspect-sentiment joint detection. It relies on a pre-trained language model and can capture the dependence on both targets and aspects for sentiment prediction. Experimental results on the SemEval-2015 and SemEval-2016 restaurant datasets show that the proposed method achieves a high performance in detecting target-aspect-sentiment triples even for the implicit target cases; moreover, it even outperforms the state-of-the-art methods for those subtasks of target-aspect-sentiment detection that they are competent to.

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KALKO, Mykola. "CATEGORY ASPECT: INVARIANT PROBLEM ASPECTS, STATUS AND CHARACTER OF THE ASPECTS OPPOSITION." CHERKASY UNIVERSITY BULLETIN: PHILOLOGICAL SCIENCES 2 (2019): 35–45. http://dx.doi.org/10.31651/2076-5770-2018-2-35-45.

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Vidal-Silva, C. L., E. Madariaga, T. Pham, F. Johnson, L. A. Urzua, and L. Carter. "JPIAspectZ: A Formal Requirement Specification Language for Joint Point Interface AOP Applications." Engineering, Technology & Applied Science Research 9, no. 4 (August 10, 2019): 4338–41. http://dx.doi.org/10.48084/etasr.2774.

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Aspect-oriented software development (AOSD) solves a few issues of the object-oriented software development (OOSD) approach and adds a few more concerning modules and their relationships. Join point interface (JPI) is an AOSD methodology that by the definition of the interface between advised artifacts and aspects solves associated AOSD issues to get software with a high modularity level. Looking for a JPI software development approach, this article proposes and exemplifies the use of JPIAspectZ, an extension of the formal aspect-oriented language AspectZ for the software JPI requirement specifications. Mainly, JPIAspectZ looks for a concept and model consistency in a JPI software development process. Since the main JPI characteristics are the joining point interfaces definitions, i. e. explicit associations definition between aspects and advised modules, thus, by JPI, classes are no longer oblivious of possible interaction with aspects, and aspects, for their action effectiveness, do not depend anymore on signatures of advisable module components. JPIAspectZ fully supports these JPI principles. As JPI application examples, this article shows the formal requirements specification for classic aspect-oriented and JPI examples, along with describing the advantages and disadvantages of this language.

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Mar, Aye Aye, Kiyoaki Shirai, and Natthawut Kertkeidkachorn. "Weakly Supervised Learning Approach for Implicit Aspect Extraction." Information 14, no. 11 (November 13, 2023): 612. http://dx.doi.org/10.3390/info14110612.

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Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much attention. This paper proposes a novel weakly supervised method for implicit aspect extraction, which is a task to classify a sentence into a pre-defined implicit aspect category. A dataset labeled with implicit aspects is automatically constructed from unlabeled sentences as follows. First, explicit sentences are obtained by extracting explicit aspects from unlabeled sentences, while sentences that do not contain explicit aspects are preserved as candidates of implicit sentences. Second, clustering is performed to merge the explicit and implicit sentences that share the same aspect. Third, the aspect of the explicit sentence is assigned to the implicit sentences in the same cluster as the implicit aspect label. Then, the BERT model is fine-tuned for implicit aspect extraction using the constructed dataset. The results of the experiments show that our method achieves 82% and 84% accuracy for mobile phone and PC reviews, respectively, which are 20 and 21 percentage points higher than the baseline.

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Savanur, Sandhya Raghavendra, Sumathi Ranganathaiah, and Shreedhara Kondajji Srinivasamurthy. "AlgoDM: algorithm to perform aspect-based sentiment analysis using IDistance matrix." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 4 (August 1, 2024): 4273. http://dx.doi.org/10.11591/ijece.v14i4.pp4273-4286.

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Sentiment analysis is a method of analyzing data to identify its intent. It identifies the emotional tone of a text body. Aspect-based sentiment analysis is a text analysis technique that identifies the aspect and the sentiment associated with each aspect. Different organizations use aspect-based sentiment analysis to analyze opinions about a product, service, or idea. Traditional sentiment analysis methods analyze the complete text and assign a single sentiment label to it. They do not handle the tasks of aspect association, dealing with multiple aspects and inclusion of linguistic concepts together as a system. In this article, AlgoDM, an algorithm to perform aspect-based sentiment analysis is proposed. AlgoDM uses a novel concept of IDistance matrix to extract aspects, associate aspects with sentiment words, and determine the sentiment associated with each aspect. The IDistance matrix is constructed to calculate the distance between aspects and the words expressing the sentiment related to the aspect. It works at the sentence level and identifies the opinion expressed on each aspect appearing in the sentence. It also evaluates the overall sentiment expressed in the sentence. The proposed algorithm can perform sentiment analysis of any opinionated text.

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Lailatul, Apriliana, and Tina Melinda. "Feasibility Study Of Religion Tourism Business For The Young People." TRIKONOMIKA 17, no. 1 (September 17, 2018): 20. http://dx.doi.org/10.23969/trikonomika.v17i1.637.

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The goal of the research is to find out the feasibility of the development of the travel service business and backpacker Umrah Easy Trip that was developed by young people. It is reviewed based on five aspects of business feasibility study including: market aspect, legal aspect, technical and technological aspect, management aspect and financial aspect. A qualitative approach is used in this study by using the interview. Five interviewees consisting of three owners of backpacker Umrah service and two consumers of backpacker Umrah. Result of the study mentioned that the business of backpacker Umrah is reasonable to be run and developed if it is reviewed of the five aspects of the business feasibility study, namely: market aspect, legal aspect, technical aspect and technological aspect, management aspect and financial aspect. Easy Trip should learn from business owners who already ran the backpacker Umrah to develop backpacker Umrah who has already pioneered.

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Tantri, Niki Raga. "KEHADIRAN SOSIAL DALAM PEMBELAJARAN DARING BERDASARKAN SUDUT PANDANG PEMBELAJAR PENDIDIKAN TERBUKA DAN JARAK JAUH." Jurnal Pendidikan Terbuka Dan Jarak Jauh 19, no. 1 (March 29, 2018): 19–30. http://dx.doi.org/10.33830/ptjj.v19i1.310.2018.

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This research describes whether the social presence can be obtained from online learning of distance education setting. Data in this study employed questionnaire adapted from Rovai (2002) which identified 3 aspects of social presence, namely connectedness aspect, learning aspect, and socio-emotional aspect. Data was taken from 60 students who participated in an 8-weeks online learning. The results showed that all aspects have positive attitudes from students’ point of views. The students experienced connectedness aspect, learning aspect, and socio-emotional aspect in online learning regardless the learning situation which was mostly text-based setting.

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Azman Busst, Mikail Muhammad, Kalaiarasi Sonai Muthu Anbananthen, Subarmaniam Kannan, and Rajkumar Kannan. "Extracting Explicit and Implicit Aspects Using Deep Learning." Emerging Science Journal 8, no. 1 (February 1, 2024): 61–76. http://dx.doi.org/10.28991/esj-2024-08-01-05.

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The proliferation of user-generated content on social networks and websites has heightened the significance of sentiment analysis, also known as opinion mining, as a critical tool for comprehending people’s attitudes toward various topics. Aspect-level sentiment analysis, which considers specific aspects or features of texts, provides a more comprehensive view of sentiment analysis. The aspect-level approach encompasses both explicit and implicit aspects, where explicit aspects are readily mentioned in texts while implicit aspects are implied or inferred from contextual clues. Despite the significance of implicit aspects in the overall review, previous research has predominantly focused on explicit aspect extraction. Limited attention has been given to the extraction of implicit aspects, despite their potential impact on capturing the complete sentiment picture of texts. Therefore, this study aims to find an aspect extraction solution capable of identifying and extracting both explicit and implicit aspects from texts. This study compares various machine and deep learning models on the SemEval-2014 and SemEval-2016 restaurant datasets. The experimental analysis demonstrates that the proposed Aspect-BiLSTM model emerged as the best-performing model, achieving high accuracy in classifying both explicit and implicit aspects, with 92.9% accuracy for the 2014 and 90.7% accuracy for the 2016 datasets. Notably, the proposed solution was able to capture multiple aspects of texts, making it more robust and versatile. This study highlights the efficacy of the Aspect-BiLSTM model for aspect extraction, which will give valuable insights into the advancement of aspect-level sentiment analysis. Doi: 10.28991/ESJ-2024-08-01-05 Full Text: PDF

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Li, Wenwen, Shiqun Yin, and Ting Pu. "Lexical attention and aspect-oriented graph convolutional networks for aspect-based sentiment analysis." Journal of Intelligent & Fuzzy Systems 42, no. 3 (February 2, 2022): 1643–54. http://dx.doi.org/10.3233/jifs-211045.

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The purpose of aspect-based sentiment analysis is to predict the sentiment polarity of different aspects in a text. In previous work, while attention has been paid to the use of Graph Convolutional Networks (GCN) to encode syntactic dependencies in order to exploit syntactic information, previous models have tended to confuse opinion words from different aspects due to the complexity of language and the diversity of aspects. On the other hand, the effect of word lexicality on aspects’ sentiment polarity judgments has not been considered in previous studies. In this paper, we propose lexical attention and aspect-oriented GCN to solve the above problems. First, we construct an aspect-oriented dependency-parsed tree by analyzing and pruning the dependency-parsed tree of the sentence, then use the lexical attention mechanism to focus on the features of the lexical properties that play a key role in determining the sentiment polarity, and finally extract the aspect-oriented lexical weighted features by a GCN.Extensive experimental results on three benchmark datasets demonstrate the effectiveness of our approach.

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Tasman, Annisa Qamara, Nana Rahayu, and Dini Budiani. "College Student’s Comprehension on Te Iru Aspects." KIRYOKU 5, no. 2 (November 4, 2021): 236–48. http://dx.doi.org/10.14710/kiryoku.v5i2.236-248.

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This research is a study that discusses the college student’s comprehension on te iru aspect using 7 indicators of comprehension include interpreting, exemplifying, classifying, summarizing, inferring, comparing, and explaining. This researsch is focused on the progressive aspect, habituative aspect, and resultative aspect. The purpose of this study is to describe students' comprehension of te iru aspects. The method used in this study is qualitative descriptive. Data was obtained from interviews with 8 Japanese college students. The results showed that student’s comprehension of all three aspects of te iru is not perfect. The highest order of comprehension on te iru aspects starts from progressive, habituative, and resultative aspect.

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Nurjannah, Nurjannah. "EVALUASI KEPUASAN MAHASISWA TERHADAP PELAYANAN AKADEMIK FAKULTAS TARBIYAH DAN ILMU KEGURUAN IAI MUHAMMADIYAH SINJAI." Jurnal Evaluasi Pendidikan 11, no. 2 (November 2, 2020): 51–57. http://dx.doi.org/10.21009/10.21009/jep.0122.

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This research was descriptive with a quantitative approach. Quantitative research involves measuring the level of certain characteristics. The subjects of the study were all students of the Faculty of Tarbiyah and Teacher Training, Islamic Institute of Muhammadiyah Sinjai. Data collection techniques using questionnaires and documentation. Based on the research results obtained that the evaluation of student satisfaction with academic services in the Faculty of Tarbiyah and Teacher Training based on 6 aspects of assessment namely tangibles aspects of 3.29, assurance aspects of 3.85, reliability aspects of 3.88, empathy aspects of 4.04, the responsiveness aspect is 3.81 and the information system aspect is 3.80. Based on these values, the six aspects are categorized as good. of the 6 aspects of the assessment, the highest assessment is on the assurance aspect while the aspect that needs to be improved is the tangibles aspect. Whereas the assessment of each study program the highest is Tadris Mathematics and the lowest is Arabic Education.

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Magableh, Aws, Zarina Shukur, and Noorazean Mohd. Ali. "Comprehensive Aspectual UML Approach to Support AspectJ." Scientific World Journal 2014 (2014): 1–30. http://dx.doi.org/10.1155/2014/327808.

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Unified Modeling Language is the most popular and widely used Object-Oriented modelling language in the IT industry. This study focuses on investigating the ability to expand UML to some extent to model crosscutting concerns (Aspects) to support AspectJ. Through a comprehensive literature review, we identify and extensively examine all the available Aspect-Oriented UML modelling approaches and find that the existing Aspect-Oriented Design Modelling approaches using UML cannot be considered to provide a framework for a comprehensive Aspectual UML modelling approach and also that there is a lack of adequate Aspect-Oriented tool support. This study also proposes a set of Aspectual UML semantic rules and attempts to generate AspectJ pseudocode from UML diagrams. The proposed Aspectual UML modelling approach is formally evaluated using a focus group to test six hypotheses regarding performance; a “good design” criteria-based evaluation to assess the quality of the design; and an AspectJ-based evaluation as a reference measurement-based evaluation. The results of the focus group evaluation confirm all the hypotheses put forward regarding the proposed approach. The proposed approach provides a comprehensive set of Aspectual UML structural and behavioral diagrams, which are designed and implemented based on a comprehensive and detailed set of AspectJ programming constructs.

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Gebert, Lucyna. "Aspect again." Équivalences 17, no. 1 (1989): 107–24. http://dx.doi.org/10.3406/equiv.1989.1111.

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Paul, L. A. "Aspect Causation." Journal of Philosophy 97, no. 4 (April 2000): 235. http://dx.doi.org/10.2307/2678392.

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Bondiguel, Raymond. "Aspect fiscal." Revue juridique de l'Ouest 11, no. 1 (1998): 15–21. http://dx.doi.org/10.3406/juro.1998.2418.

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Herail, Michel. "Aspect patrimonial." Revue juridique de l'Ouest 11, no. 1 (1998): 83–89. http://dx.doi.org/10.3406/juro.1998.2428.

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Laurent, Marie-Gabrielle. "Aspect processuel." Revue juridique de l'Ouest 11, no. 1 (1998): 81–82. http://dx.doi.org/10.3406/juro.1998.4015.

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Campbell, Barbara. "Quesnay's Aspect." Iowa Review 26, no. 3 (October 1996): 141–42. http://dx.doi.org/10.17077/0021-065x.4508.

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RIJKHOFF, JAN N. M. "Nominal Aspect." Journal of Semantics 8, no. 4 (1991): 291–309. http://dx.doi.org/10.1093/jos/8.4.291.

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Reed, Lisa A. "Pronominalized Aspect." Studia Linguistica 51, no. 2 (August 1997): 121–53. http://dx.doi.org/10.1111/1467-9582.00019.

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Lim, Jung-Hae. "Aspect itératif." Lingvisticæ Investigationes. International Journal of Linguistics and Language Resources 26, no. 2 (July 30, 2004): 283–95. http://dx.doi.org/10.1075/li.26.2.08lim.

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En français, l’aspect itératif est souvent mentionné pour rendre compte d’une des valeurs du présent et de l’imparfait, comme on peut le constater à travers leurs appellations présent d’habitude et imparfait d’habitude. Mais le type de répétition que dénote ces deux temps n’en est qu’une parmi d’autres; ils ne présentent qu’un type particulier de la répétition. Dans cet article, nous présenterons les éléments lexicaux qui permettent d’exprimer cette idée dans les deux langues, français et coréen. Nous prendrons en particulier des cas où on trouve des glissements catégoriels entre ces deux langues et chemin faisant, nous défendrons l’idée que cette notion, aussi bien en français qu’en coréen, relève d’une valeur aspectuelle extrinsèque au prédicat.En français, l’aspect itératif est souvent mentionné pour rendre compte d’une des valeurs du présent et de l’imparfait, comme on peut le constater à travers leurs appellations présent d’habitude et imparfait d’habitude. Mais le type de répétition que dénote ces deux temps n’en est qu’une parmi d’autres; ils ne présentent qu’un type particulier de la répétition.1 Dans cet article, nous présenterons les éléments lexicaux qui permettent d’exprimer cette idée dans les deux langues, français et coréen. Nous prendrons en particulier des cas où on trouve des glissements catégoriels entre ces deux langues et chemin faisant, nous défendrons l’idée que cette notion, aussi bien en français qu’en coréen, relève d’une valeur aspectuelle extrinsèque au prédicat.

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Chen, Musheng, Qingrong Hua, Yaojun Mao, and Junhua Wu. "An Interactive Learning Network That Maintains Sentiment Consistency in End-to-End Aspect-Based Sentiment Analysis." Applied Sciences 13, no. 16 (August 17, 2023): 9327. http://dx.doi.org/10.3390/app13169327.

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Most of the aspect-based sentiment analysis research completes the two subtasks (aspect terms extraction and aspect sentiment classification) separately, and it cannot see the full picture and actual effect of the complete aspect-based sentiment analysis. The purpose of end-to-end aspect-based sentiment analysis is to complete the two subtasks of aspect terms extraction and aspect sentiment classification at the same time, and the current research in this area focuses on the connection between the two subtasks and uses the connection between them to construct the model. However, they rarely pay attention to the connection between different aspects and ignore the sentiment inconsistency within the aspects caused by the end-to-end model. Therefore, we propose an interactive learning network to maintain sentiment consistency, first using the multi-head attention mechanism to achieve the interaction between aspects and subtasks and then using the gate mechanism to design an auxiliary module to maintain sentiment consistency within aspect items. The experimental results on the datasets Laptop14, Restaurant14, and Twitter showed that, compared with the optimal benchmark method, the F1 values of the proposed method increased by 0.4%, 1.21%, and 5.22%, respectively. This indicates that the proposed method can effectively consider the relationships between aspect items and maintain emotional consistency within the aspect items.

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Wen, Xiaohong. "Acquisition of Chinese Aspect." ITL - International Journal of Applied Linguistics 117-118 (January 1, 1997): 1–26. http://dx.doi.org/10.1075/itl.117-118.01wen.

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Abstract This study investigates the acquisition of Chinese aspect markers of -le, -guo, and -zhe by English-speaking learners at the university level. The speech and written data produced by students at two different levels of proficiency were collected, compared and analyzed. The results show that English-speaking learners of Chinese acquire the perfective aspect marker -le and the past experience marker -guo before the durative aspect marker -zhe. The process by which learners acquire the aspect markers appears be meaning-based and can be summarized into: 1) looking for logical temporal sequences; 2) using time adverbials and conjunction for the time references; 3) using lexical aspects and word meanings; and 4) using pragmatic cues with the aspect markers of -le and -guo. Learners, especially at the lower level of proficiency, rely more on the time adverbial expressions and lexical aspects than learners at the more advanced level.

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Hatfield, Gary, and Olivier Dubouclez. "L’attention chez Descartes : aspect mental et aspect physiologique." Les Études philosophiques 171, no. 1 (2017): 7. http://dx.doi.org/10.3917/leph.171.0007.

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Matveyeva, O. P., R. P. Meshechkina, and E. E. Ledovskoy. "ECONOMIC ASPECT OF CUSTOMS AUTHORITIES ACTIVITIES: REGIONAL ASPECT." Herald of the Belgorod University of Cooperation, Economics and Law 4, no. 89 (2021): 23–37. http://dx.doi.org/10.21295/2223-5639-2021-4-23-37.

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Zhu, Jingbo, Chunliang Zhang, and Matthew Y. Ma. "Multi-Aspect Rating Inference with Aspect-Based Segmentation." IEEE Transactions on Affective Computing 3, no. 4 (2012): 469–81. http://dx.doi.org/10.1109/t-affc.2012.18.

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Journal articles on the topic 'Aspect'

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