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This study compared the perceptions of Chinese sentences conveying the attitudinal contrast of praising and blaming by five groups of subjects (Chinese natives, Japanese L2 learners of Mandarin, French L2 learners of Mandarin, Japanese and French subjects without any Mandarin ability). Context-elicited target sentences conveying praising, blaming or neutral attitude were used as stimuli in the listening...
This paper presents a study on exploring word-level break-type formation rules for Mandarin read speech. A 4-layer hierarchical structure with seven break types is adopted to represent the prosody of utterance. The work is based on the break-type tags labeled on a large read-speech database by the prosody labeling and modeling algorithm (PLM) proposed previously. Occurrence frequencies of seven break...
Much of the previous work in Big Data has focussed on numerical sources of information. However, with the ‘narrative turn’ in many disciplines gathering pace and commercial organisations beginning to realise the value of their textual assets, natural language data is fast catching up as an exploitable source of information for decision making. With vast quantities of unstructured textual data on the...
A fuzzy formal context of fuzzy linguistic valuesis constructed by a voting mechanism with scepticism levels. Formally, the formal context could be understood as votingagents believe that fuzzy linguistic values are appropriate fordescribing objects. Based on operation of formal concept analysis, the belief degrees of fuzzy linguistic values is calculated. Furthermore, compound fuzzy linguistic values...
It is usually considered that focus bears communicative function in discourse, each language has its own ways to realize focus. This paper compares the focus realization of Jinan dialect and Taiyuan dialect. It aims to investigate the similarity and difference of focus realization through examining the variations of mean F0, duration and intensity in both focused and unfocused conditions between these...
Consensus reaching process can be seen as a collaborative process in which a panel of decision makers or experts reach an agreement on developing and supporting an alternative representing their best interests. In this process some decision maker(s) may be asked to modify his/her preference(s) or opinion(s) until the final agreement within the whole can be achieved. In this paper, we propose a consensus...
In Seleskovitch's interpretive theory of translation, the construct of sense is the core of the triangular process of translation. Taking this as a starting point, the present paper argues that the construct of sense is only part of the truth of the reality in translation. The translator in a translation not only constructs sense at the stimulus of the source text, but also makes meaning for the readers...
Situation identification is a complex task that is usually employed in order to sustain the work of Decision Support Systems in several and heterogeneous application scenarios like, for instance, Emergency Management, Safety and Security. Typically, situation awareness systems gather and process raw sensor data by means of different techniques. In this context, it is fundamental to exploit qualitative...
One of the biggest challenges in the design of Fuzzy Logic Systems (FLSs) is the construction of their rule base. While fuzzy sets capture aspects of a system's variables and associates them with linguistic labels, it is the rules which capture the logical relationships of these labels and underlying fuzzy sets. Further, while fuzzy systems are credited for dealing well with uncertainty in system...
Multi Criteria Decision Making methods have been developed to solve complex real-world decision problems. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is currently one of the most popular methods and has been shown to provide helpful outputs in various application areas. In recent years, a variety of extensions, including fuzzy extensions of TOPSIS have been proposed...
As bilateral relation between Indonesia and Japan strengthens, the need of consistent term usage for both languages becomes important. In this paper, a new method for Indonesian-Japanese term extraction is presented. In general, this is done in 3 steps: (1) n-gram extraction for each language, (2) n-gram cross-pairing between both languages, and (3) classification. This method is aimed to be able...
Statistic aspects of Marko Cheremshyna's idiolect is one of the main research focus of applied lingustic department. It includes letter frequency, word length, amount and percentage of words of different parts of speech, the most frequent content words and bigrams, the frequency of characters combination in text. In this article we are to outline the part of speech aspect of our research. Some statistic...
All Enterprise Architecture Modeling (EAM) approaches revolve around the use of multiple, inter-related views to describe the properties of a system and its surrounding environment -- that is, they are multi-view specification (MVS) approaches. However, there is still little consensus on how such modeling environments should be realized and on the pros and cons of the different fundamental design...
Accurate and timely assessment of collective emotions in the workplace is a critical managerial task. However, perceptual, normative, and methodological challenges make it very difficult even for the most experienced organizational leaders. In this paper we present a MoodTracker — a technological solution that can help to overcome these challenges, and facilitate a continuous monitoring of the collective...
This paper introduces a sentiment analysis method suitable to the human-agent and face-to-face interactions. We present the positioning of our system and its evaluation protocol according to the existing sentiment analysis literature and detail how the proposed system integrates the human-agent interaction issues. Finally, we provide an in-depth analysis of the results obtained by the evaluation,...
Thanks to a remarkably great ability to show amusement and engagement, laughter is one of the most important social markers in human interactions. Laughing together can actually help to set up a positive atmosphere and favors the creation of new relationships. This paper presents a data collection of social interaction dialogs involving humor between a human participant and a robot. In this work,...
Automatic extraction of definitional contexts has been a problem that deserved to be addressed to in different studies by applications demands in the Natural Language Processing. The first approach to the automatic extraction of these resources has been through specific linguistic patterns, but this approach requires previous extensive linguistic knowledge and a thorough previous work. A model machine...
Service matching concerns finding suitable services according to the service requester's requirements, which is a complex task due to the increasing number and diversity of cloud services available. Service matching is discussed in web services composition and user oriented service marketplaces contexts. The suggested approaches have different problem definitions and have to be examined closer in...
Base on the brain electrical technology, this article studies vocabulary cognitive mechanism of Mongolian trilingual people. It Finds that priming effect exists between English and Chinese, English and Mongolian, illustrates that it has common semantics and the different layers of concept. This conclusion shows that for Mongolian college students, reasonable use of the information of the mother tongue,...
Nominalizations in natural language requirements specifications can lead to imprecision. For example, in the phrase "transportation of pallets" it is unclear who transports the pallets from where to where and how. Guidelines for requirements specifications therefore recommend avoiding nominalizations. However, not all nominalizations are problematic. We present an industrial-strength text...
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