20,706 research outputs found

    Language Models for Handwritten Short Message Services

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    International audienceHandwriting is an alternative method for entering texts composing Short Message Services. However, a whole new language features the texts which are produced. They include for instance abbreviations and other consonantal writing which sprung up for time saving and fashion. We have collected and processed a significant number of such handwriting SMS, and used various strategies to tackle this challenging area of handwriting recognition. We proposed to study more specifically three different phenomena: consonant skeleton, rebus, and phonetic writing. For each of them, we compare the rough results produced by a standard recognition system with those obtained when using a specific language model

    Building a Flexible Software Factory Using Partial Domain Specific Models

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    This paper describes some experiences in building a software factory by defining multiple small domain specific languages (DSLs) and having multiple small models per DSL. This is in high contrast with traditional approaches using monolithic models, e.g. written in UML. In our approach, models behave like source code to a large extend, leading to an easy way to manage the model(s) of large systems

    Writing for a Better World: Three Snapshots of Adolescents at Work

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    Knowing Their Audience: The Dynamics of Multiple Strategic Collective Action Frames by W.O.A.R. (Women Organized Against Rape)

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    Using the sociological theory of collective action frames and scholarship on the anti-sexual violence movement, the analysis discusses multiple frames (rights frames, counter frames, and injustice frames) used by Women Organized Against Rape (W.O.A.R). It shows that in correspondence with public officials, W.O.A.R used rights frames to advocate for reform. Meanwhile, in responses to media outlets and in their own publication, WOARpath, W.O.A.R used counter frames to deconstruct rape culture. The final two sections of the paper place this analysis in conversation with prominent critiques of the anti-sexual violence movement: its lack of intersectionality and emphasis on victimization and vulnerability. W.O.A.R’s activist methods and rhetoric reveal a disregard for how race complicates the issue of sexual violence. However, W.O.A.R’s use of victimization and vulnerability rhetoric is limited to correspondence with public officials. In WOARpath , W.O.A.R subverted victim frames through war motifs and calls for self-defense

    Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition

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    This paper assumes the hypothesis that human learning is perception based, and consequently, the learning process and perceptions should not be represented and investigated independently or modeled in different simulation spaces. In order to keep the analogy between the artificial and human learning, the former is assumed here as being based on the artificial perception. Hence, instead of choosing to apply or develop a Computational Theory of (human) Perceptions, we choose to mirror the human perceptions in a numeric (computational) space as artificial perceptions and to analyze the interdependence between artificial learning and artificial perception in the same numeric space, using one of the simplest tools of Artificial Intelligence and Soft Computing, namely the perceptrons. As practical applications, we choose to work around two examples: Optical Character Recognition and Iris Recognition. In both cases a simple Turing test shows that artificial perceptions of the difference between two characters and between two irides are fuzzy, whereas the corresponding human perceptions are, in fact, crisp.Comment: 5th Int. Conf. on Soft Computing and Applications (Szeged, HU), 22-24 Aug 201
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