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Báo cáo khoa học: a Tool for Teaching by Viewing Computational Linguistics
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ProLiV - Animated Process-modeler of Complex (Computational) Linguistic Methods and Theories - is a fully modular, flexible, XML-based stand-alone Java application, used for computer-assisted learning in Natural Language Processing (NLP) or Computational Linguistics (CL). Having a flexible and extendible architecture, the system presents the students, by means of text, of visual elements (such as pictures and animations) and of interactive parameter set-up, the following topics: Latent Semantics Analysis (LSA), (computational) lexicons, question modeling, Hidden-Markov-Models (HMM), and Topic-Focus. These topics are addressed to first-year students in computer science and/or linguistics. ...
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Báo cáo khoa học: " a Tool for Teaching by Viewing Computational Linguistics" ProLiV - a Tool for Teaching by Viewing Computational Linguistics Monica Gavrila Cristina Vertan Hamburg University, NATS Hamburg University, NATS Vogt-K¨ lln Str 30, 20251, Germany o Vogt-K¨ lln Str 30, 20251, Germany o gavrila@informatik. vertan@informatik. uni-hamburg.de uni-hamburg.de Abstract • the Latent Semantic Analysis (LSA) module and the computational lexicons module - for ProLiV - Animated Process-modeler of linguists, Complex (Computational) Linguistic Methods and Theories - is a fully modular, • the question modeling module - for computer flexible, XML-based stand-alone Java scientists, application, used for computer-assisted • the Hidden-Markov-Models (HMM) module learning in Natural Language Processing and Topic-Focus module - for both computer (NLP) or Computational Linguistics (CL). scientists and linguists. Having a flexible and extendible architec- ture, the system presents the students, by 2 The Learning Path means of text, of visual elements (such as pictures and animations) and of interactive For each module, the learning path is guided by parameter set-up, the following topics: lessons, a terminology dictionary and interactive Latent Semantics Analysis (LSA), (com- activities. Exercises and small tests can also be putational) lexicons, question modeling, integrated. Hidden-Markov-Models (HMM), and The lessons include text, pictures and ani- Topic-Focus. These topics are addressed mations. Hyperlinks between lessons ensure a to first-year students in computer science concept-oriented navigation through the learning and/or linguistics. content. Additionally key terms within the content are linked with dictionary entries.1 Introduction Three central issues guided the development of the ProLiV software:The role of multimedia in teaching NaturalLanguage Processing (NLP) is demonstrated 1. choosing the most adequate means (text / pic-by constant development of software packages ture / animation) to represent lessons content,such as GATE (http://gate.ac.uk) andNLTK (http://nltk.sourceforge.net/ 2. designing the layout (quantity and size ofindex.html). Detailed information about vi- text, colors) in order to increase the learningsual tools for NLP, in particular about GATE, is success,to be found in (Gaizauskas et al, 2001). 3. in case of the animations, defining its com- ProLiV is a Java application framework, devel- ponents and parameters (speed, animationoped in a three-year project (2005-2008) at the steps, and graphical elements) to maximizeUniversity of Hamburg. It helps first-year stu- their impact on users.dents to understand and learn, in an easier man-ner, either complex linguistic theories used in NLP Regarding the second issue above-mentioned,(e.g. question modeling) or statistical approaches the layout of the modules follows part of thefor computational linguistics (e.g. LSA, HMM). guidelines found in (Orr et al., 1994) and (Thi- The learning process is supported by modules bodeau, 1997).integrating text, visual and interactive elements. In Considering the current multimedia develop-its first released version, ProLiV contains the fol- ment, the trend is using animations to improve thelowing modules: learning process. Animations are assumed to be 13 Proceedings of the ACL-IJCNLP 2009 Software Demonstrations, pages 13–16, ...
Nội dung trích xuất từ tài liệu:
Báo cáo khoa học: " a Tool for Teaching by Viewing Computational Linguistics" ProLiV - a Tool for Teaching by Viewing Computational Linguistics Monica Gavrila Cristina Vertan Hamburg University, NATS Hamburg University, NATS Vogt-K¨ lln Str 30, 20251, Germany o Vogt-K¨ lln Str 30, 20251, Germany o gavrila@informatik. vertan@informatik. uni-hamburg.de uni-hamburg.de Abstract • the Latent Semantic Analysis (LSA) module and the computational lexicons module - for ProLiV - Animated Process-modeler of linguists, Complex (Computational) Linguistic Methods and Theories - is a fully modular, • the question modeling module - for computer flexible, XML-based stand-alone Java scientists, application, used for computer-assisted • the Hidden-Markov-Models (HMM) module learning in Natural Language Processing and Topic-Focus module - for both computer (NLP) or Computational Linguistics (CL). scientists and linguists. Having a flexible and extendible architec- ture, the system presents the students, by 2 The Learning Path means of text, of visual elements (such as pictures and animations) and of interactive For each module, the learning path is guided by parameter set-up, the following topics: lessons, a terminology dictionary and interactive Latent Semantics Analysis (LSA), (com- activities. Exercises and small tests can also be putational) lexicons, question modeling, integrated. Hidden-Markov-Models (HMM), and The lessons include text, pictures and ani- Topic-Focus. These topics are addressed mations. Hyperlinks between lessons ensure a to first-year students in computer science concept-oriented navigation through the learning and/or linguistics. content. Additionally key terms within the content are linked with dictionary entries.1 Introduction Three central issues guided the development of the ProLiV software:The role of multimedia in teaching NaturalLanguage Processing (NLP) is demonstrated 1. choosing the most adequate means (text / pic-by constant development of software packages ture / animation) to represent lessons content,such as GATE (http://gate.ac.uk) andNLTK (http://nltk.sourceforge.net/ 2. designing the layout (quantity and size ofindex.html). Detailed information about vi- text, colors) in order to increase the learningsual tools for NLP, in particular about GATE, is success,to be found in (Gaizauskas et al, 2001). 3. in case of the animations, defining its com- ProLiV is a Java application framework, devel- ponents and parameters (speed, animationoped in a three-year project (2005-2008) at the steps, and graphical elements) to maximizeUniversity of Hamburg. It helps first-year stu- their impact on users.dents to understand and learn, in an easier man-ner, either complex linguistic theories used in NLP Regarding the second issue above-mentioned,(e.g. question modeling) or statistical approaches the layout of the modules follows part of thefor computational linguistics (e.g. LSA, HMM). guidelines found in (Orr et al., 1994) and (Thi- The learning process is supported by modules bodeau, 1997).integrating text, visual and interactive elements. In Considering the current multimedia develop-its first released version, ProLiV contains the fol- ment, the trend is using animations to improve thelowing modules: learning process. Animations are assumed to be 13 Proceedings of the ACL-IJCNLP 2009 Software Demonstrations, pages 13–16, ...
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