@article {18899,
	title = {Computational Cultural Dynamics},
	journal = {Intelligent Systems, IEEE},
	volume = {23},
	year = {2008},
	month = {2008/08//july},
	pages = {18 - 19},
	abstract = {Computational cultural dynamics blends the behavioral and social sciences - fields such as political science, psychology, journalism, anthropology, and sociology - with technological fields such as computer science, computational linguistics, game theory, statistical modeling, and operations research.},
	keywords = {anthropology, behavioral science, behavioural sciences computing, computational cultural dynamics, computational linguistics, Computer science, game theory, journalism, operations research, political science, Psychology, social sciences, social sciences computing, sociology, statistical modeling},
	isbn = {1541-1672},
	doi = {10.1109/MIS.2008.61},
	author = {Nau, Dana S. and Wilkenfeld,J.}
}
@conference {12026,
	title = {A Sensory-Motor Language for Human Activity Understanding},
	booktitle = {2006 6th IEEE-RAS International Conference on Humanoid Robots},
	year = {2006},
	month = {2006/12/04/6},
	pages = {69 - 75},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {We have empirically discovered that the space of human actions has a linguistic framework. This is a sensory-motor space consisting of the evolution of the joint angles of the human body in movement. The space of human activity has its own phonemes, morphemes, and sentences. We present a human activity language (HAL) for symbolic non-arbitrary representation of visual and motor information. In phonology, we define atomic segments (kinetemes) that are used to compose human activity. We introduce the concept of a kinetological system and propose five basic properties for such a system: compactness, view-invariance, reproducibility, selectivity, and reconstructivity. In morphology, we extend sequential language learning to incorporate associative learning with our parallel learning approach. Parallel learning is effective in identifying the kinetemes and active joints in a particular action. In syntax, we suggest four lexical categories for our human activity language (noun, verb, adjective, and adverb). These categories are combined into sentences through syntax for human movement},
	keywords = {Actuators, associative learning, atomic segments, computational linguistics, Computer science, Computer vision, Educational institutions, grammars, human activity language, human activity understanding, human movement syntax, Humanoid robots, HUMANS, joint angles, kinetemes, kinetological system, Laboratories, learning (artificial intelligence), List key index terms here, Morphology, motor information, No mare than 5, parallel learning, Reproducibility of results, Robot kinematics, Robot programming, robot vision, sensory-motor language, sequential language learning, symbolic nonarbitrary representation, visual information},
	isbn = {1-4244-0200-X},
	doi = {10.1109/ICHR.2006.321365},
	author = {Guerra-Filho,G. and Aloimonos, J.}
}
@article {13867,
	title = {Symbolic MT With Statistical NLP Components},
	year = {2004},
	month = {2004/06//},
	institution = {Instititue for Advanced Computer Studies, Univ of Maryland, College Park},
	abstract = {This reports provides an overview of the findings and software that have evolved from the "Symbolic MT with Statistical NLP Components" project over the last year. We present the major goals that have been achieved and discuss some of the open issues that we intend to address in the near future. This report also contains some details on the usage of some software that has been implemented during the project.},
	keywords = {*MACHINE TRANSLATION, computational linguistics, COMPUTER PROGRAMS, CYBERNETICS, DIVERGENCE UNRAVELING, GHMT(GENERATION-HEAVY MACHINE TRANSLATION), INFORMATION SCIENCE, linguistics, natural language, RESOURCE PROJECTION},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA458796},
	author = {Dorr, Bonnie J and Habash,Nizar Y and Monz,Christof}
}
@article {17469,
	title = {User interface design with speech technologies : A cognitive limitations review},
	journal = {Sprache und Datenverarbeitung},
	volume = {28},
	year = {2004},
	month = {2004///},
	pages = {101 - 109},
	keywords = {Communication homme-machine, computational linguistics, Human-computer communication, interface, Linguistique informatique, Speech processing, Traitement automatique de la parole},
	isbn = {0343-5202},
	url = {http://cat.inist.fr/?aModele=afficheN\&cpsidt=16961708},
	author = {Shneiderman, Ben}
}
@book {16719,
	title = {The Balancing Act: Combining Symbolic and Statistical Approaches to Language},
	year = {1996},
	month = {1996/12/06/},
	publisher = {MIT Press},
	organization = {MIT Press},
	abstract = {Symbolic and statistical approaches to language have historically been at odds{\textemdash}the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two approaches have something to offer in achieving common goals.The eight contributions in this book explore the inevitable "balancing act" that must take place when symbolic and statistical approaches are brought together{\textemdash}including basic choices about what knowledge will be represented symbolically and how it will be obtained, what assumptions underlie the statistical model, what principles motivate the symbolic model, and what the researcher gains by combining approaches.The topics covered include an examination of the relationship between traditional linguistics and statistical methods, qualitative and quantitative methods of speech translation, study and implementation of combined techniques for automatic extraction of terminology, comparative analysis of the contributions of linguistic cues to a statistical word grouping system, automatic construction of a symbolic parser via statistical techniques, combining linguistic with statistical methods in automatic speech understanding, exploring the nature of transformation-based learning, and a hybrid symbolic/statistical approach to recovering from parser failures.},
	keywords = {computational linguistics, Computational linguistics - Congresses, Computational linguistics/ Congresses, Computers / Intelligence (AI) \& Semantics, Foreign Language Study / General, Language Arts \& Disciplines / Linguistics / General, linguistics, Linguistics - Statistical methods - Congresses, Linguistics/ Statistical methods/ Congresses, Social Science / General},
	isbn = {9780262611220},
	author = {Klavans,Judith L. and Resnik, Philip}
}
@conference {17660,
	title = {Splitters and near-optimal derandomization},
	booktitle = {, 36th Annual Symposium on Foundations of Computer Science, 1995. Proceedings},
	year = {1995},
	month = {1995/10/23/25},
	pages = {182 - 191},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {We present a fairly general method for finding deterministic constructions obeying what we call k-restrictions; this yields structures of size not much larger than the probabilistic bound. The structures constructed by our method include (n,k)-universal sets (a collection of binary vectors of length n such that for any subset of size k of the indices, all 2k configurations appear) and families of perfect hash functions. The near-optimal constructions of these objects imply the very efficient derandomization of algorithms in learning, of fixed-subgraph finding algorithms, and of near optimal ΣIIΣ threshold formulae. In addition, they derandomize the reduction showing the hardness of approximation of set cover. They also yield deterministic constructions for a local-coloring protocol, and for exhaustive testing of circuits},
	keywords = {Boosting, Circuit testing, computational complexity, computational linguistics, Computer science, Contracts, derandomization, deterministic constructions, Educational institutions, Engineering profession, exhaustive testing, fairly general method, fixed-subgraph finding algorithms, hardness of approximation, Information systems, k-restrictions, learning, local-coloring protocol, MATHEMATICS, near-optimal constructions, near-optimal derandomization, Parallel algorithms, probabilistic bound, probability, Protocols, randomised algorithms, Set cover, splitters},
	isbn = {0-8186-7183-1},
	doi = {10.1109/SFCS.1995.492475},
	author = {Naor,M. and Schulman,L. J and Srinivasan, Aravind}
}
