@article {12036,
	title = {A Language for Human Action},
	journal = {Computer},
	volume = {40},
	year = {2007},
	month = {2007/05//},
	pages = {42 - 51},
	abstract = {Human-centered computing (HCC) involves conforming computer technology to humans while naturally achieving human-machine interaction. In a human-centered system, the interaction focuses on human requirements, capabilities, and limitations. These anthropocentric systems also focus on the consideration of human sensory-motor skills in a wide range of activities. This ensures that the interface between artificial agents and human users accounts for perception and action in a novel interaction paradigm. In turn, this leads to behavior understanding through cognitive models that allow content description and, ultimately, the integration of real and virtual worlds. Our work focuses on building a language that maps to the lower-level sensory and motor languages and to the higher-level natural language. An empirically demonstrated human activity language provides sensory-motor-grounded representations for understanding human actions. A linguistic framework allows the analysis and synthesis of these actions.},
	keywords = {anthropocentric system, artificial agent, Artificial intelligence, cognitive model, Concrete, Databases, human action, human activity language, Human computer interaction, human factors, human sensory-motor skill, human-centered computing, human-machine interaction, HUMANS, Intelligent sensors, linguistic framework, linguistics, Mirrors, Morphology, natural language, natural languages, Neurons, Power system modeling, user interface, User interfaces},
	isbn = {0018-9162},
	doi = {10.1109/MC.2007.154},
	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 {13761,
	title = {Efficient Language Independent Generation from Lexical Conceptual Structure},
	year = {2001},
	month = {2001/09//},
	institution = {Instititue for Advanced Computer Studies, Univ of Maryland, College Park},
	abstract = {This paper describes a system for generating natural-language sentences from an interlingual representation, Lexical Conceptual Structure (LCS). The system has been developed as part of a Chinese-English Machine Translation system; however, it is designed to be used for many other MT language pairs and Natural Language applications. The contributions of this work include: (1) Development of a language-independent generation system that maximizes efficiency through the use of a hybrid rule-based/statistical module; (2) Enhancements to an interlingual representation and associated algorithms for interpretation of multiply ambiguous input sentences; (3) Development of an efficient reusable language-independent linearization module with a grammar description language that can be used with other systems; (4) Improvements to an earlier algorithm for hierarchically mapping thematic roles to surface positions; (5) Development of a diagnostic tool for lexicon coverage and correctness and use of the tool for verification of English, Spanish, and Chinese lexicons. An evaluation of translation quality shows comparable performance with commercial translation system. The generation system can also be straightforwardly extended to their languages and this is demonstrated and evaluated for Spanish.},
	keywords = {*LEXICAL CONCEPTUAL STRUCTURE, *LEXICOGRAPHY, *MACHINE TRANSLATION, *VOCABULARY, *WORDS(LANGUAGE), algorithms, CHINA, COMMERCE, DIAGNOSTIC EQUIPMENT, efficiency, English language, grammars, INPUT, INTERLINGUAL, LANGUAGE, LANGUAGE-INDEPENDENT NLP., linguistics, MAPPING, natural language, QUALITY, SPANISH LANGUAGE, verification},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA458756},
	author = {Habash,Nizar and Dorr, Bonnie J and Traum,David}
}
@article {13842,
	title = {Principle-Based Parsing for Machine Translation},
	year = {1987},
	month = {1987/12//},
	institution = {MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB},
	abstract = {Many syntactic parsing strategies for machine translation systems are based entirely on context-free grammars. These parsers require an overwhelming number of rules; thus, translation systems using rule-based parsers either have limited linguistic coverage, or they have poor performance due to formidable grammar size. This report shows how a principle-based parser with a co-routine design improves parsing for translation. The parser consists of a skeletal structure-building mechanism that operates in conjunction with a linguistically based constraint module, passing control back and forth until a set of underspecified skeletal phrase-structures is converted into a fully instantiated parse tree. The modularity of the parsing design accommodates linguistic generalization, reduces the grammar size, allows extension to other languages, and is compatible with studies of human language processing. Keywords: Natural language processing, Interlingual translation, Parsing, Subroutines, Principles vs. Rules, Co-routine design, Linguistic constraints.},
	keywords = {*MACHINE TRANSLATION, *PARSERS, *SYNTAX, CONTROL, COROUTINE DESIGN, CYBERNETICS, grammars, HUMANS, LANGUAGE, linguistics, MODULAR CONSTRUCTION, natural language, PRINCIPLES BASED PARSERS, PROCESSING, STRATEGY, SUBROUTINES},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA199183},
	author = {Dorr, Bonnie J}
}
