000 04255nam a22004815i 4500
001 u376488
003 SIRSI
005 20160812084415.0
007 cr nn 008mamaa
008 110817s2011 gw | s |||| 0|eng d
020 _a9783642224324
_9978-3-642-22432-4
040 _cMX-MeUAM
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
082 0 4 _a006.3
_223
100 1 _aHausser, Roland.
_eauthor.
245 1 0 _aComputational Linguistics and Talking Robots
_h[recurso electrónico] :
_bProcessing Content in Database Semantics /
_cby Roland Hausser.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2011.
300 _aXII, 286 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChap. 1 -- Introduction: How to Build a Talking Robot -- Part I -- Five Mysteries of Natural Language Communication -- Chap. 2.-  Mystery Number One: Using External Surfaces.-  Chap. 3.- Mystery Number Two: Cycle of Natural Language Communication.- Chap. 4 -- Mystery Number Three: Memory Structure.- Chap. 5 -- Mystery Number Four: Autonomous Control.- Chap. 6 -- Mystery Number Five: Learning.- Part II.- The Coding of Content.- Chap. 7 -- Semantic Relations of Structure -- Chap. 8 -- Simultaneous Amalgamation of Content.- Chap. 9 -- Graph-Theoretical Considerations.- Chap. 10 -- Computing Perspective in Dialogue -- Chap. 11 -- Computing Perspective in Text.- Chap. 12.- Conclusion -- Bibliography.
520 _aThe practical task of building a talking robot requires a theory of how natural language communication works. Conversely, the best way to computationally verify a theory of natural language communication is to demonstrate its functioning concretely in the form of a talking robot, the epitome of human–machine communication. To build an actual robot requires hardware that provides appropriate recognition and action interfaces, and because such hardware is hard to develop the approach in this book is theoretical: the author presents an artificial cognitive agent with language as a software system called database semantics (DBS). Because a theoretical approach does not have to deal with the technical difficulties of hardware engineering there is no reason to simplify the system – instead the software components of DBS aim at completeness of function and of data coverage in word form recognition, syntactic–semantic interpretation and inferencing, leaving the procedural implementation of elementary concepts for later. In this book the author first examines the universals of natural language and explains the Database Semantics approach. Then in Part I he examines the following natural language communication issues: using external surfaces; the cycle of natural language communication; memory structure; autonomous control; and learning. In Part II he analyzes the coding of content according to the aspects: semantic relations of structure; simultaneous amalgamation of content; graph-theoretical considerations; computing perspective in dialogue; and computing perspective in text. The book ends with a concluding chapter, a bibliography and an index. The book will be of value to researchers, graduate students and engineers in the areas of artificial intelligence and robotics, in particular those who deal with natural language processing.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aTranslators (Computer programs).
650 0 _aComputational linguistics.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aComputational Linguistics.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aLanguage Translation and Linguistics.
650 2 4 _aRobotics and Automation.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642224317
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-22432-4
596 _a19
942 _cLIBRO_ELEC
999 _c204368
_d204368