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1

1948-, Schmitz Ulrich, Schütz Rüdiger, Kunz Andreas, and International L.A.U.D.-Symposium (13th : 1988 : Duisburg, Germany), eds. Linguistic approaches to artificial intelligence. Verlag P. Lang, 1990.

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2

Stilman, Boris. Linguistic Geometry: From Search to Construction. Springer US, 2000.

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3

D'Ambrosio, Bruce. Qualitative process theory using linguistic variables. Springer-Verlag, 1989.

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4

D'Ambrosio, Bruce. Qualitative Process Theory Using Linguistic Variables. Springer New York, 1989.

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5

Henry, Winston Patrick, and Shellard Sarah Alexandra, eds. Artificial intelligence at MIT: Expanding frontiers. MIT Press, 1990.

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6

Trost, Harald. Feature formalisms and linguistic ambiguity. Ellis Horwood, 1993.

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7

Skousen, Royal. Analogical Modeling of Language. Springer Netherlands, 1990.

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8

Dinsmore, John. Partitioned Representations: A Study in Mental Representation, Language Understanding and Linguistic Structure. Springer Netherlands, 1991.

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9

Skousen, Royal. Analogy and Structure. Springer Netherlands, 1992.

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10

Cao, Tru. Conceptual graphs and fuzzy logic: A fusion for representing and reasoning with linguistic information. Springer-Verlag Berlin Heidelberg, 2010.

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11

J, Jorna René, Heusden Barend van, and Posner Roland, eds. Signs, search and communication: Semiotic aspects of artificial intelligence. W. de Gruyter, 1993.

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12

Niyogi, Partha. The Informational Complexity of Learning: Perspectives on Neural Networks and Generative Grammar. Springer US, 1998.

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13

Polyakov, Oleg. R-linguistics. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2131564.

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The monograph contains the axiomatic theoretical foundations of the work of intelligence, including artificial intelligence. Access to understanding the workings of intelligence is possible either through behavior analysis or through language. Here an attempt is made to mathematically combine both approaches and on this basis explain some phenomena of thinking and language, starting from a special kind of world model underlying the behavior of cognizing consciousness (artificial or natural). It also allows us to show how tasks traditionally considered to be tasks of artificial intelligence ari
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14

Jeffrey, Conklin E., and Hill Jane Anne Collins, eds. From schema theory to language. Oxford University Press, 1987.

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15

Przepiórkowski, Adam. Computational Linguistics: Applications. Springer Berlin Heidelberg, 2013.

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16

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12116-6.

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17

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44686-9.

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18

Gelbukh, Alexander F., ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19400-9.

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19

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19437-5.

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20

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00382-0.

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21

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77113-7.

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22

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77116-8.

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23

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36456-0.

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24

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45715-1.

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25

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18111-0.

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26

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18117-2.

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27

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78135-6.

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28

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28601-8.

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29

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28604-9.

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30

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b105772.

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31

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b95558.

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32

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37247-6.

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33

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37256-8.

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34

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-70939-8.

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35

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11671299.

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36

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54903-8.

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37

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54906-9.

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38

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75477-2.

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39

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75487-1.

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40

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23793-5.

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41

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24340-0.

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42

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23804-8.

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43

Gelbukh, Alexander, ed. Computational Linguistics and Intelligent Text Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24337-0.

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44

Paris, Cécile L. Natural Language Generation in Artificial Intelligence and Computational Linguistics. Springer US, 1991.

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45

Paris, Cécile L., William R. Swartout, and William C. Mann, eds. Natural Language Generation in Artificial Intelligence and Computational Linguistics. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4757-5945-7.

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46

L, Paris Cecile, Swartout William R, and Mann William C, eds. Natural language generation in artificial intelligence and computational linguistics. Kluwer Academic, 1991.

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47

Heller, Jane. Female intelligence. St. Martin's Press, 2001.

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48

Heller, Jane. Female intelligence. St. Martin's Press, 2001.

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49

Pitrat, J. An artificial intelligence approach to understanding natural language. North Oxford Academic, 1988.

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50

Pitrat, J. An artificial intelligence approach to understanding natural language. GP Pub., 1988.

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