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1
Strong Learning of Probabilistic Tree Adjoining Grammars
In: Proceedings of the Society for Computation in Linguistics (2021)
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2
Minimalist Grammars in the Light of Logic
In: https://hal.inria.fr/inria-00563807 ; [Research Report] 2011, pp.39 (2011)
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3
The Copying Power of Well-Nested Multiple Context-Free Grammars
In: Language and Automata Theory and Applications ; https://hal.inria.fr/inria-00525077 ; Language and Automata Theory and Applications, 2010, Trier, Germany. pp.344-355, ⟨10.1007/978-3-642-13089-2_29⟩ ; http://www.springerlink.com/content/b8w7r53761614lk7/ (2010)
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4
On the relation between Multicomponent Tree Adjoining Grammars with Tree Tuples (TT-MCTAG) and Range Concatenation Grammars (RCG)
In: 2nd International Conference on Language and Automata Theory and Applications (LATA 2008) ; https://hal.inria.fr/inria-00232587 ; 2nd International Conference on Language and Automata Theory and Applications (LATA 2008), Research Group on Mathematical Linguistics at Universitat Rovira i Virgili University, Mar 2008, Tarragona, Spain. pp.263-274 (2008)
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5
Type logic served by co-Merge, Merge and Move: an account for sluicing and questions of “common European” and Japanese types
In: Syntactic structures / Синтаксические Структуры (Sintaksicheskie struktury) ; https://hal.inria.fr/inria-00138201 ; Syntactic structures / Синтаксические Структуры (Sintaksicheskie struktury), A.B. Letuchiy, V.S. Volk, N.A. Korotkova, Ya.G. Testelets, Apr 2007, Moscow, Russia (2007)
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6
A Case Study of the Convergence of Mildly Context-Sensitive Formalisms for Natural Language Syntax: from Minimalist Grammars to Multiple Context-Free Grammars
In: https://hal.inria.fr/inria-00117306 ; [Research Report] RR-6042, INRIA. 2006, pp.67 (2006)
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7
Encoding second order string ACG with Deterministic Tree Walking Transducers.
In: The 11th conference on Formal Grammar ; https://hal.inria.fr/inria-00333886 ; The 11th conference on Formal Grammar, Paola Monachesi; Gerald Penn; Giorgio Satta; Shuly Wintner, 2006, Malaga, Spain. pp.143-156 (2006)
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8
Parsing TAG with Abstract Categorial Grammar.
In: TAG+8: Workshop On Tree Adjoining Grammar And Related Formalisms ; https://hal.inria.fr/inria-00334009 ; TAG+8: Workshop On Tree Adjoining Grammar And Related Formalisms, 2006, Sidney, Australia (2006)
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9
Learning Recursive Automata from Positive Examples
In: ISSN: 0992-499X ; EISSN: 1958-5748 ; Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle ; https://hal.inria.fr/inria-00470101 ; Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2006, New Methods in Machine Learning. Theory and Applications, 20 (6), pp.775-804. ⟨10.3166/ria.20.775-804⟩ (2006)
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10
Consolidating the Results of the CIRCSIM-Tutor Project and Further Consolidation of the Results of the CIRCSIM-Tutor Project
In: DTIC AND NTIS (2003)
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11
Language Independent NER using a Unified Model of Internal and Contextual Evidence
In: DTIC (2002)
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12
Chinese Numbers, MIX, Scrambling, and Range Concatenation Grammars
In: https://hal.inria.fr/inria-00073064 ; [Research Report] RR-3614, INRIA. 1999 (1999)
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13
A Methodological Study: A Semiotic Approach to Analyzing the Content of Information
In: DTIC AND NTIS (1996)
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14
Language and Logic: Research in the Formalization of Discourse.
In: DTIC AND NTIS (1996)
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15
Centering: A Framework for Modelling the Local Coherence of Discourse
In: DTIC AND NTIS (1995)
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16
Perceptions of Coherence and Usability in Environmental Impact Documents As Functions of Visual and Linguistic Cues.
In: DTIC AND NTIS (1995)
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17
The Unsupervised Acquisition of a Lexicon from Continuous Speech.
In: DTIC AND NTIS (1995)
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18
Text-To-Speech Phrasing Enhancement System Using Neural Networks.
In: DTIC AND NTIS (1995)
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19
BBN: Description of the PLUM System as Used for MUC-5
In: DTIC (1993)
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20
Labelled Formal Languages and Their Uses.
In: DTIC AND NTIS (1991)
Abstract: This research augments formal languages with the machinery necessary to describe labelled combinatorial objects such as trees, permutations, and networks. The most attractive feature of this method of describing combinatorial objects is the direct translation to generating functions, treating the grammar of an ordinary formal language as a set of equations and then solving these equations yields an enumerating generating function. This is still true of labelled formal languages although the equations are usually differential rather than rational or algebraic. There are two promising applications for labelled formal languages. In the analysis of algorithms one often identifies combinatorial quantities that can be described with labelled formal languages and, using the translation mentioned about, these quantities can be easily computed. The other application uses labelled formal languages to control a general-purpose system for the ranking, sequencing, and selection of combinatorial objects. Both of these applications demonstrate the value of labelled formal languages as a descriptive and analytic tool.
Keyword: *ALGORITHMS; *PROGRAMMING LANGUAGES; COMBINATORIAL ANALYSIS; COMPUTER LOGIC; COMPUTER PROGRAMMING; Computer Programming and Software; CONTEXT SENSITIVE GRAMMARS; FIELDS(COMPUTER PROGRAMS); PERMUTATIONS; THESES
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA328418
http://www.dtic.mil/docs/citations/ADA328418
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