phrasebased statistical language generation
Tài liệu Báo cáo khoa học: "Reading Level Assessment Using Support Vector Machines and Statistical Language Models" pdf
... relative toeach other.4.1 Statistical Language Models Statistical LMs predict the probability that a partic-ular word sequence will occur. The most commonlyused statistical language model is the ... using statistical language models.In this paper, we also use support vectormachines to combine features from tradi-tional reading level measures, statistical language models, and other language ... and Good-man, 1999). We used the SRI Language ModelingToolkit (Stolcke, 2002) for language model training.Our first set of classifiers consists of one n-gram language model per class c in the set...
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Tài liệu Báo cáo khoa học: "Instance-based Sentence Boundary Determination by Optimization for Natural Language Generation" ppt
... general, the SBC is a parameter that issensitive to a generation system’s capability such asits competence in reference expression generation. If a generation system does not have a robust ap-proach ... significantly bet-ter sentence generation outcomes than awidely adopted approach.1 IntroductionThe problem of sentence boundary determination innatural language generation exists when more thanone ... Computational LinguisticsInstance-based Sentence Boundary Determination by Optimization forNatural Language Generation Shimei Pan and James C. ShawIBM T. J. Watson Research Center19 Skyline DriveHawthorne,...
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Tài liệu Báo cáo khoa học: "Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model " pptx
... zero-frequency problem. Al- though it has been studied in many areas such as speech recognition, statistical language modeling and text compression, no previous work has exam- ined on the smoothing ... times is c/(n + r). 923 Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model Masaaki NAGATA NTT Information and Communication Systems Laboratories 1-1 ... novel OCR error correction method for languages without word delimiters that have a large character set, such as Japanese and Chinese. It consists of a statistical OCR model, an approxi- mate...
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Tài liệu Báo cáo khoa học: "SIMULATING CHILDREN''''S NULL SUBJECTS: A NEARLY LANGUAGE GENERATION MODEL" ppt
... Sign Language: Setting the Null Argument Parameters. Dordrecht: Kluwer Academic Publishers. MacWhinney, B., & Snow, C. (1985). The Child Language Data Exchange System. Journal of Child Language, ... FELICITY, a sentence generation model that emulates early child language output, has been designed in order to determine whether the 'null- subject' phenomenon in early child language can ... REFERENCES Bloom, L. (1970). Language development: Form and function in emerging grammars. Cambridge, Mass.: MIT Press, Bloom, P. (1990). Subjectless sentences in child language. Linguistic Inauiry,...
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Tài liệu Báo cáo khoa học: "Generating statistical language models from interpretation grammars in dialogue systems" potx
... Two decades of statistical language modeling: Where do we go from here? In Proceed-ings of IEEE:88(8).Rosenfeld R. 2000. Incorporating Linguistic Structureinto Statistical Language Models. ... comparison of in-grammar recognition performance.3 Language modellingTo generate the different trigram language modelswe used the SRI language modelling toolkit (Stol-cke, 2002) with Good-Turing ... K., Jonson R., Ranta A, Young Steve.2006. SLM generation in the Grammatical Frame-work. Deliverable 1.3, TALK project.Xu W. and Rudnicky A. 2000. Language modeling fordialog system? In Proceedings...
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Báo cáo khoa học: "Hierarchical Reinforcement Learning and Hidden Markov Models for Task-Oriented Natural Language Generation" ppt
... modelsfor language generation, see e.g., Barzilay and Lee(2002), who use lattices, or Mairesse et al. (2010),who use dynamic Bayesian networks.2 Generation SpacesWe are concerned with the generation ... Text Generation. Proceeding of the 6th International Con-ference on Natural Language Generation (INLG).Nina Dethlefs, Heriberto Cuay´ahuitl, and Jette Viethen.2011. Optimising Natural Language ... Methodson Natural Language Generation, pages 337–361,Berlin/Heidelberg, Germany. Springer.Irene Langkilde and Kevin Knight. 1998. Generation that exploits corpus-based statistical knowledge....
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Báo cáo khoa học: "Application-driven Statistical Paraphrase Generation" pptx
... proposes a method for statistical para-phrase generation. The contributions are as fol-lows. (1) It is the first statistical model spe-cially designed for paraphrase generation, whichis based ... Selection and Paraphrasein a Meaning-Text Generation Model. In C´ecile L.Paris, William R. Swartout, and William C. Mann(Eds.): Natural Language Generation in ArtificialIntelligence and Computational ... experimentsto evaluate the proposed methods.3 Statistical Paraphrase Generation 3.1 Differences between SPG and SMTDespite the similarity between PG and MT, the statistical model used in SMT cannot be...
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Báo cáo khoa học: "Generalized Algorithms for Constructing Statistical Language Models" pdf
... a general software libraryfor language modeling, the GRM Library, that includesmany other text and grammar processing functionalities.1 Motivation Statistical language models are crucial components ... described to constructa language model based on a weighted automaton. When, the language defined by the classes, isa code, the transducer is unambiguous.Denote now by the language model constructedfrom ... ofmany modern natural language processing systems suchas speech recognition, information extraction, machinetranslation, or document classification. In all cases, a language model is used in...
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Báo cáo khoa học: "The order of prenominal adjectives in natural language generation" doc
... describes and comparesa number of statistical and machinelearning techniques for ordering se-quences of adjectives in the context ofa natural language generation system.1 The problemThe ... Langkilde and Kevin Knight. 1998b. The practi-cal value of n-grams in generation. In Proceedingsof the International Natural Language Generation Workshop, Niagara-on-the-Lake, Ontario.Fernando Pereira, ... dataset and constructed a back-off bigram model from the remaining 90% usingthe CMU-Cambridge statistical language model-ing toolkit (Clarkson and Rosenfeld, 1997). Wethen evaluated the model by...
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Báo cáo khoa học: "TWO TYPES OF PLANNING IN LANGUAGE GENERATION" pot
... 1986. Description-Directed Natural Language Generation. Proceedingm el tAe Ninth IJCAI Conference, Los Angeles. 84. McKeown, K.R., 1982. Genera~ng Nahum /Language in l~qJm~ to Q~m~o~ ~ D~.~b~e ... both styles is described. 1 Introduction PAULINE (Planning And Uttering Language In Natural Environments) is a language generation program that is able to realize a given input in a number ... nature of language generation and the way that generators of the future will have to be structured. One insight pertains to the problems encoun- tered when the various tasks of generation...
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Báo cáo khoa học: "Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems" pptx
... natural language generation. In ICAPS.Alexander Koller and Matthew Stone. 2007. Sentence generation as planning. In Proceedings of ACL.Oliver Lemon. 2008. Adaptive Natural Language Generation ... ACL.Alice Oh and Alexander Rudnicky. 2002. Stochasticnatural language generation for spoken dialog sys-tems. Computer, Speech & Language, 16(3/4):387–407.Tim Paek and Eric Horvitz. 2000. ... ConclusionWe presented and evaluated a new model for Nat-ural Language Generation (NLG) in Spoken Dia-logue Systems, based on statistical planning. Aftermotivating and presenting the model,...
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Báo cáo khoa học: "Combining a Statistical Language Model with Logistic Regression to Predict the Lexical and Syntactic Difficulty of Texts for FFL" potx
... Then, we addtwo NLP-oriented features, as described below: a statistical language model and a measure of tensedifficulty.4.1 The language modelThe lexical difficulty of a text is quite an elaboratephenomenon ... LinguisticsCombining a Statistical Language Model with Logistic Regression toPredict the Lexical and Syntactic Difficulty of Texts for FFLThomas L. Franc¸oisAspirant FNRSCENTAL (Center for Natural Language ... the sub-title corpus, because we think it gives a more ac-curate image of everyday language, which is the language FFL teaching is mainly concerned with.The frequencies were changed into probabilities,and...
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Báo cáo khoa học: "Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation" potx
... speeding-up of natural language generation. Its main advantage for NLG is that the complexity of the (linguistically oriented) decision making process during natural language generation can be ... Therefore, the EBL approach is also very interesting for natural language generation (NLG). Informally, NLG is the production of a natural language text from computer-internal representa- tion of ... be generated. 218 Applying Explanation-based Learning to Control and Speeding-up Natural Language Generation Giinter Neumann DFKI GmbH Stuhlsatzenhausweg 3 66123 Saarbriicken, Germany neumann@df...
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Báo cáo khoa học: "A Computational Theory of ProseStyle for Natural Language Generation" ppt
... Natural Language Generation& apos;, Proceedings of UCAI-85, W.Kaufmann Inc., Los Altos CA. Mann W., Bates M., Grosz G., McDonald D., McKeown K., Swartout W., "Report of the Panel on Text Generation& quot; ... Observations from Normal and Pathological Language Use", in PatholoSy in Cognitive Functions, London, Academic Press. Haase, K. (1984) "Another Representation Language Offer", PhJ3. Thesis, ... M1T. McDonald,D. (1984) "[kscription Directed Control: Its implications for natural language generation& quot;, International Journal of Computers and Mathematics, 9(1) Spring 1984. McDonald,D....
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Báo cáo khoa học: "Lexical Choice Criteria in Language Generation" pdf
... Criteria in Language Generation Manfred Stede Department of Computer Science University of Toronto Toronto M5S 1A4, Canada mstede~cs.toronto.edu 1 Introduction In natural language generation ... Lexical Selection and Paraphrase in a Meaning-Text Generation Model. In C. L. Paris, W. R. Swartout, and W. C. Mann, editors, Natu- ral Language Generation in Artificial Intelligence and Computational ... case of conflict, a random choice is made. 6 Summary and Future Work An important task in language generation is to choose the words that most adequately fit into the ut- terance situation...
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- speedingup natural language generation
- combining a statistical language model
- statistical sentence generation introducing a dependency spanning tree algorithm
- generating statistical language models
- the process of language generation
- adjectives in natural language generation
- pipelined natural language generation architecture
- constructing statistical language models
- unsupervised statistical language learning
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