... weights.“about”ahbawt:15, bawt:9, ihbawt:4, ahbawd:4, ih-bawd:4, ahbaat:2, baw:1, ahbaht:1, erbawd:1,bawd:1, ahbaad:1, ahpaat:1, bah:1, baht:1,ah:1, ahbahd:1, ehbaat:1, ahbaed:1, ihbaht:1,baot:1“wanna”waanah:94, ... ihbaht:1,baot:1“wanna”waanah:94, waanih:37, wahnah:16, waan:13,wahneh:8, wahnih:5, wahney:3, waanlih:3,wehnih:2, waaneh:2, waonih:2, waaah:1,wuhnih:1, wahn:1, waantah:1, waanaa:1,wowiy:1, waaih:1, wah:1, waaniy:1Table ... Bayesian model that clusters together phonetic variants of thesame lexical item while learning both a lan-guage model over lexical items and a log-linear model of pronunciation variability based...
... persistence and spread of Russian gaps via a multi-agent model with Bayesian learning. We ran three simulations: no grammar learning, learning with arbitrary analogical pressure, and morphophonologically ... development of Russian gaps. 2 The historical and distributional facts of Russian verbal gaps 2.1 Traditional descriptions Grammars and dictionaries of Russian frequently cite paradigmatic gaps ... language, but have no apparent synchronic morphological cause. We model the persistence and spread of the Russian verbal gaps with a multi-agent model with Bayesian learning. Our model has...
... uses a large-vocabularytagger (Ratnaparkhi, 1996) as a preprocessingstage may compensate for its smaller vocabu-lary. Also, the main reason for using a smallervocabulary is the computational ... Empirical Methods in NaturalLanguage Processing, pages 133–142, Univ. of Pennsylvania, PA.Adwait Ratnaparkhi. 1999. Learning to parsenatural language with maximum entropymodels. Machine Learning, ... onEmpirical Methods in Natural Language Pro-cessing, pages 9–16, Univ. of Pennsylvania,PA.Peter Lane and James Henderson. 2001. In-cremental syntactic parsing of natural lan-guage corpora with...
... Using a standard backoff trigram model as a default distribution, we built a class of exponential language models which use non- stationary features based on trigger words to allow the model ... fashion. *Research supported in part by NSF grant IRI- 9314969, DARPA AASERT award DAAH04-95-1-0475, and the ATR Interpreting Telecommunications Research Laboratories. Stationary models are ... this model as a mizture of a two-stage exponential and a uniform distribution: Thus, we can again apply the EM algorithm to de- termine the mixing parameter a. This is a standard application...
... Therefore,it appears logical that a feedforward backpropagation-typeANN which has high computational capability can implementan SVM algorithm. Note that the ANN has inherent learningcapability that can ... undermodulation range. A simulated DSP-based modulator generates the data which areused to train the network by a backpropagation algorithm inthe MATLAB NeuralNetwork Toolbox. The performance of anopen-loop ... Patent Medal (1986), GE PublicationAward (1985), and a number of prize paper awards.MONDAL et al.: A NEURAL- NETWORK- BASED SPACE VECTOR PWM CONTROLLER 663III. NEURAL-NETWORK-BASEDSPACE-VECTORPWMThe...
... 1996–1998 was used as training data and data from the year1999 as model validation data. This approach wascomputationally expensive due to long training times of NN models. However, it was utilised ... Meteorological dataThe pre-processed meteorological data, based on a combination of the data from synoptic stations atHelsinki–Vantaa airport (about 15 km north of Helsinkidowntown) and Helsinki–Isosaari ... decreased the amount of dataused in the training (10% random sample of trainingdata).The fitness ofmodel was assessed from the observedand predicted values by calculating the index of agreement...
... 1996. A. E. Kim, Bangalore S., and J. Trueswell. A com-putational modelof the grammatical aspects of word recognition as supertagging. paola merloand suzanne stevenson (eds.). The Lexical Basis of ... Foundations of Statistical Natural Language Processing. TheMIT Press, Cambridge, Massachusetts, 1999.S. Narayanan and D Jurafsky. A bayesian model predicts human parse preference and readingtimes in ... processing modeling (Ju-rafsky, 1996; Narayanan and Jurafsky, 2002; Hale,2001; Crocker and Brants, 2000). Jurafsky (1996)proposed a probabilistic modelof HSPM using a parallel beam-search parsing...
... 5¢-AGCTTGCATGCCTGCAGGTCGACT-3¢ and P266 5¢-AAGGGCCCGTACGGCCGACTAGTAGG-3¢. The two PCRproducts were fused using P617 5¢-CAGTGTCCTATAATTTAAACGCGACTG-3¢ and P267 5¢-GGAAACAGTTATGTTTGGTATATTGGG-3¢. ... 5¢-ATGGTCTCAAAGGGTGAAGAAGATAAC-3¢ and P570 5¢-GGATTCTAGACTAGTTTTCCTTCCTCC-3¢. The cpr-6 and mCherry PCR products werefused using P612 5¢-TGGACCGTTCTCAGAAAGTAACTCCGC-3¢ and P598 5¢-TTTATGTTTTCTTTTAAACCTTCCTCC-3¢. ... and function in a murine model of Hermansky–Pudlak syndrome. Am J PhysiolLung Cell Mol Physiol 285, L643–L653.9 Nakatani Y, Nakamura N, Sano J, Inayama Y,Kawano N, Yamanaka S, Miyagi Y, Nagashima...
... and Magnac and Thesmar (2002) generalize these results to dynamic single-agent models. 6 Machado and Sinha (2007) develop an analytical modelof time-inconsistent smokers’ participation and ... Price Changes Structural models allow us to conduct a variety of counterfactual simulations (Chintagunta et al 2006). To understand the implications of addiction and stockpiling on manufacturer ... show that ignoring the addictive aspect of demand results in biased parameter estimates, and that the model produces reasonable estimates on the non-addictive categories. A series of simulations...
... (substantial) general-isation of the idea of passing smaller informationbits around, out of the domain of ASR and into thesystem as a whole. Some of the characterisations of the behaviour of ... TechnicalReport RR-95-11, DFKI, Saarbr¨ucken, Germany.Staffan Larsson and David Traum. 2000. Informationstate and dialogue management in the TRINDI dia-logue move engine toolkit. Natural Language ... here,we can abstract away from these differences andassume that only actual increments are commu-nicated. (Practically, it might be an advantage tokeep using an existing processor and just wrap...
... purely as condi- tions on branches, rather that trees. More generally, We will assume the schema ofa particular representa- tion provides a formal characterisation of locality. Just as phrase ... Prolog and Natural- Language Analysis. CSLI Lecture Notes, Center for the Study of Language and Information, Stan- ford, California, 1987. [12] E. Stabler. Avoid the pedestrian's paradox, ... its application to simple logic grammars [14], [13] and [8]. In particular, Johnson has developed a prototype parser for a fragment of a GB grammar [9]. The system consists ofa declara- tive...
... orientationand identification of the annotation phrase).Figure 1: Schematic visualization of the sub-areas of an annotation example.Table 1 reveals that on average only 35% of the4In general, we ... Cognitive Cost Modelof Annotations Based on Eye-Tracking DataKatrin TomanekLanguage & InformationEngineering (JULIE) LabUniversit¨at JenaJena, GermanyUdo HahnLanguage & InformationEngineering ... can rationallymanage these investments so that annotation cam-paigns are economically doable without loss in an-notation quality. The economics of annotations areat the core of Active Learning...
... Linguistics. Vienna, Austria. [8] McDonald D.D. (in preparation) Natural Language Production as a Process of Decision-making Under ConsU'alnt Ph.D. Dissertation, Department of Electrical Engineering ... 57 A Linear-time Modelof Language Production: some psychological implications (extended abstract) David D. McDonald MIT Artificial Intelligence Laboratory Cambridge, Massachusetts Traditional ... the laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency of the Department of Defence under Office of Naval Research contract N00014-75-C-0643....
... pres-ence of visual information could enable agents to emulate many elements of more natural and real-istic human conversational behavior. A computational model may also make valu-able contributions ... integrated model. It appears from both our initial data analysis, as well as our qualitative examina-tion of the data, that the pairs make tradeoffs be-tween relying on the linguistic context and ... (LRC) model, a visual-only model that uses a measure of visual salience to rank the objects in the visual field as possible referential anchors, and an integrated model that balances the visual...
... interlocutors. A game theoretic explana-tion advances the understanding of the process be-ing modeled, and hence of the applicability, andthe potential adaptation, of statistical models de-veloped on a ... newlyproposed subset in a way that makes those states- of- affairs that are in it aligned with the metaphor,whereas all other states are left out of the proposedmetaphorical frame. As the game proceeds, ... utilities. A sub-strategy is that part of the original strategy that is a strategy on thesubgame. A pair of strategies is a subgame per-fect equilibrium if, for any subgame, their sub-strategies are...