[PDF] Top 20 Latent Variable Modeling of String Transductions with Finite State Methods
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Latent Variable Modeling of String Transductions with Finite State Methods
... with latent classes and no regions, where it accounts for only 30% of the ...or latent regions are used; however, it goes up to 27% if both latent classes and regions are ... See full document
10
Weighting Finite State Transductions With Neural Context
... for string-to-string transduction ...classical finite-state approaches to transduction and newer neural ...a latent-variable model hand-crafted for morphological transduction ... See full document
11
Inference and Interpretability in Latent Variable Modeling
... the state-of the-art methods for modelling of heterogeneous ...the state- of-the-art methods for inference with hierarchical ...of latent variables in combination with complex ... See full document
303
Suitability of Finite State Automata to Model String Constraints in Probablistic Symbolic Execution
... non-trivial string alphabets and string lengths, quantitative string analyses must make use of some form of symbolic string model to represent this set of values a string ... See full document
182
Wrestling With Issues in Scale Development Using Joint Latent Variable Methods
... constructs such as depression and intelligence provided motivation for the develop- ment of measurement techniques to quantify and explain these entities via multiple items in a scale. The literature in these fields ... See full document
147
The Finite String Newsletter: Announcements
... Papers will be presented by researchers from fo u r conti- nents on topics including • legal expert systems • conceptual legal retrieval systems • automatic processing of legal text • co[r] ... See full document
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The FINITE STRING Newsletter: Announcements
... TINLAP3, New Mexico State University, Las Cruces, New Mexico Third ACL European Chapter Conference, Copenhagen University, Copenhagen, Denmark see page 223 AISB 87 Conference, Edinburgh,[r] ... See full document
5
Arabic Language Modeling with Finite State Transducers
... We approach the processing of Arabic morphol- ogy, both inflectional and derivational, with finite state machines (FSMs). We use a technique that pro- duces many morphological analyses for each word, ... See full document
6
Learning the Structure of Variable Order CRFs: a finite state perspective
... Conditional Random Fields (CRFs) (Lafferty et al., 2001; Sutton and McCallum, 2006) are a method of choice for many sequence labelling tasks such as Part of Speech (PoS) tagging, Text Chunking, or Named Entity ... See full document
7
Bayesian latent variable methods for longitudinal processes with applications to fetal growth
... Latent variable methods provide a flexible approach for complex modeling of correlation in longitudinal ...discussed methods for using latent variables to aggre- gate multiple ... See full document
150
ltm: An R Package for Latent Variable Modeling and Item Response Analysis
... Rasch, the two-parameter logistic, the three-parameter, and the graded response models are returned, by default, under parameterizations (2) and (4). This feature is controlled by the IRT.param argument. Starting values ... See full document
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Finite State Methods and Description Logics
... provides the key to establishing the regularity of MSO-formulas, block compression bc captures the essence of the slogan ”no time without change” behind the Russell-Wiener conception of time. Whereas ρ A B limits what ... See full document
9
A dynamic latent variable model for source separation
... The latent bases are learned for each speaker and noise from their respective training data (same parameter values as ...other methods for all noise types, except white ... See full document
6
Latent Variable Modeling Approach for Assessing Social Impacts of Mine Closure
... Mining stimulates environmental and economic impacts on the neighboring community right from the inception to the closure of its operations. The society in the neighborhood of mining gradually adopts a characteristic ... See full document
16
Charge Based Modeling In State Variable Based Simulator.
... in modeling advanced ...to modeling electronic systems, for example, circuit elements are already viewed as discrete objects and at the same time as an integral part of a (circuit) ... See full document
87
Latent Variable Sentiment Grammar
... Sentiment composition Moilanen and Pulman (2007) introduced a seminal model for sentiment composition (Montague, 1974), composed positive, negative and neutral (+1/-1/0) singles hierarchi- cally. Taboada et al. (2011) ... See full document
10
Modeling the complex gene × environment interplay in the simulated rheumatoid arthritis GAW15 data using latent variable structural equation modeling
... equation modeling (SEM) statistical frame- work, which solves systems of linear and non-linear equa- tions, to test the overall fit of hypothesized "causal" RA model(s) formally by employing a novel ... See full document
6
Robustness in Latent Variable Models
... these methods to joint ...on latent variables in the mixed effects model for the longitudinal data, as well as to intra-subject random errors when there is sufficient longitudinal infor- ... See full document
90
Latent Variable Realism in Psychometrics
... T, is large. Time-series data in the behavior sciences are typically used to generate dynamic factor models that track development. In a standard factor analysis of between-subject variability, N is usually large (and ... See full document
205
Modeling Reduplication with 2 way Finite State Transducers
... To showcase empirical coverage of 2-way FSTs and their practical utility, we have constructed the RedTyp database 7 which contains entries for 138 reduplicative processes from 91 languages gleaned from various surveys ... See full document
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