搜索结果: 1-15 共查到“应用语言学 modeling”相关记录23条 . 查询时间(0.25 秒)
Adaptive Generation in Dialogue Systems Using Dynamic User Modeling
Adaptive Generation Dialogue Systems Dynamic User Modeling
2015/9/14
We address the problem of dynamically modeling and adapting to unknown users in resource-scarce domains in the context of interactive spoken dialogue systems. As an example, we show how a system can l...
Modeling Regular Polysemy:A Study on the Semantic Classification of Catalan Adjectives
Modeling Regular Polysemy Semantic Classification Catalan Adjectives
2015/9/10
We present a study on the automatic acquisition of semantic classes for Catalan adjectives from distributional and morphological information, with particular emphasis on polysemous adjectives. The aim...
Discriminative Word Alignment by Linear Modeling
Discriminative Word Alignment Linear Modeling
2015/9/8
Word alignment plays an important role in many NLP tasks as it indicates the correspondence between words in a parallel text. Although widely used to align large bilingual corpora, generative models a...
Modeling Local Coherence:An Entity-Based Approach
Modeling Local Coherence Entity-Based Approach
2015/9/6
This article proposes a novel framework for representing and measuring local coherence. Central to this approach is the entity-grid representation of discourse, which captures patterns of entity distr...
Sometimes Average is Best:The Importance of Averaging for Prediction using MCMC Inference in Topic Modeling
Sometimes Average is Best Averaging for Prediction MCMC Inference Topic Modeling
2015/9/2
Markov chain Monte Carlo (MCMC) approximates the posterior distribution of latent variable models bygenerating many samples and averaging over them. In practice, however, itis often more convenient to...
Beyond LDA:Exploring Supervised Topic Modeling for Depression-Related Language in Twitter
Beyond LDA Exploring Supervised Topic Modeling Depression-Related Language Twitter
2015/9/2
Topic models can yield insight into how depressed and non-depressed individuals use language differently. In this paper, we explore the use of supervised topic models in the analysis of linguistic sig...
A Machine Learning Approach to Modeling Scope Preferences
Machine Learning Approac Modeling Scope Preferences
2015/8/28
This article describes a corpus-based investigation of quantifier scope preferences. Following recent work on multimodular grammar frameworks in theoretical linguistics and a long history of combining...
Using Hidden Markov Modeling to Decompose Human-Written Summaries
Human-Written Summaries Hidden Markov
2015/8/27
Professional summarizers often reuse original documents to generate summaries. The task of summary sentence decomposition is to deduce whether a summary sentence is constructed by reusing
the origina...
Probabilistic Top-Down Parsing and Language Modeling
Probabilistic Top-Down Parsing Language Modeling
2015/8/26
This paper describes the functioning of a broad-coverage probabilistic top-down parser, and its application to the problem of language modeling for speech recognition. The paper first introduces key n...
Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
Dialogue Act Modeling Automatic Tagging Recognition of Conversational Speech
2015/8/25
We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as STATEMENT, Question, BACKCHANNEL, Agreement, Disagreement, and Apology. Our ...
The Place of Modeling in Cognitive Science
Modeling frameworks Computer simulation Connectionist models Bayesian approaches Dynamical systems Symbolic models of cognition Hybrid models Cognitive architectures
2015/6/23
I consider the role of cognitive modeling in cognitive science. Modeling, and the computers that enable it, are central to the field, but the role of modeling is often misunderstood. Models are not in...
Modeling Unsupervised Perceptual Category Learning
human learning mixture of Gaussians online learning unsupervised learning
2015/6/23
During the learning of speech sounds and other perceptual categories, category labels are not provided, the number of categories is unknown, and the stimuli are encountered sequentially. These constra...
Modeling of word translation: Activation flow from concepts to lexical items
activation flow bilingualism context effects modeling word translation
2015/4/24
Whereas most theoretical and computational models assume a continuous flow of activation from concepts to lexical items in spoken word production, one prominent model assumes that the mapping of conce...
Lexical Modeling for Arabic ASR: A Systematic Approach
automatic speech recognition Arabic diacritics pronunciation rules language model lexical model joint sequence model pronunciation mixture model
2014/11/27
Arabic has an ambiguous mapping between words and pronunciations, making it a deep orthographic system. This ambiguity can be resolved through diacritics, which if displayed, would compose 30% of char...
Combining missing-feature theory, speech enhancement, and speaker-dependent /-independent modeling for speech separation
Speech enhancement Speaker modeling Speech recognition Missing-feature theory Posterior union model
2014/11/27
This paper considers the separation and recognition of overlapped speech sentences assuming single-channel observation. A system based on a combination of several different techniques is proposed. The...