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赣南师范大学外国语学院应用语言学课件Topic 3 Some statistical procedures。
赣南师范大学外国语学院应用语言学课件Topic 2 Krashen's hypotheses。
赣南师范大学外国语学院应用语言学课件Topic 1 Corpus Linguistics。
This paper is concerned with automatic generation of all possible questions from a topic of interest. Specifically, we consider that each topic is associated with a body of texts containing useful inf...
Multi-labeled corpora, where each document is tagged with a set of labels, are ubiquitous. When the number of unique labels in the dataset is large, there are naturally some dependencies among the lab...
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...
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...
The problem of proposing referents for anaphoric expressions has been extensively researched in the literature and significant insights have been gained through the various approaches. However,...
We present a probabilistic model that uses both prosodic and lexical cues for the automatic segmentation of speech into topically coherent units. We propose two methods for combining lexical and proso...
For more than 50 years, linguists have been interested in the educational challenges faced by speakers of African American Vernacular English, creoles, and other vernaculars, believing that the perspe...
How can the development of ideas in a scientific field be studied over time? We apply unsupervised topic modeling to the ACL Anthology to analyze historical trends in the field of Computational Lingui...
The use of topic models to analyze domainspecific texts often requires manual validation of the latent topics to ensure that they are meaningful. We introduce a framework to support such a large-scale...
Supplementary Figure 2 shows an enlarged version of Figure 1 in the main paper with additional details in the caption.Supplementary Figure 3 shows additional data points for Figure 7 in the main paper...
We propose an extension to the recent approaches in topic-mixture modeling such as Latent Dirichlet Allocation and Topic Tracking Model for the purpose of unsupervised adaptation in speech recognition...
Adapting language models across styles and topics, such as for lecture transcription, involves combining generic style models with topic-specific content relevant to the target document. In this work,...

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