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Speech segmentation is supported by multiple sources of information that may either inform language processing specifically, or serve learning more broadly. The Iambic/Trochaic Law (ITL), where increa...
Uncertainty is an important linguistic phenomenon that is relevant in various Natural Language Processing applications, in diverse genres from medical to community generated, newswire or scienti@...
We identify three components of any learning theory: the representations, the learner’s data intake, and the learning algorithm. With these in mind, we model the acquisition of the English anaphoric ...
It is, I suppose, a truism that an adequate theory of meaning for a natural language L will associate each sentence of L with its meaning. But the converse does not hold. A theory that associates each...
We present a method and a tool, OntoLearn, aimed at the extraction of domain ontologies from Web sites, and more generally from documents shared among the members of virtual organizations. OntoLearn ...
Automatic summarization of open-domain spoken dialogues is a relatively new research area. This article introduces the task and the challenges involved and motivates and presents an approach for obt...
This paper examines the structure of the left edge of the clause in Yiddish, and its consequences for theories of clausal structure and functional categories. Data from verb-second, wh-questions, and ...
Preparing a multi-purpose lexicon requires a systematic analysis of inter-conceptual relations. These relations are of two types, namely (i) syntactic and (ii) semantic, which can further be decompose...
Mapping heterogeneous ontologies is usually performed manually by domain experts, or accomplished by computer programs via comparing the structures of the ontologies and the linguistic semantics of th...
It is argued that the principles needed to explain linguistic behavior are domain-general and based on the impact that specific experiences have on the mental organization and representation of langua...
The placement of the particle before or after an object in the English verb-particle construction is influenced by a variety of factors. We argue that many of them can be subsumed under a single sim...
We initially describe a feature-rich discriminative Conditional Random Field (CRF) model for Information Extraction in the workshop announcements domain, which offers good baseline performance in the ...
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...
There is great variability in whether foreign sounds in loanwords are adapted, such that segments show cross-word and cross-situational variation in adaptation. Previous research proposed that word fr...

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