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In this exploratory study we test the hypothesis that the retrieval from memory of proper noun Agents (PNAs) under processing pressure causes a greater proportion of such semantic arguments to be plac...
Research into corpus-based semantics has focused on the development of ad hoc models that treat single tasks, or sets of closely related tasks, as unrelated challenges to be tackled by extracting diff...
This article aims to present a set of discourse structure relations that are easy to code and to develop criteria for an appropriate data structure for representing these relations. Discourse struct...
CorMet is a corpus-based system for discovering metaphorical mappings between concepts. It does this by finding systematic variations in domain-specific selectional preferences, which are...
In this paper we compare pronoun resolution algorithms and introduce a centering algorithm (LefRight Centering) that adheres to the constraints and rules of centering theory and is an alternative to ...
We present an algorithm for learning from unlabeled text, based on the Vector Space Model (VSM) of information retrieval, that can solve verbal analogy questions of the kind found in the SAT college e...
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...
We present a generative model for the unsupervised learning of dependency structures. We also describe the multiplicative combination of this dependency model with a model of linear constituency. The ...
A Flexible, Scalable Finite-State Transducer Architecture for Corpus-Based Concatenative Speech Synthesis.
Fundamental Frequency Modeling for Corpus-Based Speech Synthesis Based on a Statistical Learning Technique.
Splittable Compounds (SCs henceforth) are a rather productive type of disyllabic verbal construction in Chinese, whose two morphological elements can be used together or separated by other interposing...
This paper proposes a novel two-layer approach to fundamental frequency modeling for concatenative speech synthesis based on a statistical learning technique called additive models. We define an addit...
This article presents a seven-step corpus-based approach to discourse analysis that starts with a detailed analysis of each individual text in a corpus that can then be generalized across all texts of...
Cohesion as an indispensable linguistic feature in discourse analysis and translation has aroused many researchers’ interest. To explore the regularity in shifting cohesive devices from English into C...
This paper illustrates compiling a corpus of academic texts from the disciplines of economics and business administration, as the basis for designing a lexical component of the English for Academic ...

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