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赣南师范大学外国语学院应用语言学课件Topic 1 Corpus Linguistics
Linguistic corpus design is a critical concern for building rich annotated corpora useful in different domains of applications. For example, speech technologies such as ASR (Automatic Speech Recogniti...
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...
We present a vector space–based model for selectional preferences that predicts plausibility scores for argument headwords. It does not require any lexical resources (such as WordNet). It can be train...
This article presents an algorithm for translating the Penn Treebank into a corpus of Combinatory Categorial Grammar (CCG) derivations augmented with local and long-range word–word dependencies. The ...
The Proposition Bank project takes a practical approach to semantic representation, adding a layer of predicate-argument information, or semantic role labels, to the syntactic structures of the Penn...
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...
The Web, teeming as it is with language data, of all manner of varieties and languages, in vast quantity and freely available, is a fabulous linguists’ playground. This special issue of Computationa...
Parallel corpora have become an essential resource for work in multilingual natural language processing. In this article, we report on our work using the STRAND system for mining parallel text on th...
In this book Hunston and Francis describe an approach to lexical and grammatical description that was used to produce two remarkable Collins COBUILD reference works, Grammar Patterns 1: Verbs and Gram...
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 ...
Bigrams and trigrams are commonly used in statistical natural language processing; this paper will describe techniques for working with much longer n-grams. Suffix arrays (Manber and Myers 1990) were ...
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...
in the early 1980s, Ivan was invited to start a natural language project at Hewlett Packard Labs, just up the hill from the Stanford campus.

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