Previous studies on the meaning of reduplication have proposed plausible accounts of the relatedness among various senses associated with it. The iconicity principle is often acclaimed as the motivation behind this process. However, reduplication can be associated with senses such as intensification and attenuation that are inconsistent with each other. The latter even seriously challenges the ...

A common strategy for Question Answering systems uses high quality ontologies or databases in order to efficiently answer questions. Some approaches to build or enrich these databases rely on machine learning classifiers for obtaining semantically related terms from unstructured text. These classifiers are based on features that may contain several kinds of linguistic knowledge: from orthograph...

Sentence modelling is a fundamental topic in computational linguistics. Recently, deep learning-based sequential models of sentence, such as recurrent neural network, have proved to be effective in dealing with the non-sequential properties of human language. However, little is known about how a recurrent neural network captures linguistic knowledge. Here we propose to correlate the neuron acti...

This paper describes changing needs among the communities that exploit language resources and recent LDC activities and publications that support those needs by providing greater volumes of data and associated resources in a growing inventory of languages with ever more sophisticated annotation. Specifically, it covers the evolving role of data centers with specific emphasis on the LDC, the pub...

ARBITER is a Prolog program that extracts assertions about macromolecular binding relationships from biomedical text. We describe the domain knowledge and the underspecified linguistic analyses that support the identification of these predications. After discussing a formal evaluation of ARBITER, we report on its application to 491,000 MEDLINE ~ abstracts, during which almost 25,000 binding rel...

A bitext, or bilingual parallel corpus, consists of two texts, each one in a different language, that are mutual translations. Bitexts are very useful in linguistic engineering because they are used as source of knowledge for different purposes. In this paper we propose a strategy to efficiently compress and use bitexts, saving, not only space, but also processing time when exploiting them. Our...

The paper presents a design strategy for elearning hypermedia interfaces based on the notion of conceptual-navigational map. It proposes to analyze the cognitive and communication problems that arise in the use of hypermedia applications with specific goals, such as elearning courseware modules, with the linguistic tools of pragmatics and discourse analysis and shows how this can help in identi...

This paper addresses the question why body-part terms are so often used to talk about other things than body parts. It is argued that the strategy of falling back on stable common ground to maximize the chances of successful communication is the driving force behind the selective advantage of body-part terms. The many different ways in which languages may implement this universal strategy sugge...