Despite of the importance of lexical resources for a number of NLP applications (Machine Translation, Information Extraction, Event Detection and Tracking, Question Answering, among others), there has been a traditional lack of generic tools for the creation, maintenance and management of computational lexica. The most direct obstacle for the development of such generic tools, that is, independ...

As lexical databases have proliferated in multiple formats, there has been a growing concern over the reusability of lexical resources. The interchange and integration of data, as well as the development of common software is increasingly important to avoid duplications of effort and enable the development of large-scale databases of linguistic information. A unified approach for the developmen...

We present a neurocomputational model with self-organizing maps that accounts for the emergence of taxonomic responding and fast mapping in early word learning, as well as a rapid increase in the rate of acquisition of words observed in late infancy. The quality and efficiency of generalization of word-object associations is directly related to the quality of prelexical, categorical representat...

In this paper we present a self-organizing neural network model to simulate the early vocabulary development in English and Chinese. We focus on how the different lexical composition patterns in the two languages can emerge, develop and change when the learner acquires an increasing number of words. Our results suggest that certain lexical characteristics in the linguistic input (e.g., word fre...

In this paper we concentrate on the current position of the ISLE Computational Lexicon Working Group (CLWG), whose activities aim at defining a general schema for a multilingual lexical entry (MILE), as the basis for a standard framework for multilingual computational lexicons. The overall structure of the MILE will be illustrated, with particular attention to those aspects of the MILE that are...

This paper reports on our Recognizing Textual Entailment (RTE) system developed for participation in the Text Analysis Conference RTE 2009 competition. The development of the system is based on the lexical entailment between two text excerpts, namely the hypothesis and the text. To extract atomic parts of hypotheses and texts, we carry out syntactic parsing on the sentences. We then utilize Wor...

Consonants have been proposed to carry more of the weight of lexical processing than vowels. This consonant bias has consistently been found in adults and has been proposed to facilitate early language acquisition. We explore the origins of this bias over the course of development and in infants learning different languages. Although the consonant bias was originally thought to be present at bi...

When working on a lexical resource, such as Swedish FrameNet (SweFN), assumptions based on linguistic theories are made, and methodological directions based upon them are taken. These directions often need to be revised when not beforehand foreseen problems arise. One assumption that was made already in the early development stages of SweFN was that each lexical entry from the reference lexicon...

In this paper, we introduce the Lefff , a freely available, accurate and large-coverage morphological and syntactic lexicon for French, used in many NLP tools such as large-coverage parsers. We first describe Alexina, the lexical framework in which the Lefff is developed as well as the linguistic notions and formalisms it is based on. Next, we describe the various sources of lexical data we use...

Standardized lexical resources are an important prerequisite for the development of robust and wide coverage natural language processing application. Therefore, we applied the Lexical Markup Framework, a recent ISO initiative towards standards for designing, implementing and representing lexical resources, on a test bed of data for an Arabic full form lexicon. Besides minor structural accommoda...