In this article, we describe the most extensive set of word associations collected to date. The database contains over 12,000 cue words for which more than 70,000 participants generated three responses in a multiple-response free association task. The goal of this study was (1) to create a semantic network that covers a large part of the human lexicon, (2) to investigate the implications of a m...

This paper presents a new research and development project called Papillon. It started as a French-Japanese cooperation between laboratories GETA/CLIPS (Grenoble, France) and NII (Tokyo, Japan). Its goal is to build a multilingual lexical database and to extract from it digital bilingual dictionaries. The database is built with monolingual dictionaries, one for each language of the database, li...

Resolving links between subsequent referents (e.g., the car) and open discourse roles (as in Keith drove to London yesterday. The car kept overheating) is crucial for discourse understanding. This article investigates the contribution of lexical semantic factors (e.g., that drive implies using a vehicle) as compared to more general contextual factors in the on-line resolution of such links. We ...

We present a machine translation framework in which the interlingua— Lexical Conceptual Structure (LCS)—is coupled with a definitional component that includes bilingual (EuroWordNet) links between words in the source and target languages. While the links between individual words are language-specific, the LCS is designed to be a language-independent, compositional representation. We take the vi...

The latest generation of Web search tools is beginning to exploit hypertext link information to improve ranking 1, 2 and crawling 3–5 algorithms. The hidden assumption behind such approaches, a correlation between the graph structure of the Web and its content, has not been tested explicitly despite increasing research on Web topology 6–9. Here I formalize and quantitatively validate two conjec...

In this paper we present a self-organizing neural network model of early lexical development called DevLex. The network consists of two self-organizing maps (a growing semantic map and a growing phonological map) that are connected via associative links trained by Hebbian learning. The model captures a number of important phenomena that occur in early lexical acquisition by children, as it allo...

We present our ongoing work on Karp, Språkbanken’s (the Swedish Language Bank) open lexical infrastructure, which has two main functions: (1) to support the work on creating, curating, and integrating our various lexical resources; and (2) to publish daily versions of the resources, making them searchable and downloadable. An important requirement on the lexical infrastructure is also that we m...