This paper describes the official runs of TNO TPD for CLEF-2001. We participated in the monolingual, bilingual and multilingual tasks. The main contribution of this paper is a systematic comparison of three types of translation resources for bilingual retrieval based on query translation. We compared several techniques based on machine readable dictionaries, statistical dictionaries generated f...

The main title of this work might be a bit misleading, because it creates the impression that a very wide and general topic will be discussed. The subtitle, however, is much more to the point, since the author specifically investigates English and French monolingual dictionaries in view of certain aspects. The author makes it clear (2001: 210) that she does not want to describe general "influen...

We propose a method for selecting and ranking translation candidates using as, input disambiguated source language expressions with thesaurus-compatible senses. This procedure provides the means for choosing contextually appropriate translations automatically once the sense of the expression in the source language is known. Results can be stored to create a database where bilingual dictionary e...

Bilingual machine-readable dictionaries are knowledge resources useful in many automatic tasks. However, compared to monolingual computational lexicons like WordNet, bilingual dictionaries typically provide a lower amount of structured information such as lexical and semantic relations, and often do not cover the entire range of possible translations for a word of interest. In this paper we pre...

We report on two different approaches to the incorporation of adjectives in Spanish WordNet based on automatic extraction techniques using EuroWordNet and machine-readable dictionaries. We show that a monolingual dictionary approach enables to exploit relations between different parts of speech and enrich the internal structure of the Spanish WordNet, while the methods based on bilingual dictio...

Eurospider participated in both the multilingual and monolingual retrieval tasks for CLEF 2001. Our multilingual experiments, the main focus of this year’s work, combine multiple approaches to cross-language retrieval: machine translation, similarity thesauri, and machine-readable dictionaries. We experimented with both query translation and document translation. The monolingual experiments foc...

Thomson Legal and Regulatory participated in the monolingual, the bilingual and the multilingual tracks. Our monolingual runs added Swedish to the languages we had submitted in previous participations. Our bilingual and multilingual efforts used English as the query language. We experimented with dictionaries and similarity thesauri for the bilingual task, while we used machine translations in ...