One of the main resources used for the task of bilingual lexicon extraction from comparable corpora is : the bilingual dictionary, which is considered as a bridge between two languages. However, no particular attention has been given to this lexicon, except its coverage, and the fact that it can be issued from the general language, the specialised one, or a mix of both. In this paper, we want t...

This paper describes the development of a specialized lexical resource for a specialized domain, namely medicine. Based on the observation of a large collection of terms, we highlight the specificities that such a lexicon should take into account, and we show that general resources lack a large part of the words needed to process specialized language. We describe an experiment to feed semi-auto...

In this paper we describe the methodology developed in the framework of a feasibility study for the derivation of a semantically annotated French lexicon from a monolingual Italian lexical resource. Firstly, an outline of the source lexicon is provided. Then, the two different and complementary strategies that have been experimented for pairing off the relevant monolingual Italian entries and t...

The SRI Core Language Engine (CLE) is a general-purpose natural language front end for interactive systems. It translates English expressions into representations of their literal meanings. This paper presents the lexical acquisition component of the CLE, which allows the creation of lexicon entries by users with knowledge of the application domain but not of linguistics or of the detailed work...

The goal of this work was to develop an algorithm for the integration of the lexicon with the language model which would be computationally efficient in terms of memory requirements, even in the case of large trigram models. Two specialized versions of the algorithm for transducer composition were implemented. The first one is basically a composition algorithm that uses the precomputed set of t...

Words often convey affect—emotions, feelings, and attitudes. Lexicons of word– affect association have applications in automatic emotion analysis and natural language generation. However, existing lexicons indicate only coarse categories of affect association. Here, for the first time, we create an affect intensity lexicon with real-valued scores of association. We use a technique called best–w...

This paper describes a grammatically motivated system for extracting opinionated text. A technique for extracting appraisal expressions has been described in previous work, using manually constructed syntactic linkages to locate targets of the opinions. The system extracts attitudes using a general lexicon—and some candidate targets using a domain specific lexicon—and finds additional targets u...

The project described in this paper, which is still in the preliminary phase, concerns the design and implementation of a computational lexicon for Maltese, a language very much in current use but so far lacking most of the infrastructure required for NLP. One of the main characteristics of Maltese, a source of many difculties, is that it is an amalgam of di erent language types (chie y Semitic...

The lexicon is the central locus of association between form and meaning. The prior sections in this chapter focus on the lexicon as it figures in the cognitive systems of individuals. The lexicon can also be viewed at the level of language communities, as shared intellectual property that supports mechanisms of information transmission amongst individuals. This viewpoint is foreshadowed by Haw...

Semantic lexical resources play an important part in both corpus linguistics and NLP. Over the past 14 years, a large semantic lexical resource has been built at Lancaster University. Different from other major semantic lexicons in existence, such as WordNet, EuroWordNet and HowNet, etc., in which lexemes are clustered and linked via the relationship between word/MWE senses or definitions of me...