Lexical-semantic resources are fundamental building blocks in natural language processing (NLP). Frequently, they fail to cover the informal vocabulary of web users as represented in user-generated content. This paper aims at exploring folksonomies as a novel source of lexical-semantic information. It analyzes two prototypical examples of folksonomies, namely BibSonomy and Delicious, and utiliz...

In this paper we piresent the results of a study of the definition vocabu­ lary o f Svensk ordbok. It is part of our on-going work on the generation of a machine-tractable dictionary from this dictionary, in specific, of making its definitions exploitable to a parser. Aiming, in particular, at the auto­ matic lemmatisation of the definition vocabulary, the study includes an automatic morphologi...

For very large vocabulary vocal dictation systems, we present a decoding strategy useful to reduce the lexical decoding cost. For each test-utterance, a sub-lexicon is selected from a very large recognition vocabulary. Such a recognition sub-lexicon is called Dynamic Lexicon (DL). Various algorithms of DL selection are developed and tested in terms of coverage rate of textual corpus. From these...

This article investigates the use of Internet news sources to automatically adapt the vocabulary of a French and an English broadcast news transcription system. A specific method is developed to gather training, development and test corpora from selected websites, normalizing them for further use. A vectorial vocabulary adaptation algorithm is described which interpolates word frequencies estim...

Although the vocabularies of ASR systems are designed to achieve high coverage for the expected domain, out-ofvocabulary (OOV) words cannot be avoided. Particularly, for daily and real-time transcription of Broadcast News (BN) data in highly inflected languages, the rapid vocabulary growth leads to high OOV word rates. To overcome this problem, we present a new morpho-syntatic approach to dynam...

Although the vocabularies of ASR systems are designed to achieve high coverage for the expected domain, out-ofvocabulary (OOV) words cannot be avoided. Particularly, for daily and real-time transcription of Broadcast News (BN) data in highly inflected languages, the rapid vocabulary growth leads to high OOV word rates. To overcome this problem, we present a new morpho-syntatic approach to dynam...