In this paper, we propose a method for automatic term recognition (ATR) which uses the statistical differences of relative frequencies of terms in target domain corpus and elsewhe...
With a view to rationalise the evaluation process within the Orange Labs spoken dialogue system projects, a field audit has been realised among the various related professionals. ...
Marianne Laurent, Philippe Bretier, Carole Manquil...
This paper describes the process and the resources used to automatically annotate a French corpus of spontaneous speech transcriptions in super-chunks. Super-chunks are enhanced c...
Olivier Blanc, Matthieu Constant, Anne Dister, Pat...
Broad-coverage language resources which provide prior linguistic knowledge must improve the accuracy and the performance of NLP applications. We are constructing a broad-coverage ...
A considerable amount of work has been put into development of stemmers and morphological analysers. The majority of these approaches use hand-crafted suffix-replacement rules but...
Automatic content scoring for free-text responses has started to emerge as an application of Natural Language Processing in its own right, much like question answering or machine ...
This paper focuses on the central role played by lexical information in the task of Recognizing Textual Entailment. In particular, the usefulness of lexical knowledge extracted fr...
Statistical Machine Translation (MT) systems have achieved impressive results in recent years, due in large part to the increasing availability of parallel text for system trainin...
Zhiyi Song, Stephanie Strassel, Gary Krug, Kazuaki...
LT World (www.lt-world.org) is an ontology-driven web portal aimed at serving the global language technology community. Ontology-driven means, that the system is driven by an onto...