propose a <term> logical formalism </term> , which , among other things , is suitable for
</term> . A research program is described in which a particular <term> representational format
<term> evaluation scheme </term> is proposed which accounts for the effect of <term> polysemy
this paper is the first step in a project which aims to cluster and summarise <term> electronic
infrastructure </term> for <term> dialogue systems </term> which all <term> Communicator </term> participants
categories </term> in <term> local trees </term> which allow the <term> statement of generalizations
phrase-based statistical machine translation </term> which allows for the <term> retrieval </term> of
Travel Information Service ) system </term> , which allows it to answer a <term> question </term>
with implicit <term> fuzzy quantifiers </term> which are approximations to all and always ,
WH-questions </term> . These <term> models </term> , which are built from <term> shallow linguistic
judge three types of the <term> errors </term> , which are characters wrongly substituted , deleted
. By using commands or <term> rules </term> which are defined to facilitate the construction
</term> rely on <term> predominant senses </term> which are derived automatically from <term> raw
underspecified chart representations </term> which are derived from <term> dominance graphs </term>
scores and aggregates the elastic constraints which are induced by p. The paper closes with
applicable to many other <term> NLP problems </term> which are naturally framed as <term> ranking tasks
objects are <term> Chinese-English texts </term> , which are selected from different <term> language
by providing an interpretation for values which are specified by <term> disjunctions </term>
English-Chinese parallel corpora </term> , which are then used for disambiguating the <term>
difficult to detect <term> error characters </term> which are wrongly deleted and inserted . In order
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