  Historically two types of NLP have been investigated: fully automated
processing of language by machines (NLP) and autonomous processing of natural
language by people, i.e. the human brain (psycholinguistics). We believe that
there is room and need for another kind, INLP: interactive natural language
processing. This intermediate approach starts from peoples' needs, trying to
bridge the gap between their actual knowledge and a given goal. Given the fact
that peoples' knowledge is variable and often incomplete, the aim is to build
bridges linking a given knowledge state to a given goal. We present some
examples, trying to show that this goal is worth pursuing, achievable and at a
reasonable cost.
