Patrick Drouin

An Improved Automatic Term Recognition Method for Spanish

The

Term extraction using non-technical corpora as a point of leverage

C\mbox{-}value/NC\mbox{-}value

Detection of domain specific terminology using corpora comparison

algorithm, a hybrid approach to automatic term recognition, has been originally developed to extract multiword term candidates from specialised documents written in English. Here, we present three main modifications to this algorithm that affect how the obtained output is refined. The first modification aims to maximise the number of real terms in the list of candidates with a new approach for the stop-list application process. The second modification adapts the

Two methods for extracting “specific” single-word terms from specialized corpora: Experimentation and evaluation

C\mbox{-}value

Texto4Science: A Québec French database of annotated text messages

calculation formula in order to consider single word terms. The third modification changes how the term candidates are grouped, exploiting a lemmatised version of the input corpus. Additionally, size of candidates context window is variable. We also show the necessary linguistic modifications to apply this algorithm to the recognition of term candidates in Spanish.