Automatic Extraction of the Romanian Academic Word List: Data and
  Methods
Ana-Maria Bucur Andreea Dincă Mădălina Chitez Roxana Rogobete
This paper presents the methodology and data used for the automatic
extraction of the Romanian Academic Word List (Ro-AWL). Academic Word Lists are
useful in both L2 and L1 teaching contexts. For the Romanian language, no such
resource exists so far. Ro-AWL has been generated by combining methods from
corpus and computational linguistics with L2 academic writing approaches. We
use two types of data: (a) existing data, such as the Romanian Frequency List
based on the ROMBAC corpus, and (b) self-compiled data, such as the expert
academic writing corpus EXPRES. For constructing the academic word list, we
follow the methodology for building the Academic Vocabulary List for the
English language. The distribution of Ro-AWL features (general distribution,
POS distribution) into four disciplinary datasets is in line with previous
research. Ro-AWL is freely available and can be used for teaching, research and
NLP applications.