  In this work, we employ a semi-automatic method based on back translation to
generate a sentential paraphrase corpus for the Armenian language. The initial
collection of sentences is translated from Armenian to English and back twice,
resulting in pairs of lexically distant but semantically similar sentences. The
generated paraphrases are then manually reviewed and annotated. Using the
method train and test datasets are created, containing 2360 paraphrases in
total. In addition, the datasets are used to train and evaluate BERTbased
models for detecting paraphrase in Armenian, achieving results comparable to
the state-of-the-art of other languages.
