Abstract:
Extracting synonyms from dictionaries or
corpora is gaining a special attention as synonyms play an
important role in improving NLP application performance.
This paper presents a survey of the different approaches and
trends used in automatically extracting the synonyms. These
approaches can be divided into four main categories. The first
approach is to find the Synonyms using a translation graph,
The second approach is to discover new transition pairs such
as (Arabic – English) (English – France) then (Arabic-
France). The third approach is to construct new WordNets by
exploring synonymy graphs, and the fourth approach is to find
similar words from corpora using Deelp Learning methods,
such as word embeddings and recently BERT models. The
papers also presents comparative analysis between these
approoaches, and highlights potential adaptation to generate
synonyms automatically in the Arabic language as future work.
