in response to receiving a text sequence input of two or more words, determining and storing the text sequence and a target word of the text sequence;

inputting the text sequence including the target word into a dependency parser and outputting syntactic dependency data for the target word associated with a syntactic dependency relationship between the target word and at least one other word of the text sequence;

retrieving a target word vector indicating a semantic meaning of the target word, a set of candidate synonyms for the target word and a set of candidate word vectors indicating semantic meanings of the candidate synonyms;

inputting the syntactic dependency data into a trained neural network-based model and receiving as output a dependency context vector indicating a semantic meaning of the syntactic dependency data;

for each candidate synonym of the set of candidate synonyms using the target word vector, the candidate word vector, and the dependency context vector, computing a similarity score, wherein the similarity score indicates a semantic similarity of the candidate synonym to the target word;

when the similarity score for a candidate synonym satisfies a criterion, adding the candidate synonym to a subset of candidate synonyms; and

displaying the subset of candidate synonyms on a graphical user interface of a mobile computing device.