Enriching Word Vectors with Subword Information
(f) En Syntactic
['[EMPTY]', '2', '3', '4', '5', '6']
The proposed model relies on the use of character n-grams to represent words as vectors. As mentioned in Sec. This choice was arbitrary, motivated by the fact that n-grams of these lengths will cover a wide range of information. They would include short suffixes (corresponding to conjugations and declensions for instance) as well as longer roots. In this experiment, we empirically check for the influence of the range of n-grams that we use on performance.