Error Analysis for Vietnamese Dependency Parsing
Table IV: Accuracy relative to sentence length.
['Sentence Length', '[BOLD] Percentage', '[BOLD] MST', '[BOLD] Malt', 'Δ']
Difference between the two parsing accuracies (Δ) is less than 1.0. In general, both of the parsers tend to have higher accuracies for shorter sentences. Similar to other languages, MaltParser tends to perform better on short sentences (sentence length of 11–20 accounts for 35.39%). This is because the greedy inference algorithm employed by MaltParser makes fewer parsing decisions. As a result, the likelihood of error propagation is reduced when parsing short sentences. The rich feature representation also increases the performance of MaltParser.