Visual Story Post-Editing
Table 1: Average number of tokens with each POS tag per story. (Δ: the differences between post- and pre-edit stories. NUM is omitted because it is nearly 0. Numbers are rounded to one decimal place.)
['[BOLD] AREL', '[BOLD] .', '[BOLD] ADJ', '[BOLD] ADP', '[BOLD] ADV', '[BOLD] CONJ', '[BOLD] DET', '[BOLD] NOUN', '[BOLD] PRON', '[BOLD] PRT', '[BOLD] VERB', '[BOLD] Total']
Second, people shorten AREL’s stories but lengthen GLAC’s stories. We calculate the average number of Part-Of-Speech (POS) tags for tokens in each story using the python NLTK Bird et al. We also find that the average number of tokens in an AREL story (43.0, SD=5.0) decreases (41.9, SD=5.6) after human editing, while that of GLAC (35.0, SD=4.5) increases (36.7, SD=5.9). Hsu has observed that people often replace “determiner/article + noun” phrases (e.g., “a boy”) with pronouns (e.g., “he”) in AREL stories Hsu et al. However, this observation cannot explain the story lengthening in GLAC, where each story on average has an increased 0.9 nouns after editing.