TASK DEFINITION: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
PROBLEM: Then we define the similarity between INLINEFORM7 and INLINEFORM8 by, DISPLAYFORM0 We note that the similarity metric defined above for sentences is equally applicable for n-gram retrieval.
Question: Which similarity measure do they use in their n-gram retrieval approach?

SOLUTION: we define the similarity between INLINEFORM7 and INLINEFORM8 by, DISPLAYFORM0

PROBLEM: SIGHAN Bakeoff defines two types of evaluation settings, closed test limits all the data for learning should not be beyond the given training set, while open test does not take this limitation BIBREF21.
Question: What is meant by closed test setting?

SOLUTION: closed test limits all the data for learning should not be beyond the given training set, while open test does not take this limitation

PROBLEM: Even if LangID-High does not present a more accurate result, it does present a more compact one: LangID-High is 15.4 MB, while the combined wFST high resource models are 197.5 MB.
Question: how is model compactness measured?

SOLUTION:
Using file size on disk