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.
Input: We built a phrase-based Chinese-to-English SMT system by using Moses BIBREF18 . In the end, the final parallel text consists of around 8.8M sentence pairs, 228M Chinese tokens, and 254M English tokens (a token can be a word or punctuation symbol). The total number of words in these two corpora is 1.81M for Chinese and 2.03M for English.
Question: Did they only experiment with one language pair?
Output:
Yes