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Bilingual Random Walk Models for Automated Grammar Correction of ESL Author Produced Text

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Figure

Figure 1: Example English-Korean dictionary graph for a subset of the edges out of the English head, leader, andchief.
Figure 2: Example wFSTs for the sentence “head chief”.From top to bottom, the pictured transducers are the ob-lserved sentence s , a noise model nwith parameter λ , aunigram language model l representing the normalizedfrequency of each word, and the fully composed model, ◦ n s◦ .
Table 1: METEOR and BLEU scores for all experiments.
Table 3: Final parameter values after 10 iterations for Ex-periment 2 with 5 and 10 word random walk candidatelimits.
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