SlowGuess/ACL_2020_OCR huggingface dataset:
Vocabulary Size. Table 10 gives the vocabulary size of models with different segmentation granularities. We employ the Urheen<sup>5</sup> tool to segment the Chinese text into words.
ROUGE Evaluation Details. In En2Zh task, we first delete the tags  $<t>$  and  $</t>$  generated by models. Then, we convert the text units in
the reference and the system output into English IDs, such as "word1", "word2", etc. Each text unit has a unique English ID. Finally, we report the ROUGE scores based on these English IDs. The ROUGE scores reported in this paper can also be obtained by files2rouge $^6$  tool.
http://www.nlpr.ia.ac.cn/cip/software.htm
$^{6}$ https://github.com/pltrdy/files2rouge
Figure 5: Examples of generated En2Zh summaries. The English translation of target-side text is also given for better reading. The blue shading intensity denotes the value of the translating probability  $p_{\mathrm{trans}}$ .
Yane 1321