# Empirical Analysis of Parallel Corpora and In-Depth Analysis Using LIWC
## 3 Analyzing the AI Hub Corpus Using LIWC
### Linguistic Inquiry and Word Count (LIWC)
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & \multicolumn{4}{c}{**KR-En Domain-Specialized Parallel Corp**} & \multicolumn{2}{c}{**KR-En Parallel Corpus**} \\ \hline
**Categories** & **Features** & **Train** & **Valid** & **Total** & **Total** \\ \hline \multirow{6}{*}{affective process} & affect & 3.78 & 3.75 & 3.77 & 4.03 \\  & **posemo** & **2.49** & **2.48** & **2.49** & **2.75** \\  & negemo & 1.24 & 1.23 & 1.24 & 1.23 \\  & anx & 0.17 & 0.17 & 0.17 & 0.19 \\  & anger & 0.21 & 0.2 & 0.21 & 0.29 \\  & sad & 0.3 & 0.3 & 0.3 & 0.28 \\ \hline \multirow{6}{*}{social process} & social & 5.07 & 5.04 & 5.06 & 6.7 \\  & family & 0.23 & 0.23 & 0.23 & 0.25 \\  & friend & 0.12 & 0.12 & 0.12 & 0.15 \\  & female & 0.18 & 0.17 & 0.18 & 0.34 \\  & **male** & **0.46** & **0.47** & **0.46** & **0.63** \\ \hline \multirow{6}{*}{cognitive process} & **cogproc** & **6.75** & **6.73** & **6.74** & **7.48** \\  & insight & 1.56 & 1.56 & 1.56 & 1.75 \\  & cause & 1.69 & 1.68 & 1.69 & 1.73 \\  & discrep & 0.77 & 0.77 & 0.77 & 0.99 \\  & tentat & 1.14 & 1.14 & 1.14 & 1.41 \\  & certain & 0.65 & 0.65 & 0.65 & 0.7 \\  & differ & 1.92 & 1.91 & 1.92 & 1.96 \\ \hline \multirow{6}{*}{perceptual process} & **percept** & **1.53** & **1.53** & **1.53** & **1.82** \\  & see & 0.58 & 0.58 & 0.58 & 0.68 \\  & hear & 0.48 & 0.48 & 0.48 & 0.65 \\  & feel & 0.32 & 0.32 & 0.32 & 0.35 \\ \hline \multirow{6}{*}{Biological process} & **bio** & **2.31** & **2.31** & **2.31** & **1.63** \\  & body & 0.46 & 0.46 & 0.46 & 0.46 \\  & health & 1.35 & 1.36 & 1.35 & 0.67 \\  & sexual & 0.04 & 0.04 & 0.04 & 0.05 \\  & ingest & 0.51 & 0.51 & 0.51 & 0.46 \\ \hline \multirow{6}{*}{drives} & **drives** & **7.39** & **7.4** & **7.4** & **8.26** \\  & affiliation & 1.52 & 1.52 & 1.52 & 1.77 \\  & achieve & 1.92 & 1.92 & 1.92 & 1.96 \\  & power & 3.33 & 3.33 & 3.33 & 3.94 \\  & reward & 1.02 & 1.02 & 1.02 & 1.05 \\  & risk & 0.79 & 0.78 & 0.79 & 0.63 \\ \hline \multirow{6}{*}{time-orientations} & focuspast & 3.27 & 3.25 & 3.26 & 3.4 \\  & focuspresent & 5.79 & 5.78 & 5.79 & 6.63 \\  & focusfuture & 0.97 & 0.96 & 0.96 & 1.49 \\ \hline \multirow{6}{*}{relativity} & relativ & 14.53 & 14.55 & 14.53 & 14.29 \\  & motion & 1.72 & 1.72 & 1.72 & 1.81 \\  & **space** & **8.31** & **8.32** & **8.31** & **7.83** \\  & time & 4.59 & 4.6 & 4.59 & 4.73 \\ \hline \multirow{6}{*}{personal concerns} & **work** & **5.64** & **5.64** & **5.64** & **6.37** \\  & leisure & 1.52 & 1.52 & 1.52 & 1.43 \\  & home & 0.52 & 0.53 & 0.52 & 0.5 \\  & money & 2.19 & 2.18 & 2.19 & 1.87 \\  & relig & 0.23 & 0.23 & 0.23 & 0.29 \\  & death & 0.14 & 0.14 & 0.14 & 0.14 \\ \hline \multirow{6}{*}{ informal language} & informal & 0.23 & 0.23 & 0.23 & 0.26 \\  & swear & 0 & 0 & 0 & 0.01 \\  & netspeak & 0.1 & 0.11 & 0.1 & 0.1 \\  & assent & 0.06 & 0.06 & 0.06 & 0.09 \\  & nonflu & 0.08 & 0.08 & 0.08 & 0.09 \\  & **filler** & **0** & **0** & **0** & **0** \\ \hline \hline \end{tabular}
\end{table} 
Table 2: _Cont._ \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & & \multicolumn{3}{c}{**KR-En Parallel Corpus (Social Science)**} & \multicolumn{3}{c}{**KR-En Parallel Corpus (Technology)**} \\ \hline
**Categories** & **Features** & **Train** & **Valid** & **Total** & **Train** & **Valid** & **Total** \\ \hline \multirow{6}{*}{punctuations} & AllPunc & 14.72 & 14.72 & 14.72 & 14.72 & 14.68 \\  & Period & 3.81 & 3.81 & 3.81 & 4.33 \\  & Comma & 6.23 & 6.23 & 6.23 & 5.24 \\  & **Colon** & **0.03** & **0.03** & **0.03** & **0.08** \\  & SemiC & 0.01 & 0.01 & 0.01 & 0.01 \\  & QMark & 0.01 & 0.01 & 0.01 & 0.22 \\  & Exclam & 0 & 0 & 0 & 0 \\  & Dash & 1.88 & 1.89 & 1.89 & 1.6 \\  & Quote & 1.11 & 1.1 & 1.11 & 1.16 \\  & Apostro & 0.85 & 0.85 & 0.85 & 1.11 \\  & Parenth & 0.56 & 0.57 & 0.56 & 0.7 \\  & OtherP & 0.22 & 0.23 & 0.22 & 0.23 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: _Cont._