Neural (Stoken and Stype) logography measures computed on the Bible corpora using fully convolutional architecture (denoted G). Attention combination strategies: Averaging (A), choosing maximum (M), top layer (T), bottom layer (B), and multiplying (J).
Language . | GA . | GM . | GT . | GB . | GJ . | Acc. . | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
. | . | . | . | . | . | . | . | . | . | ||
Chinese | 0.63 | 0.63 | 0.63 | 0.63 | 0.59 | 0.60 | 0.67 | 0.67 | 0.73 | 0.73 | 0.89 |
Chinese (Cangjie) | 0.42 | 0.41 | 0.42 | 0.41 | 0.47 | 0.50 | 0.37 | 0.31 | 0.49 | 0.47 | 0.93 |
Chinese (tok.) | 0.54 | 0.36 | 0.54 | 0.36 | 0.39 | 0.26 | 0.69 | 0.46 | 0.99 | 0.98 | 0.91 |
Chinese (tok., Cangjie) | 0.39 | 0.31 | 0.40 | 0.31 | 0.47 | 0.35 | 0.31 | 0.26 | 0.29 | 0.20 | 0.92 |
English | 0.30 | 0.21 | 0.30 | 0.22 | 0.38 | 0.27 | 0.21 | 0.16 | 0.32 | 0.23 | 0.99 |
Finnish | 0.29 | 0.20 | 0.30 | 0.21 | 0.28 | 0.18 | 0.31 | 0.22 | 0.27 | 0.18 | 0.99 |
French | 0.49 | 0.29 | 0.49 | 0.30 | 0.45 | 0.27 | 0.52 | 0.31 | 0.38 | 0.21 | 0.94 |
Hebrew (Biblical) | 0.44 | 0.35 | 0.45 | 0.36 | 0.44 | 0.34 | 0.45 | 0.36 | 0.43 | 0.33 | 0.96 |
Hebrew (Modern) | 0.41 | 0.31 | 0.41 | 0.32 | 0.43 | 0.33 | 0.38 | 0.30 | 0.41 | 0.30 | 0.93 |
Japanese | 0.75 | 0.56 | 0.75 | 0.56 | 0.91 | 0.67 | 0.59 | 0.44 | 0.97 | 0.87 | 0.94 |
Japanese (Cangjie) | 0.55 | 0.37 | 0.55 | 0.37 | 0.75 | 0.43 | 0.35 | 0.30 | 0.57 | 0.35 | 0.96 |
Korean (jamo) | 0.24 | 0.19 | 0.25 | 0.20 | 0.28 | 0.22 | 0.19 | 0.16 | 0.20 | 0.16 | 0.99 |
Russian | 0.34 | 0.23 | 0.35 | 0.24 | 0.39 | 0.25 | 0.29 | 0.22 | 0.38 | 0.24 | 0.93 |
Swedish | 0.41 | 0.31 | 0.41 | 0.32 | 0.39 | 0.22 | 0.43 | 0.40 | 0.34 | 0.18 | 0.92 |
Language . | GA . | GM . | GT . | GB . | GJ . | Acc. . | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
. | . | . | . | . | . | . | . | . | . | ||
Chinese | 0.63 | 0.63 | 0.63 | 0.63 | 0.59 | 0.60 | 0.67 | 0.67 | 0.73 | 0.73 | 0.89 |
Chinese (Cangjie) | 0.42 | 0.41 | 0.42 | 0.41 | 0.47 | 0.50 | 0.37 | 0.31 | 0.49 | 0.47 | 0.93 |
Chinese (tok.) | 0.54 | 0.36 | 0.54 | 0.36 | 0.39 | 0.26 | 0.69 | 0.46 | 0.99 | 0.98 | 0.91 |
Chinese (tok., Cangjie) | 0.39 | 0.31 | 0.40 | 0.31 | 0.47 | 0.35 | 0.31 | 0.26 | 0.29 | 0.20 | 0.92 |
English | 0.30 | 0.21 | 0.30 | 0.22 | 0.38 | 0.27 | 0.21 | 0.16 | 0.32 | 0.23 | 0.99 |
Finnish | 0.29 | 0.20 | 0.30 | 0.21 | 0.28 | 0.18 | 0.31 | 0.22 | 0.27 | 0.18 | 0.99 |
French | 0.49 | 0.29 | 0.49 | 0.30 | 0.45 | 0.27 | 0.52 | 0.31 | 0.38 | 0.21 | 0.94 |
Hebrew (Biblical) | 0.44 | 0.35 | 0.45 | 0.36 | 0.44 | 0.34 | 0.45 | 0.36 | 0.43 | 0.33 | 0.96 |
Hebrew (Modern) | 0.41 | 0.31 | 0.41 | 0.32 | 0.43 | 0.33 | 0.38 | 0.30 | 0.41 | 0.30 | 0.93 |
Japanese | 0.75 | 0.56 | 0.75 | 0.56 | 0.91 | 0.67 | 0.59 | 0.44 | 0.97 | 0.87 | 0.94 |
Japanese (Cangjie) | 0.55 | 0.37 | 0.55 | 0.37 | 0.75 | 0.43 | 0.35 | 0.30 | 0.57 | 0.35 | 0.96 |
Korean (jamo) | 0.24 | 0.19 | 0.25 | 0.20 | 0.28 | 0.22 | 0.19 | 0.16 | 0.20 | 0.16 | 0.99 |
Russian | 0.34 | 0.23 | 0.35 | 0.24 | 0.39 | 0.25 | 0.29 | 0.22 | 0.38 | 0.24 | 0.93 |
Swedish | 0.41 | 0.31 | 0.41 | 0.32 | 0.39 | 0.22 | 0.43 | 0.40 | 0.34 | 0.18 | 0.92 |