# The Role of Transliterated Words in Linking Bilingual News Articles in an Archive
## 3 Similarity Measure Based on Transliteration Words
### Role of Transliteration Words
\begin{table}
\begin{tabular}{l|l l l l l l} \hline \hline  & \multicolumn{3}{c}{**Ranked Results Muzi**} & \multicolumn{3}{c}{**Transliteration Words**} \\ \hline
**Urdu News** & **CRMDL** & **SMTW** &
\begin{tabular}{c} **Results** \\ **Impact** \\ \end{tabular} & **CRMDL** & **SMTW** & **CT Impact** \\ \hline \multirow{4}{*}{ur1} & \multirow{4}{*}{ur2} & \multirow{4}{*}{ur1} & None & 14 & 18 & **\blacktriangle** \\  & & eng10 & & None & 13 & 13 & - \\  & & eng10 & & None & 11 & 13 & **\blacktriangle** \\  & & eng7 & & - & 18 & 20 & **\blacktriangle** \\  & & eng4 & & - & 4 & 6 & **\blacktriangle** \\ \hline \multirow{4}{*}{ur2} & \multirow{4}{*}{ur2} & None & 18 & 37 & **\blacktriangle** \\  & & eng6 & & None & 11 & 11 & - \\  & & eng8 & & None & 12 & 12 & **\blacktriangle** \\  & & eng5 & & - & 9 & 9 & - \\  & eng3 & & - & 9 & 9 & - \\ \hline ur3 & \multirow{4}{*}{ur4} & \multirow{4}{*}{eng4} & None & 25 & 25 & - \\  & & eng4 & & - & 12 & 12 & - \\ \hline \multirow{4}{*}{ur5} & \multirow{4}{*}{ur6} & None & 26 & 41 & **\blacktriangle** \\  & & eng7 & & - & 15 & 15 & **-** \\ \hline \multirow{4}{*}{ur6} & \multirow{4}{*}{ur2} & None & 21 & 37 & **\blacktriangle** \\  & & eng1 & & - & 11 & 16 & **\blacktriangle** \\ \hline \multirow{4}{*}{ur7} & \multirow{4}{*}{ur5} & None & 18 & 41 & **\blacktriangle** \\  & & eng2 & & None & 8 & 15 & **\blacktriangle** \\  & & eng1 & & - & 6 & 16 & **\blacktriangle** \\  & & eng7 & & - & 17 & 8 & **\blacktriangle** \\  & & eng8 & & - & 7 & 23 & **\blacktriangle** \\  & & eng8 & & - & Dropped & 4 & 9 & **\blacktriangle** \\ \hline \multirow{4}{*}{ur7} & \multirow{4}{*}{ur9} & None & None & 52 & 98 & **\blacktriangle** \\  & & eng1 & & - & 31 & 55 & **\blacktriangle** \\  & & eng10 & & - & 28 & 52 & **\blacktriangle** \\  & & eng3 & & - & 19 & 31 & **\blacktriangle** \\  & & eng6 & & - & 17 & 24 & **\blacktriangle** \\ \hline \multirow{4}{*}{ur8} & \multirow{4}{*}{ur8} & None & 22 & 38 & **\blacktriangle** \\  & & eng3 & & Improved & 8 & 19 & **\blacktriangle** \\  & & eng4 & & - & 8 & 12 & **\blacktriangle** \\  & & eng1 & & - & 4 & 13 & **\blacktriangle** \\  & & eng2 & & - & 4 & 8 & **\blacktriangle** \\ \hline \multirow{4}{*}{ur9} & \multirow{4}{*}{ur9} & \multirow{4}{*}{ur2} & None & 21 & 38 & **\blacktriangle** \\  & & eng2 & & None & 10 & 49 & **\blacktriangle** \\  & & eng5 & & - & 4 & 15 & **\blacktriangle** \\ \hline \multirow{4}{*}{ur10} & \multirow{4}{*}{ur11} & \multirow{4}{*}{ur6} & None & 20 & 24 & **\blacktriangle** \\  & & eng6 & & None & 20 & 24 & **\blacktriangle** \\  & & eng6 & & None & 13 & 17 & **\blacktriangle** \\ \cline{1-1}  & & eng7 & & - & 21 & 33 & **\blacktriangle** \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Improved Results by SMTW Approach in 20 News Articles Set

\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & \multicolumn{4}{c}{**Ranked Results**} & \multicolumn{4}{c}{**Transliteration Words**} \\ \hline
**Eng** & **CRMDL** & **SMTW** & **Results** & **CRMDL** & **SMTW** & **CT** \\
**News** & **Rank** & **Rank** & **Impact** & **CT** & **CT** & **CT** & **Impact** \\ \hline UrNews & \(\
icefrac{{\psi_{\pi}\psi_{\pi}\psi_{\pi}\psi_{\pi}\psi_{\pi}\psi_{\pi}\psi_{\pi} \psi_{\pi}\psi_{\pi}\psi_{\



## 5 Conclusions and Future Work

The digital news preservation and management of low-resource languages are challenging tasks, especially for vast collections. The unique identification of individual digital objects is possible with well-defined attributes to assure efficient management, such as access, retrieval, preservation, usability, and transformability. The SMTW was introduced to utilize the transliteration words used in Urdu script for linking news articles during preservation to make it part of the metadata to manipulate and avoid run-time computation overhead. The proposed technique uses an Urdu-to-English lexicon for preprocessing enriched transliteration words. The analysis showed that about 9.5% of the transliteration words were contained in an Urdu script, thereby affecting the similarity value among news articles.