## 4 Dataset Annotation
### Intent Annotated Dataset Statistics  
This section describes the detailed statistics of the intent annotated Urdu web queries dataset with respect to frequency, query length and domain coverage. The frequency distribution of the three intents in the Urdu web queries dataset is presented in Table 4. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Sr. No.** & **Intent** & **Frequency** & **Coverage** \\ \hline
1. & INFO & 6495 & 76.25\% \\
2. & NAV & 845 & 9.92\% \\
3. & TRAN & 1178 & 13.82\% \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Intent distribution in Urdu web queries dataset. Table 4 highlights the percentage coverage of each intent type in the Urdu web queries dataset. The informational queries had the highest frequency in the dataset, forming 76.25% of the total queries. Transactional queries consist of 13.82% of the dataset while navigational queries form 9.92%, respectively. These findings are in conformity with the log analyses of English queries reported in [5; 12; 13], where the informational queries were also in the majority followed by the transactional and navigational queries. Table 5 further presents the query length for each intent type as well as the maximum and minimum query lengths for each intent. The query length was calculated as the total number of terms per query. Queries with an informational intent were the longest, having the highest mean query length, i.e., 4.0, followed by the transactional and navigational queries with 3.7 and 3.2 mean query lengths, respectively. As per Table 5, the maximum length of a query with an informational intent was twice that of a navigational intent. The maximum query length of queries with a transactional intent were significantly smaller than the informational intent queries. The percentage frequency of query intents with respect to the query domains is presented in Table 6.  
As the number of queries in each domain were different, for a comparative analysis across the domains, the percentage frequency of the queries per intent is shown in Table 6. From the table it can be observed that the informational queries were balanced across all domains. Technology-related informational queries were the most frequent (12%), while the travel-related queries were the least frequent (7%). In the transactional queries, the highest number of queries were related to fact-info (20%), followed by geography (19%). Transactional queries related to health and travel were the least frequent, i.e., 1%. The majority of the navigational queries were from the entertainment domain (36%) followed by books (28%), while navigational queries belonging to business and geography were the least frequent (1%). A similar analysis has been reported in [1] for English web queries with informational, transactional and navigational intents. In this study, the predominant domain in the informational queries is health (89.6%), the transactional queries is adult (62.3%) and navigational queries is business (51.9%). In comparison, the Urdu queries showed a different distribution of query intents with respect to the query domains. This might be due to the limitation of the localized web content in Urdu for the respective domains. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Sr. No.** & **Domain** & **Informational (\%)** & **Transactional (\%)** & **Navigational (\%)** \\ \hline
1. & Books & 7\% & 2\% & 28\% \\
2. & Business & 8\% & 15\% & 1\% \\
3. & Entertainment & 9\% & 10\% & 36\% \\
4. & Health & 9\% & 1\% & 5\% \\
5. & Travel & 7\% & 1\% & 2\% \\
6. & Technology & 12\% & 9\% & 2\% \\
7. & News & 10\% & 7\% & 7\% \\
8. & Fact-Info & 8\% & 20\% & 4\% \\
9. & Shopping & 10\% & 7\% & 4\% \\
10. & Geography & 11\% & 19\% & 1\% \\
11. & Sports & 10\% & 8\% & 9\% \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Percentage intent distribution with respect to query domains.