# Creating a Parallel Corpus for the Kazakh Sign Language and Learning
## 3 Materials and Methods
### Analysis of the Word Order in the KSL
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Topic** & \multicolumn{2}{c}{**Count Sentence**} & **\%** \\ \hline Reversible & SOV & 29 & 44.61 \\ \hline  & SVO & 35 & 53.85 \\ \hline  & OSV & 1 & 1.54 \\ \hline  & Total & 65 & 100 \\ \hline Nonreversible & SOV & 37 & 37.75 \\ \hline  & SVO & 44 & 44.90 \\ \hline  & VO & 17 & 17.35 \\ \hline  & Total & 98 & 100 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Sentence Order Distribution in Reversible and Nonreversible Situations. Thus, the SVO order is dominant in both categories, though it is more pronounced in reversible contexts. In nonreversible situations, the presence of SOV and VO orders becomes more significant. The analysis of 93 locative sentences (see Table 2) revealed the following word order patterns:  
The object-verb (OV) order appears in 2 sentences, making up 2.15% of the total. The subject-object-verb (SOV) order is observed in 25 sentences, accounting for 26.88%. The most common structure is subject-verb-object (SVO), found in 41 sentences, representing 44.09%. The object-subject-verb (OSV) order also occurs in 25 sentences, comprising 26.88%. These findings suggest that while SVO is the most frequently used structure, the SOV and OSV orders are equally significant in locative sentences. The analysis of 199 sentences (Table 3), categorized based on animacy, revealed the following patterns:  
In sentences with animate objects, the preferred word order is object-verb (OV), found in 56 sentences (53.33%). However, the verb-object (VO) order is also common, appearing in 49 sentences (46.67%), indicating a relatively balanced distribution between the two structures. In sentences with inanimate objects, the OV order is clearly dominant, occurring in 70 sentences (74.47%), while the VO order is significantly less frequent, found in only 24 sentences (25.53%). These findings suggest that for inanimate objects, the OV order is strongly preferred, whereas for animate objects, both OV and VO orders are used with nearly equal frequency. The analysis of 47 sentences (Table 4), categorized based on the heaviness of the object, revealed the following patterns: \begin{table}
\begin{tabular}{c c c} \hline \hline
**Topic** & **Count Sentence** & **\%** \\ \hline Locative & OV & 2 & 2.15 \\ \hline SOV & 25 & 26.88 \\ \hline SVO & 41 & 44.09 \\ \hline OSV & 25 & 26.88 \\ \hline Total & 93 & 100 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Sentence Order Distribution in Locative Constructions. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Topic** & **Count Sentence** & **\%** \\ \hline Animate & OV & 56 & 53.33 \\ \hline VO & 49 & 46.67 \\ \hline  & Total & 105 & 100 \\ \hline Inanimate & OV & 70 & 74.47 \\ \hline  & VO & 24 & 25.53 \\ \hline  & Total & 94 & 100 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Sentence Order Distribution Based on Animacy (Animate and Inanimate Objects). For heavy objects, the object-verb (OV) order is the preferred structure, occurring in 30 sentences (76.92%). The verb-object (VO) order is less frequent, appearing in only 9 sentences (23.08%). In sentences with non-heavy objects, the OV order remains dominant, observed in 7 sentences (87.5%), while the VO order is recorded in just 1 sentence (12.5%). These findings indicate that the OV order is consistently preferred, regardless of the object's heaviness, with an even stronger preference for non-heavy objects. Following these observed patterns and structural rules, we developed a parallel corpus that aligns Kazakh text with its corresponding representation in KSL. This corpus was designed to accurately reflect the syntactic and grammatical variations identified in our analysis, ensuring a reliable foundation for further research in sign language processing and machine translation.