The crosslinguistic differences in the predictive power of surprisal can be influenced by a variety of linguistic features beyond mere language family classification. For instance, syntactic structure plays a crucial role; languages with different word orders (e.g., SVO in English versus SOV in Turkish) may exhibit varying degrees of predictability based on their syntactic configurations. This can affect how readers anticipate upcoming words, thereby influencing reading times. Additionally, morphological complexity, such as the presence of extensive case marking in Finnish versus the relatively impoverished case system in English, can impact the predictability of words in context. Languages that are agglutinative, like Turkish and Korean, may have longer words with more complex structures, which could lead to higher surprisal values and longer reading times. Furthermore, lexical richness and frequency distributions of words within a language can also affect how surprisal correlates with reading times. For example, languages with a high frequency of function words may show different patterns in reading times compared to those with a more varied lexical inventory. Overall, these linguistic features contribute to the nuanced relationship between surprisal and reading times, highlighting the importance of considering a broader range of linguistic characteristics when analyzing crosslinguistic differences.