Predicting Native Language from Gaze
Table 2: Native Language Identification from Reading results with 10-fold cross-validation for native speakers of Chinese, Japanese, Portuguese and Spanish. In the Shared regime all the participants read the same 78 sentences. In the Individual regime each participant reads a different set of 78 sentences.
['[BOLD] Majority Class', '[BOLD] Shared Sentences Regime 25.52', '[BOLD] Shared Sentences Regime 25.52', '[BOLD] Shared Sentences Regime 25.52', '[BOLD] Individual Sentences Regime 25.52', '[BOLD] Individual Sentences Regime 25.52', '[BOLD] Individual Sentences Regime 25.52']
We introduce two baselines against which we compare the performance of our feature-sets. The majority baseline selects the native language with the largest number of participants. The random clusters baseline clusters words into groups randomly, with the number of groups set to the number of syntactic categories in our data.