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Automated methods for identifying whether sentences are grammatical have various potential applications (e.g., machine translation, automated essay scoring, computer-assisted language learning). In this work, we construct a statistical model of grammaticality using various linguistic features (e.g., misspelling counts, parser outputs, n-gram language model(More)
Can natural language processing be used to predict the likelihood that a musician will commit or has committed suicide? In order to explore this idea, we built a corpus of songs that includes a development set, a training set, and a test set, all consisting of different lyricists. Various vocabulary and syntactic features were then calculated in order to(More)
Body language plays an important role in learning processes and communication. For example, communication research produced evidence that mathematical knowledge can be embodied in gestures made by teachers and students. Likewise, body postures and gestures are also utilized by speakers in oral presentations to convey ideas and important messages.(More)
The integration of subject matter learning with reading and writing skills takes place in multiple ways. Students learn to read, interpret, and write texts in the discipline-relevant genres. However, writing can be used not only for the purposes of practice in professional communication, but also as an opportunity to reflect on the learned material. In this(More)
We present, to our knowledge, the first experiments on using NLP to measure the extent to which a writing sample expresses the writer's utility value from studying a STEM subject. Studies in social psychology have shown that a writing intervention where a STEM student is asked to reflect on the value of the STEM subject in their personal and social life is(More)
In this paper, we compare ASR and human transcriptions of non-native speech to investigate to what extent the accuracy and the patterns of errors of a modern ASR system match those of human listeners in the context of automated assessment of L2 English language proficiency. We obtained multiple naïve transcriptions of short fragments of non-native(More)
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