We extend the n-gram-based data-driven prediction approach (Elghafari, Meurers and Wunsch, 2010) to identify function word errors in non-native academic texts as part of the Helping Our Own (HOO) Shared Task. We focus on substitution errors for four categories: prepositions, determiners, conjunctions, and quantifiers. These error types make up 12% of the errors annotated in the HOO training dat...

Structures and electronic states of the HOO radical interacting with water molecules, expressed by HOO(H2O)n (n = 1 and 2), have been investigated by means of a direct ab initio molecular dynamics (MD) method. From the static ab initio calculation of HOO-H2O complex, two types of HOO radical were found: i.e., the HOO radical acts as a hydrogen donor or acceptor in the complex (n = 1). The bindi...

We extend our n-gram-based data-driven prediction approach from the Helping Our Own (HOO) 2011 Shared Task (Boyd and Meurers, 2011) to identify determiner and preposition errors in non-native English essays from the Cambridge Learner Corpus FCE Dataset (Yannakoudakis et al., 2011) as part of the HOO 2012 Shared Task. Our system focuses on three error categories: missing determiner, incorrect de...

This paper reports about our work in the HOO shared task 2011. The task is to automatically correct the English of a given document. For that, we have developed a hybrid system of a statistical CRF based model along with a rule-based technique has been used. The system has been trained on the HOO shared task training datasets and run on the test set given by the organizer of HOO. We have submit...

Systems for text retrieval, routing, categorization and other IR tasks rely heavily on linear classiiers. We propose that two machine learning algorithms, the Widrow-Hoo and EG algorithms, be used in training linear text classiiers. In contrast to most IR methods, theoretical analysis provides performance guarantees and guidance on parameter settings for these algorithms. Experimental data is p...

We extend our n-gram-based data-driven prediction approach from the Helping Our Own (HOO) 2011 Shared Task (Boyd and Meurers, 2011) to identify determiner and preposition errors in non-native English essays from the Cambridge Learner Corpus FCE Dataset (Yannakoudakis et al., 2011) as part of the HOO 2012 Shared Task. Our system focuses on three error categories: missing determiner, incorrect de...

A recent re-examination of finds from Soviet-era excavations in Dzhetyasar, Kazakhstan, has identified the remains two wooden objects as stringed instruments. Dating to fourth century AD, one bears a strikingly close resemblance lyre Western Europe, including instrument Mound 1 at Sutton Hoo: Hoo lyre.