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A Classifier Based Approach to Preposition and Determiner Error Correction in L2 English
... feature based approach to the automatic acquisition of models of use for prepositions and determiners, which achieve an accuracy of ...an error correction task for L2 writing, with ... See full document
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KU Leuven at HOO 2012: A Hybrid Approach to Detection and Correction of Determiner and Preposition Errors in Non native English Text
... With respect to determiners, missing determiners are handled best by our system, while unnecessary determiners and replacement errors are more diffi- cult. Concerning prepositions, missing prepositions are found to be ... See full document
9
Memory based text correction for preposition and determiner errors
... fast approximations of memory-based discrimina- tive classifiers are effective and efficient modules for spelling correction, particularly because of their in- sensitivity to the number of classes to be ... See full document
6
Korea University System in the HOO 2012 Shared Task
... non-native English writers consists of missing prepositions/determiners ...special classifier for inser- ...particular classifier is any whitespace before or after a word in a noun or verb phrase ... See full document
6
UM Checker: A Hybrid System for English Grammatical Error Correction
... cal Error Detection and Correction system for the CoNLL 2013 shared task, with a focus on the errors of article or determiner (ArtOrDet), noun number (Nn), preposition (Prep), verb form ... See full document
9
A Naive Bayes classifier for automatic correction of preposition and determiner errors in ESL text
... Bayes-based classifier was used in the task which involved error detection and correction in ESL exam ...features based on the external Google N- Grams ...task based on F-score ... See full document
6
Correcting Preposition Errors in Learner English Using Error Case Frames and Feedback Messages
... Grammatical error correction has been inten- sively studied in recent ...2011), preposition (Chodorow et ...major approach is to use a language model (LM) for predicting correct words or ... See full document
11
Memory based Grammatical Error Correction
... grammar correction system based on five memory-based classifiers implementing eight different error ...The error correctors make use of information from a lemmatizer and a noun and verb ... See full document
7
The UI System in the HOO 2012 Shared Task on Error Correction
... the determiner and the preposition systems apply the method proposed in our earlier work, which uses the error distribution of the learner data to generate artificial errors in training ...earlier ... See full document
9
Detection and Correction of Preposition and Determiner Errors in English: HOO 2012
... 4.1 Preposition Error Detection ...for Preposition An n-gram based linear statistical model is ...of error with different inflected ...The preposition with same word varies with ... See full document
7
Informing Determiner and Preposition Error Correction with Hierarchical Word Clustering
... surface-based approach to be competitive with published state-of-the-art machine learning ap- proaches using complex feature sets (Gamon et ...a preposition in a slot (choose of ) and her system ... See full document
8
VTEX Determiner and Preposition Correction System for the HOO 2012 Shared Task
... in English language use for non-native speakers, especially those living in a non-English speaking environ- ...this error correction topic was chosen for the HOO 2012 Shared ...correct ... See full document
8
A Meta Learning Approach to Grammatical Error Correction
... novel approach to grammatical error correction by building a meta-classifier using multiple GE tagged corpora with different characteristics in various ...base classifier themselves ... See full document
5
Constrained Grammatical Error Correction using Statistical Machine Translation
... Nitin Madnani, Joel Tetreault, and Martin Chodorow. 2012. Exploring grammatical error correction with not-so-crummy machine translation. In Proceedings of the Seventh Workshop on Building Educational ... See full document
10
Forecasting the price of gold: An error correction approach
... to be normally distributed and independent. Hence an acceptance of the null would imply that our estimates are robust. We carry out the test for the estimated error term from all the equations of the VECM. For all ... See full document
15
Translation Assistance by Translation of L1 Fragments in an L2 Context
... plements k-nearest neighbour classification. The choice for this algorithm is motivated by the fact that it handles multiple classes with ease, but first and foremost because it has been successfully em- ployed for word ... See full document
10
A heuristic based approach for systematic error correction of gaze data for reading
... In eye-tracking research, temporally constant deviations between users’ intended gaze location and location captured by eye-samplers are referred to as systematic error. Systematic errors are frequent and add a ... See full document
10
The Efficacy of Corrective Feedback on L2 Writings of EFL Students
... of error correction. However, both teachers and L2 students are able to benefit from written errors with the help of corrective feedback ...learner error of language ...and correction ... See full document
11
Determiner Primes as Facilitators of Lexical Retrieval in English
... There is an alternative explanation for the observed effects which is based on frequency of co-occurrence of the determiner and noun pairs. The determiners we used were matched for individual word factors ... See full document
22
The Relationship between Education Expenditure and Economic Growth in Turkey: Bounds Testing Approach
... Neo-classical approach, economic growth is expressed with the human capital factor included in model and the role of human capital is highlighted in the process of income differences between countries and ... See full document
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