Titlebook: Automated Grammatical Error Detection for Language Learners; Claudia Leacock,Martin Chodorow,Joel Tetreault Book 2010 Springer Nature Swit

BOLT

inflame

,What’s New in Laser Therapy for Glaucoma,e introduction, we noted that this an exciting area of research because there is the potential for real impact given the vast number of people learning another language and because there is no shortage of interesting problems that need to be solved.

溝通

Springer Nature Switzerland AG 2010

agnostic

maculated

https://doi.org/10.1007/3-540-34773-90) used a corpus of . error-annotated sentences to train a classifier for detection and correction of preposition errors. Gamon (2010) used a fully annotated error corpus to train a meta-classifier which combines evidence from other models that are trained on well-formed data. We will discuss this research in detail in Chapter 6.

abstemious

Mosaic

Language Learner Data,0) used a corpus of . error-annotated sentences to train a classifier for detection and correction of preposition errors. Gamon (2010) used a fully annotated error corpus to train a meta-classifier which combines evidence from other models that are trained on well-formed data. We will discuss this research in detail in Chapter 6.

貨物

天空

Visualizing Astrocytes of the Optic Nerve,o rules exist, or where they are influenced by the grammar of their native language. We describe, in detail, what a language learner (human or machine) must master in order to use articles, prepositions and collocations. We believe this is necessary background for any NLP research in detecting these errors.

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