On Grammaticality in the Syntactic Annotation of Learner Language

2015 ◽  
Author(s):  
Markus Dickinson ◽  
Marwa Ragheb
Keyword(s):  
Syntactic Annotation ◽  
Learner Language

scholarly journals Dependency parsing of learner English

2018 ◽  
Vol 23 (1) ◽  
pp. 28-54 ◽  
Author(s):  
Yan Huang ◽  
Akira Murakami ◽  
Theodora Alexopoulou ◽  
Anna Korhonen
Keyword(s):  
Gold Standard ◽  
Large Scale ◽  
Native Language ◽  
Dependency Parsing ◽  
Annotation Method ◽  
Learner Corpora ◽  
Language Data ◽  
The Common ◽  
Syntactic Annotation ◽  
Learner Language

Abstract Current syntactic annotation of large-scale learner corpora mainly resorts to “standard parsers” trained on native language data. Understanding how these parsers perform on learner data is important for downstream research and application related to learner language. This study evaluates the performance of multiple standard probabilistic parsers on learner English. Our contributions are three-fold. Firstly, we demonstrate that the common practice of constructing a gold standard – by manually correcting the pre-annotation of a single parser – can introduce bias to parser evaluation. We propose an alternative annotation method which can control for the annotation bias. Secondly, we quantify the influence of learner errors on parsing errors, and identify the learner errors that impact on parsing most. Finally, we compare the performance of the parsers on learner English and native English. Our results have useful implications on how to select a standard parser for learner English.

Book Review: Analysing Learner Language

RELC Journal ◽  
2006 ◽  
Vol 37 (1) ◽  
pp. 140-141
Author(s):  
Lawrence Jun Zhang
Keyword(s):  
Learner Language

scholarly journals AN ERROR ANALYSIS OF ARGUMENTATIVE ESSAY (CASE STUDY AT UNIVERSITY MUHAMMADIYAH OF METRO)

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Fenny - Thresia
Keyword(s):  
Data Analysis ◽  
Error Analysis ◽  
English Writing ◽  
The Third ◽  
The Subject ◽  
The Common ◽  
Learner Language

The purpose of this study was study analyze the students’ error in writing argumentative essay. The researcher focuses on errors of verb, concord and learner language. This study took 20 students as the subject of research from the third semester. The data took from observation and documentation. Based on the result of the data analysis there are some errors still found on the student’s argumentative essay in English writing? The common errors which repeatedly appear are verb. The second is concord, and learner languages are the smallest error. From 20 samples that took, the frequency the errors of verb are 12 items (60%), concord are 8 items (40%), learner languages are 7 items (35%). As a result, verb has the biggest number of common errors.

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