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Automatic MT Error Analysis: Hjerson Helping Addicter
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In: http://ufal.mff.cuni.cz/~bojar/publications/2012-FILE-addicter_lrec2012-2012-lrec-hjerson-helping-addicter.pdf (2012)
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Investigation into language learners' acquisition order based on the error analysis of the learner corpus
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In: http://dspace.wul.waseda.ac.jp/dspace/bitstream/2065/1396/1/07.pdf (2004)
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Outline of a Theory of Strongly Semantic Information
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In: http://www.wolfson.ox.ac.uk/~floridi/pdf/otssi.pdf (2003)
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Writing Skill and Categorical Error Analysis: A Study of First Year Undergraduate University Students
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In: http://www.sid.ir/en/VEWSSID/J_pdf/5069420140302.pdf
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www.ijllalw.org AN ANALYSIS OF ERRORS IN WRITING AMONG ADULT PERSIAN LEARNERS OF ENGLISH
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In: http://www.ijllalw.org/finalversion5315.pdf
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ANALYSING INTERLANGUAGE ERRORS IN SYNCHRONOUS AND ASYNCHRONOUS COMMUNICATION
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In: http://llt.msu.edu/issues/june2013/macdonaldetal.pdf
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Practicing Correction Codes to Improve English Writing Skills
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In: http://www.arcjournals.org/pdfs/ijsell/v2-i8/2.pdf
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for Writing Classes Based on the Frequency of Error Occurrence
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In: http://www.ijsr.net/archive/v2i8/MDIwMTMyMzQ%3D.pdf
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Error profiling for evaluation of machine-translated text: a Polish-English case study
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/736_Paper.pdf
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Analysis of Grammatical Errors of Utterance Structure
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In: http://www.issr-journals.org/links/papers.php?application%3Dpdf%26article%3DIJIAS-14-297-02%26journal%3Dijias
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Abstract:
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT: The study examined the grammatical errors of Technology student teachers ’ utterance structure. It was conducted to answer two questions: (1) what are the language backgrounds of the Technology student teachers; and (2) what are their common grammatical errors during the on-campus teaching. To address the first question, the participants were personally interviewed for their language profile utilizing the developed and modified interview guide. To address the second question, the participants ’ Technology classes were observed and video recorded for transcription. The findings show that misinformation and omission account for most of the total grammatical errors identified, with addition and ordering of elements being less frequent. It is observed that the student teachers repeatedly use the wrong forms of the words in place of the correct ones. These errors in their utterance structure are the results of the influence of their native language structures to produce a spoken discourse of the English language (L2). It can be noted then that grammatical errors on spoken discourse are different from written discourse as the spontaneous utterances encompass several errors. Data present a Philippine English variety based on the utterances of student teachers which are patterned on the Philippine language structures.
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Keyword:
Error Analysis; Philippine English variety; Technology Student Teachers
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.675.6441 http://www.issr-journals.org/links/papers.php?application%3Dpdf%26article%3DIJIAS-14-297-02%26journal%3Dijias
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Error Analysis for the Improvement of Subject Ellipsis Detection∗ Análisis de Errores para Mejorar la Detección de Elipsis de Sujeto
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In: https://rua.ua.es/dspace/bitstream/10045/18542/1/PLN_47_24.pdf
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