title: Correcting English text using PPM models

authors: Teahan, W.J.

subjects: computer science

abstract: An essential component of many applications in natural language processing is a language modeler able to correct errors in the text being processed. For optical character recognition (OCR), poor scanning quality or extraneous pixels in the image may cause one or more characters to be mis-recognized; while for spelling correction, two characters may be transposed, or a character may be inadvertently inserted or missed out. 
This paper describes a method for correcting English text using a PPM model. A method that segments words in English text is introduced and is shown to be a significant improvement over previously used methods. A similar technique is also applied as a post-processing stage after pages have been recognized by a state-of-the-art commercial OCR system. We show that the accuracy of the OCR system can be increased from 95.9% to 96.6%, a decrease of about 10 errors per page.

text: Correcting English text using PPM models An essential component of many applications in natural language processing is a language modeler able to correct errors in the text being processed. For optical character recognition (OCR), poor scanning quality or extraneous pixels in the image may cause one or more characters to be mis-recognized; while for spelling correction, two characters may be transposed, or a character may be inadvertently inserted or missed out. 
This paper describes a method for correcting English text using a PPM model. A method that segments words in English text is introduced and is shown to be a significant improvement over previously used methods. A similar technique is also applied as a post-processing stage after pages have been recognized by a state-of-the-art commercial OCR system. We show that the accuracy of the OCR system can be increased from 95.9% to 96.6%, a decrease of about 10 errors per page.

year: 1997-11

title: The impacts of the COVID-19 pandemic on higher education students in New Zealand

authors: Cameron, Michael Patrick

subjects: COVID-19; lockdown; higher education; disruption; New Zealand

abstract: The coronavirus pandemic and associated move to online learning for students in higher education has been disruptive and challenging. We report on the New Zealand arm of an international survey of higher education students (n = 147). Using quantitative and qualitative data from the survey, we find that students coped reasonably well with the disruption to their studies and were generally satisfied with how their lecturers and institutions responded to unanticipated lockdowns. In comparison with the global sample, New Zealand students demonstrated a higher level of satisfaction. New Zealand students reported the highest satisfaction with recorded video lectures, whereas the global sample preferred real-time teaching. Many New Zealand students felt that their studies were negatively affected, and vulnerable groups such as students with low financial resources were the most severely affected. Moreover, students reported a range of negative emotions during lockdown that suggest mental health impacts may be a concern. Our results indicatethat clear communication from authorities, reducing the uncertainty for students, and ensuring that vulnerable groups are appropriately supported, may be the best avenues to reduce negative impacts on students during future significant disruptions to study, whether pandemic-related or otherwise

text: The impacts of the COVID-19 pandemic on higher education students in New Zealand The coronavirus pandemic and associated move to online learning for students in higher education has been disruptive and challenging. We report on the New Zealand arm of an international survey of higher education students (n = 147). Using quantitative and qualitative data from the survey, we find that students coped reasonably well with the disruption to their studies and were generally satisfied with how their lecturers and institutions responded to unanticipated lockdowns. In comparison with the global sample, New Zealand students demonstrated a higher level of satisfaction. New Zealand students reported the highest satisfaction with recorded video lectures, whereas the global sample preferred real-time teaching. Many New Zealand students felt that their studies were negatively affected, and vulnerable groups such as students with low financial resources were the most severely affected. Moreover, students reported a range of negative emotions during lockdown that suggest mental health impacts may be a concern. Our results indicatethat clear communication from authorities, reducing the uncertainty for students, and ensuring that vulnerable groups are appropriately supported, may be the best avenues to reduce negative impacts on students during future significant disruptions to study, whether pandemic-related or otherwise

year: 2022

title: Weaving the mat of Māori and Pacific learner success

authors: Tiakiwai, Sarah-Jane

subjects: Supporting learners, Pacific learner success, Māori learner success, higher education

abstract: The mat we are trying to weave at the University of Waikato to address educational outcomes, disparities and inequities in education for Māori and Pacific learners will weave rich data, stories and experience. Our goal is to use data to be better informed about what works for Māori and Pacific learners and what does not. Data is useful in building a more complete picture of what is happening to students, but student voice and previous research that has already captured the voices of Māori and Pacific experts, educators, students, families and communities can tell us more about why we are getting these outcomes. As we harness data to improve our knowledge, we must not forget the stories already in the mat and the stories being woven in the mat, for the stories are the gold.

This report details our work on this data-informed rather than data-driven project. It discusses how improved data and data analytic capability enhanced our understanding of the literature on Māori and Pacific learner success and the experience of Māori and Pacific learners at UoW. Our research and the report, however, also unapologetically privilege case studies through literature and Māori and Pacific student voices. We lay out the various materials – data, literature and voice – that will form our mat with this in mind, weaving them together in order to achieve better outcomes for Māori and Pacific learners at our university. These learners are the why of this mahi. Their success will create a beautiful pattern in the
weave.

text: Weaving the mat of Māori and Pacific learner success The mat we are trying to weave at the University of Waikato to address educational outcomes, disparities and inequities in education for Māori and Pacific learners will weave rich data, stories and experience. Our goal is to use data to be better informed about what works for Māori and Pacific learners and what does not. Data is useful in building a more complete picture of what is happening to students, but student voice and previous research that has already captured the voices of Māori and Pacific experts, educators, students, families and communities can tell us more about why we are getting these outcomes. As we harness data to improve our knowledge, we must not forget the stories already in the mat and the stories being woven in the mat, for the stories are the gold.

This report details our work on this data-informed rather than data-driven project. It discusses how improved data and data analytic capability enhanced our understanding of the literature on Māori and Pacific learner success and the experience of Māori and Pacific learners at UoW. Our research and the report, however, also unapologetically privilege case studies through literature and Māori and Pacific student voices. We lay out the various materials – data, literature and voice – that will form our mat with this in mind, weaving them together in order to achieve better outcomes for Māori and Pacific learners at our university. These learners are the why of this mahi. Their success will create a beautiful pattern in the
weave.

year: 2022-06