title: Letter to the Editor Re “Fractional Modeling and SOC Estimation of Lithium-ion Battery”

authors: Scott, Jonathan B.

abstract: Presents letters to the editor for this issue of the publication.

text: Letter to the Editor Re “Fractional Modeling and SOC Estimation of Lithium-ion Battery” Presents letters to the editor for this issue of the publication.

year: 2018

title: Introduction: Reading Bakhtin educationally

authors: White, Elizabeth Jayne

subjects: Education

abstract: Reading Bakhtin is a literary experience that leaves the reader gasping for air yet wanting more. His ideas are elusive, foreign, and dark, while at the same time alluring, hopeful, and joyous. To read Bakhtin and the work of other members of his circle calls the reader to a place of instability and confusion-not only in reading the seemingly contradictory nature of the text and grappling with translated misunderstandings, but also in grasping the Aesopian style of writing that characterizes his work.

We offer this collection as a starting point to explore and perhaps even exploit some of the ramifications of Bakhtin's dialogic work; and in doing so consider its relevance for educational theory, practice, and policy across the globe. We welcome the potential for dialogical engagement within this collection by educationalists and others, and look forward to the resulting dialogues-pedagogies and policy encounters-this book will, hopefully, invoke.

text: Introduction: Reading Bakhtin educationally Reading Bakhtin is a literary experience that leaves the reader gasping for air yet wanting more. His ideas are elusive, foreign, and dark, while at the same time alluring, hopeful, and joyous. To read Bakhtin and the work of other members of his circle calls the reader to a place of instability and confusion-not only in reading the seemingly contradictory nature of the text and grappling with translated misunderstandings, but also in grasping the Aesopian style of writing that characterizes his work.

We offer this collection as a starting point to explore and perhaps even exploit some of the ramifications of Bakhtin's dialogic work; and in doing so consider its relevance for educational theory, practice, and policy across the globe. We welcome the potential for dialogical engagement within this collection by educationalists and others, and look forward to the resulting dialogues-pedagogies and policy encounters-this book will, hopefully, invoke.

year: 2011

title: A hybrid architecture for labelling bilingual Māori-English tweets

authors: Trye, David

subjects: borrowing

abstract: Most large-scale language detection tools perform poorly at identifying Māori text. Moreover, rule-based and machine learning-based techniques devised specifically for the Māori-English language pair struggle with interlingual homographs. We develop a hybrid architecture that couples Māori-language orthography with machine learning models in order to annotate mixed Māori-English text. This architecture is used to label a new bilingual Twitter corpus at both the token (word) and tweet (sentence) levels. We use the collected tweets to show that the hybrid approach outperforms existing systems with respect to language detection of interlingual homographs and overall accuracy. We also evaluate its performance on out-of-domain data. Two interactive visualisations are provided for exploring the Twitter corpus and comparing errors across the new and existing techniques. The architecture code and visualisations are available online, and the corpus is available on request.

text: A hybrid architecture for labelling bilingual Māori-English tweets Most large-scale language detection tools perform poorly at identifying Māori text. Moreover, rule-based and machine learning-based techniques devised specifically for the Māori-English language pair struggle with interlingual homographs. We develop a hybrid architecture that couples Māori-language orthography with machine learning models in order to annotate mixed Māori-English text. This architecture is used to label a new bilingual Twitter corpus at both the token (word) and tweet (sentence) levels. We use the collected tweets to show that the hybrid approach outperforms existing systems with respect to language detection of interlingual homographs and overall accuracy. We also evaluate its performance on out-of-domain data. Two interactive visualisations are provided for exploring the Twitter corpus and comparing errors across the new and existing techniques. The architecture code and visualisations are available online, and the corpus is available on request.

year: 2022