title: On the stage Māori medium ITE: Listening to students’ voices

authors: Lee-Morgan, Jenny Bol Jun

subjects: Māori medium education

abstract: Māori-medium initial teacher education (ITE) is a small but highly important group ‘on stage’ in te ao Māori and New Zealand education. While education plays a major role in Māori language revitalisation, Māori language is also pivotal to Māori education if the aspiration ‘to live as Māori’ (Durie, 2001) is to be fulfilled. Māori-medium teachers are critical to the success of learners and their whānau who select a Māori-medium pathway and who can make a meaningful difference to the educational outcomes of Māori (Hōhepa, Hāwea, Tamatea, & Heaton, 2014). This article draws on the students’ voices in a two-year research project that centered on the development of a teaching and learning initiative within one Māori-medium ITE programme. Building on previous work by Hōhepa et al. (2014), this study adds another layer of students’ voices to understand more clearly language related issues and student experiences in Māori-medium ITE programmes. The article presents some of the complexities associated with Māori language regeneration facing students of Māori-medium ITE, with the understanding that whatever appears on the stage is always part of a greater narrative behind the scenes.

text: On the stage Māori medium ITE: Listening to students’ voices Māori-medium initial teacher education (ITE) is a small but highly important group ‘on stage’ in te ao Māori and New Zealand education. While education plays a major role in Māori language revitalisation, Māori language is also pivotal to Māori education if the aspiration ‘to live as Māori’ (Durie, 2001) is to be fulfilled. Māori-medium teachers are critical to the success of learners and their whānau who select a Māori-medium pathway and who can make a meaningful difference to the educational outcomes of Māori (Hōhepa, Hāwea, Tamatea, & Heaton, 2014). This article draws on the students’ voices in a two-year research project that centered on the development of a teaching and learning initiative within one Māori-medium ITE programme. Building on previous work by Hōhepa et al. (2014), this study adds another layer of students’ voices to understand more clearly language related issues and student experiences in Māori-medium ITE programmes. The article presents some of the complexities associated with Māori language regeneration facing students of Māori-medium ITE, with the understanding that whatever appears on the stage is always part of a greater narrative behind the scenes.

year: 2017

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

title: Tracking jockeys in a cluttered environment with group dynamics

authors: Hedayati, Mohammad

abstract: This project aims to detect and track jockeys at the turning point of the horse races. The detection and tracking of the objects is a very challenging task in a crowded environment such as horse racing due to occlusion. However, in the horse race, the jockeys follow each other's paths and move as a slowly changing group. This group dynamic gives an important cue to approximate the location of obscured jockeys. This paper proposes a novel approach to handle occlusion by the integration of the group dynamic into jockeys tracking framework. The experimental result shows the effect of group dynamics on the tracking performance against partial and full occlusions.

text: Tracking jockeys in a cluttered environment with group dynamics This project aims to detect and track jockeys at the turning point of the horse races. The detection and tracking of the objects is a very challenging task in a crowded environment such as horse racing due to occlusion. However, in the horse race, the jockeys follow each other's paths and move as a slowly changing group. This group dynamic gives an important cue to approximate the location of obscured jockeys. This paper proposes a novel approach to handle occlusion by the integration of the group dynamic into jockeys tracking framework. The experimental result shows the effect of group dynamics on the tracking performance against partial and full occlusions.

year: 2019