title: Teachers’ understandings of the role of translation in vernacular language maintenance in Malekula: some early thoughts

authors: Daly, Nicola

abstract: Existing research concerning literacy in the Pacific indicates three key considerations: (1) Traditional print literacy levels are low (Toumu’a 2016), (2) the development of culturally and linguistically relevant quality print resources is a key approach to raising these levels (Toumu’a 2016); and (3) the development of such resources can also contribute to maintenance of local knowledge (Paviour-Smith 2005).  Studies of traditional ecological knowledge (TEK) have also indicated that their inclusion in formal school curricula is an important aspect of the maintenance of this knowledge (McCarter & Gavin 2011). Paviour-Smith (2005) has worked with a community in the Aulua locale of Malekula to standardise orthography and develop materials in local languages with 26 villagers. Along the way he and his colleagues discovered the importance of paying attention to local discourse models. Thus, understanding the forms of local storytelling and the literacy practices surrounding these stories is an important first step in creating effective print resources using vernacular languages and containing TEK which aim to raise the print literacy levels in Malekula communities.

text: Teachers’ understandings of the role of translation in vernacular language maintenance in Malekula: some early thoughts Existing research concerning literacy in the Pacific indicates three key considerations: (1) Traditional print literacy levels are low (Toumu’a 2016), (2) the development of culturally and linguistically relevant quality print resources is a key approach to raising these levels (Toumu’a 2016); and (3) the development of such resources can also contribute to maintenance of local knowledge (Paviour-Smith 2005).  Studies of traditional ecological knowledge (TEK) have also indicated that their inclusion in formal school curricula is an important aspect of the maintenance of this knowledge (McCarter & Gavin 2011). Paviour-Smith (2005) has worked with a community in the Aulua locale of Malekula to standardise orthography and develop materials in local languages with 26 villagers. Along the way he and his colleagues discovered the importance of paying attention to local discourse models. Thus, understanding the forms of local storytelling and the literacy practices surrounding these stories is an important first step in creating effective print resources using vernacular languages and containing TEK which aim to raise the print literacy levels in Malekula communities.

year: 2017

title: Feature subset selection: a correlation based filter approach

authors: Hall, Mark A.

subjects: computer science

abstract: Recent work has shown that feature subset selection can have a position affect on the performance of machine learning algorithms. Some algorithms can be slowed or their performance adversely affected by too much data some of which may be irrelevant or redundant to the learning task. Feature subset selection, then, is a method of enhancing the performance of learning algorithms, reducing the hypothesis search space, and, in some cases, reducing the storage requirement. This paper describes a feature subset selector that uses a correlation based heuristic to determine the goodness of feature subsets, and evaluates its effectiveness with three common ML algorithms: a  decision tree inducer (C4.5), a naive Bayes classifier, and an instance based learner(IBI). Experiments using a number of standard data sets drawn from real and artificial domains are presented. Feature subset selection gave significant improvement for all three algorithms; C4.5 generated smaller decision trees.

text: Feature subset selection: a correlation based filter approach Recent work has shown that feature subset selection can have a position affect on the performance of machine learning algorithms. Some algorithms can be slowed or their performance adversely affected by too much data some of which may be irrelevant or redundant to the learning task. Feature subset selection, then, is a method of enhancing the performance of learning algorithms, reducing the hypothesis search space, and, in some cases, reducing the storage requirement. This paper describes a feature subset selector that uses a correlation based heuristic to determine the goodness of feature subsets, and evaluates its effectiveness with three common ML algorithms: a  decision tree inducer (C4.5), a naive Bayes classifier, and an instance based learner(IBI). Experiments using a number of standard data sets drawn from real and artificial domains are presented. Feature subset selection gave significant improvement for all three algorithms; C4.5 generated smaller decision trees.

year: 1997

title: Iarararararī

authors: Maxwell, Te Kahautu

abstract: Poi. Lyrics composed by Raniera Poihipi rāua ko Te Kahautu Maxwell. Musical score composed by Te Kahautu Maxwell, Pixie Rogers, Tama Hata, Raharuha Mitai, Renee Mitai, Maisey Rika, Ramari Sherman, Te Rina Ransfield. Performed by Ōpōtiki Mai Tawhiti (Kapa Haka group) (4mins)

Waiata Tira: Aroha
Whakaeke: Haere mai rā
Mōteatea: Te Pātere a Te Turuki
Poi: Iarararararī
Waiata ā ringa: Taku Mana Māori Motuhake
Haka: Waiwharangi
Whakawātea: Āio

text: Iarararararī Poi. Lyrics composed by Raniera Poihipi rāua ko Te Kahautu Maxwell. Musical score composed by Te Kahautu Maxwell, Pixie Rogers, Tama Hata, Raharuha Mitai, Renee Mitai, Maisey Rika, Ramari Sherman, Te Rina Ransfield. Performed by Ōpōtiki Mai Tawhiti (Kapa Haka group) (4mins)

Waiata Tira: Aroha
Whakaeke: Haere mai rā
Mōteatea: Te Pātere a Te Turuki
Poi: Iarararararī
Waiata ā ringa: Taku Mana Māori Motuhake
Haka: Waiwharangi
Whakawātea: Āio

year: 2020-02-06