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: He Māori, He Turi, He Turi, He Māori. Advancing the aspirations of Māori Deaf with their indigenous Connections: A case study

authors: Dunn, Katie Merepaea

subjects: Māori Deaf

abstract: Indigenous peoples consider their connection to whenua (land), whakapapa (genealogy), te reo (language) and tikanga (cultural values) to be an integral part of their worldview (Mead, 2003 & Barlow, 1991).

The identity struggle for indigenous minorities living within a colonised environment has been well documented (Bishop, 1995; Smith G, 1997; Smith L, 1999, & Walker, 2004). The controversies over land, customs, culture and language are major issues to understanding and maintaining one’s own cultural identity and, when considering the Deaf indigenous minorities, the task seems colossal.

When a Māori individual belongs to the hearing majority, the ability to find a place to stand, a connection to one’s turangawaewae (standing place), whakapapa, and marae (village) can be a personal struggle; however, this can often be overcome through a shared experience, through communication at a whānau (family), hapū (sub tribe) and iwi (tribe) level.  However, when the individual is part of a double minority such as the Māori Deaf community, the ability to engage and establish a relationship to enhance their connection to their turangawaewae, can become difficult due to the need to communicate in three different languages: English, Māori and Sign Language.  These language issues can create barriers for the Deaf, Māori and hearing communities at a whānau, hapū and iwi level.

This thesis examines a series of workshops created to advance the indigenous connections and understanding within the Māori Deaf community and Te Ao Māori (Māori worldview). It explores how the integration of the Deaf and hearing, indigenous Māori language and New Zealand Sign Language along with practical workshops can assist the aspirations of Māori Deaf within the advancement of Te Ao Māori and Te Reo Māori.  Within this thesis I will undertake a series of interviews with participants who are at the forefront of the Māori Deaf community. A suggestion of moving forward to address the needs of the Māori Deaf community within the desire to connect to their Māori language and customs is also offered within this thesis.

text: He Māori, He Turi, He Turi, He Māori. Advancing the aspirations of Māori Deaf with their indigenous Connections: A case study Indigenous peoples consider their connection to whenua (land), whakapapa (genealogy), te reo (language) and tikanga (cultural values) to be an integral part of their worldview (Mead, 2003 & Barlow, 1991).

The identity struggle for indigenous minorities living within a colonised environment has been well documented (Bishop, 1995; Smith G, 1997; Smith L, 1999, & Walker, 2004). The controversies over land, customs, culture and language are major issues to understanding and maintaining one’s own cultural identity and, when considering the Deaf indigenous minorities, the task seems colossal.

When a Māori individual belongs to the hearing majority, the ability to find a place to stand, a connection to one’s turangawaewae (standing place), whakapapa, and marae (village) can be a personal struggle; however, this can often be overcome through a shared experience, through communication at a whānau (family), hapū (sub tribe) and iwi (tribe) level.  However, when the individual is part of a double minority such as the Māori Deaf community, the ability to engage and establish a relationship to enhance their connection to their turangawaewae, can become difficult due to the need to communicate in three different languages: English, Māori and Sign Language.  These language issues can create barriers for the Deaf, Māori and hearing communities at a whānau, hapū and iwi level.

This thesis examines a series of workshops created to advance the indigenous connections and understanding within the Māori Deaf community and Te Ao Māori (Māori worldview). It explores how the integration of the Deaf and hearing, indigenous Māori language and New Zealand Sign Language along with practical workshops can assist the aspirations of Māori Deaf within the advancement of Te Ao Māori and Te Reo Māori.  Within this thesis I will undertake a series of interviews with participants who are at the forefront of the Māori Deaf community. A suggestion of moving forward to address the needs of the Māori Deaf community within the desire to connect to their Māori language and customs is also offered within this thesis.

year: 2012

title: Predictive modelling of thermal properties of foods

authors: Carson, James K.

subjects: food

abstract: Thermal properties of foods are vital inputs for many food process models. With the recent advances in mathematical modelling and significant reduction in the cost of computational power, uncertainties in model inputs are more and more becoming the limiting factor in model accuracy rather than the model formulation or solution process. In this chapter methods and models are presented for predicting thermal properties based solely on data for the composition of the food in terms of its basic components (liquid water, ice, protein, fat, carbohydrate, ash and air). This type of model provides genuine predictions of thermal properties since no thermal property measurements are required, as is necessary with some effective property models that may be found in the literature. Foods are divided into different classes, depending on the difficulties they pose for thermal properties prediction. Simple guidelines for thermal property prediction are presented along with worked examples to serve as illustrations.

text: Predictive modelling of thermal properties of foods Thermal properties of foods are vital inputs for many food process models. With the recent advances in mathematical modelling and significant reduction in the cost of computational power, uncertainties in model inputs are more and more becoming the limiting factor in model accuracy rather than the model formulation or solution process. In this chapter methods and models are presented for predicting thermal properties based solely on data for the composition of the food in terms of its basic components (liquid water, ice, protein, fat, carbohydrate, ash and air). This type of model provides genuine predictions of thermal properties since no thermal property measurements are required, as is necessary with some effective property models that may be found in the literature. Foods are divided into different classes, depending on the difficulties they pose for thermal properties prediction. Simple guidelines for thermal property prediction are presented along with worked examples to serve as illustrations.

year: 2011