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Sprachliche Praxis lebensweltlich mehrsprachiger Jugendlicher : Formale, non-formale und informelle Lern- und Bildungskontexte im Vergleich
Wehner, Constanze. - Wiesbaden : Springer Fachmedien Wiesbaden, 2019
UB Frankfurt Linguistik
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2
Multilingualism in European language education
Lapresta-Rey, Cecilio (Herausgeber); Huguet Canalís, Ángel (Herausgeber). - Blue Ridge Summit : Multilingual Matters, 2019
BLLDB
UB Frankfurt Linguistik
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3
Le lingue in Svizzera : addendum : analisi dei dati dell'Indagine sulla lingua, la religione e la cultura 2014
Janner, Maria Chiara; Bruno, Danilo; Pandolfi, Elena Maria (Mitwirkender). - Bellinzona : Osservatorio linguistico della Svizzera italiana, 2019
BLLDB
UB Frankfurt Linguistik
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4
Mehrsprachigkeit und Bildung in Kitas und Schulen
Panagiotopoulou, Argyro; Montanari, Elke. - Tübingen : Narr Francke Attempto Verlag, 2019
BLLDB
UB Frankfurt Linguistik
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5
The History of High School Ethnic Studies Courses in California: A Case Study of Santa Maria Joint Union High School District
In: History (2019)
BASE
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6
Foreign Language Teaching Methodologies: A Review and Analysis in Mandarin Chinese and Spanish University Classes
In: World Languages and Cultures (2019)
BASE
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7
Minority Student Engagement Through the Lens of Campus Activities and Events
In: Master’s Theses (2019)
BASE
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8
Teacher Education and Refugee Students
In: Faculty Contributions to Books (2019)
BASE
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9
Inequities of Enrollment in Gifted Education: A Statewide Application of the 20% Equity Allowance Formula
In: Curriculum, Instruction, and Foundational Studies Faculty Publications and Presentations (2019)
BASE
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10
Interview with Dr. Greg Martinez, Director of TRIO Programs, Boise State University
In: UF200 - Fall 2019 (2019)
BASE
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11
Multilingual Information Retrieval: A Representation Building Perspective
In: Boise State University Theses and Dissertations (2019)
Abstract: Information Retrieval (IR) has changed the way we access digital resources and satisfy our daily information needs. Popular IR tools like Search Engines, Recommendation Systems, and Automatic Question Answering sites, act as a deterrent for information overload while fostering (at least in theory) the democratization of access to resources. Yet, in their majority, IR tools are built with a traditional user in mind. This causes users who deviate from the norm, e.g., users with low educational background, visually-impaired users, or users who speak different languages, to be undeserved and thus struggle to find the information they require. In this manuscript, we present novel methodologies that can enable better adaptation of IR tools to non-traditional users. We focus on two aspects in which users can differ from the traditional: language and reading skills. We study and address such difficulties, and discuss how they affect IR systems. Particularly, we allocate research efforts to three main areas: (1) readability assessment, where we introduce the first featureless architecture, enabling it to be used in any language without specific tuning; (2) cross-lingual word embedding generation, where we address the English-dependency problem of state-ofthe-art strategies via a hierarchical mapping strategy that takes advantage of the language family tree; and (3) cross-lingual sentence embedding generation, where we present a novel representation learning framework based on a hierarchical sequence-to-sequence model that enables better representations for low-resource languages. Each of the strategies that result from this work can be leveraged in the design of IR systems that better support vii non-traditional users. In fact, to demonstrate how they can be integrated to address the needs of non-traditional users, we also conduct an analysis of four different readability assessment strategies (based on our three models) in terms of their language transfer capabilities, demonstrating the use of the aforementioned models in low-resource language scenarios. Despite the contributions presented, results indicate that there is still a long path towards building IR systems that fully address the needs of non-traditional users, in areas including representation of typologically isolated low-resource languages or more fine-grained multilingual readability assessment.
Keyword: Computer Sciences; information retrieval; multilingual; non-traditional users
URL: https://scholarworks.boisestate.edu/td/1612
https://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=2742&context=td
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12
Chinese Transnational Adolescents’ Responses to Multicultural Children’s Literature in Culture Circles
In: Boise State University Theses and Dissertations (2019)
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13
Interview with Francisco Salinas, Director for Student Diversity and Inclusion, Boise State University
In: UF200 - Fall 2019 (2019)
BASE
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14
Interview with Lucy Padilla, Early College Coordinator, College of Southern Idaho
In: UF200 - Fall 2019 (2019)
BASE
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15
Interview with Dr. Greg Martinez, Director of TRIO Programs, Boise State University
In: UF200 - Fall 2019 (2019)
BASE
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16
Frank C. Laubach Teaching Materials and Publications
In: Finding Aids (2019)
BASE
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17
Defining the Transition to Adulthood Among Ecuadorian Immigrants Living in New York City
In: Senior Projects Spring 2019 (2019)
BASE
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18
Curated Spaces for Global Citizenship: Popularization of the English Language in Seoul
In: Senior Projects Spring 2019 (2019)
BASE
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19
Chinese International Learners’ Acculturation at an American University
In: Graduate Theses & Dissertations (2019)
BASE
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20
A unified multilingual handwriting recognition system using multigrams sub-lexical units
In: ISSN: 0167-8655 ; Pattern Recognition Letters ; https://hal-normandie-univ.archives-ouvertes.fr/hal-02075654 ; Pattern Recognition Letters, Elsevier, 2019, 121, pp.68-76. ⟨10.1016/j.patrec.2018.07.027⟩ (2019)
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