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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9...71 Hits 81 – 100 of 1.420 81 Visual generics: How adults understand generic language with different visualizations ... Menendez, David. - : Open Science Framework, 2021 BASE Show details 82 Improving Multilingual Models for the Swedish Language : Exploring CrossLingual Transferability and Stereotypical Biases Katsarou, Styliani. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021 Abstract: The best performing Transformer-based Language Models are monolingual and mainly focus on high-resource languages such as English. In an attempt to extend their usage to more languages, multilingual models have been introduced. Nevertheless, multilingual models still underperform on a specific language when compared to a similarly sized monolingual model that has been trained solely on that specific language. The main objective of this thesis project is to explore how a multilingual model can be improved for Swedish which is a low-resource language. We study if a multilingual model can benefit from further pre-training on Swedish or on a mix of English and Swedish text before fine-tuning. Our results on the task of semantic text similarity show that further pre-training increases the Pearson Correlation Score by 5% for specific cross-lingual language settings. Taking into account the responsibilities that arise from the increased use of Language Models in real-world applications, we supplement our work by additional experiments that measure stereotypical biases associated to gender. We use a new dataset that we designed specifically for that purpose. Our systematic study compares Swedish to English as well as various model sizes. The insights from our exploration indicate that the Swedish language carries less bias associated to gender than English and that higher manifestation of gender bias is associated to the use of larger Language Models. ; De bästa Transformerbaserade språkmodellerna är enspråkiga och fokuserar främst på resursrika språk som engelska. I ett försök att utöka deras användning till fler språk har flerspråkiga modeller introducerats. Flerspråkiga modeller underpresterar dock fortfarande på enskilda språk när man jämför med en enspråkig modell av samma storlek som enbart har tränats på det specifika språket. Huvudsyftet med detta examensarbete är att utforska hur en flerspråkig modell kan förbättras för svenska som är ett resurssnålt språk. Vi studerar om en flerspråkig modell kan dra nytta av ytterligare förträning på svenska eller av en blandning av engelsk och svensk text innan finjustering. Våra resultat på uppgiften om semantisk textlikhet visar att ytterligare förträning ökar Pearsons korrelationspoäng med 5% för specifika tvärspråkiga språkinställningar. Med hänsyn till det ansvar som uppstår från den ökade användningen av språkmodeller i verkliga tillämpningar, kompletterar vi vårt arbete med ytterligare experiment som mäter stereotypa fördomar kopplade till kön. Vi använder en ny datauppsättning som vi har utformat specifikt för det ändamålet. Vår systematiska studie jämför svenska med engelska samt olika modellstorlekar. Insikterna från vår forskning tyder på att det svenska språket har mindre partiskhet förknippat med kön än engelska, samt att högre manifestation av könsfördomar är förknippat med användningen av större språkmodeller. Keyword: Computer and Information Sciences; Cross-Lingual Transfer; Data- och informationsvetenskap; Deep Learning; Multilingual Models; Natural Language Processing; Stereotypical Biases; Transformers URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305920 BASE Hide details 83 Effects of EFL Learning on L1 Chinese Lexis Wen Kong; Quan-Jiang Guo; Yin-Yan Dong; Xuesong (Andy) Gao In: Sustainability; Volume 13; Issue 23; Pages: 13496 (2021) BASE Show details 84 Automated Paraphrase Quality Assessment Using Language Models and Transfer Learning Bogdan Nicula; Mihai Dascalu; Natalie N. Newton; Ellen Orcutt; Danielle S. McNamara In: Computers; Volume 10; Issue 12; Pages: 166 (2021) BASE Show details 85 Transfer Capital or Transfer Deficit: A Dual Perspective of English Learning of ESL College Transfer Students Dennis Foung; Kin Cheung In: Sustainability; Volume 14; Issue 1; Pages: 214 (2021) BASE Show details 86 DATLMedQA: A Data Augmentation and Transfer Learning Based Solution for Medical Question Answering Shuohua Zhou; Yanping Zhang In: Applied Sciences; Volume 11; Issue 23; Pages: 11251 (2021) BASE Show details 87 Modeling Heritage Language Phonetics and Phonology: Toward an Integrated Multilingual Sound System David Natvig In: Languages; Volume 6; Issue 4; Pages: 209 (2021) BASE Show details 88 NASca and NASes: Two Monolingual Pre-Trained Models for Abstractive Summarization in Catalan and Spanish Vicent Ahuir; Lluís-F. Hurtado; José Ángel González... In: Applied Sciences ; Volume 11 ; Issue 21 (2021) BASE Show details 89 Heritage Tagalog Phonology and a Variationist Framework of Language Contact Pocholo Umbal; Naomi Nagy In: Languages; Volume 6; Issue 4; Pages: 201 (2021) BASE Show details 90 Reusing Monolingual Pre-Trained Models by Cross-Connecting Seq2seq Models for Machine Translation Oh; Choi In: Applied Sciences ; Volume 11 ; Issue 18 (2021) BASE Show details 91 Generating Synthetic Disguised Faces with Cycle-Consistency Loss and an Automated Filtering Algorithm Mobeen Ahmad; Usman Cheema; Muhammad Abdullah; Seungbin Moon; Dongil Han In: Mathematics; Volume 10; Issue 1; Pages: 4 (2021) BASE Show details 92 Methods for Detoxification of Texts for the Russian Language Daryna Dementieva; Daniil Moskovskiy; Varvara Logacheva... In: Multimodal Technologies and Interaction ; Volume 5 ; Issue 9 (2021) BASE Show details 93 Machine Translation in Low-Resource Languages by an Adversarial Neural Network Mengtao Sun; Hao Wang; Mark Pasquine; Ibrahim A. Hameed In: Applied Sciences; Volume 11; Issue 22; Pages: 10860 (2021) BASE Show details 94 3D Expression-Invariant Face Verification Based on Transfer Learning and Siamese Network for Small Sample Size Zhenye Li; Hongyan Zou; Xinyan Sun... In: Electronics ; Volume 10 ; Issue 17 (2021) BASE Show details 95 Spanish-Catalan linguistic transfers: A study of lexical availability in Lleida ; Transferències lingüístiques castellà-català: un estudi de disponibilitat lèxica a Lleida Maribel Serrano Zapata In: Treballs de Sociolingüística Catalana; Núm. 31 (2021): L’estandardologia comparada: teoria i pràctica; 149-164 (2021) BASE Show details 96 Держать, читать oder говорить доклад?! – Kollokationen und andere lexikalische Einheiten in der Sprachausbildung russischer Herkunftssprecher Karl, Katrin Bente. - : Humboldt-Universität zu Berlin, 2021 BASE Show details 97 Identifying Datooga loans in Iraqw - and the other way round ... Kießling, Roland. - : Zenodo, 2021 BASE Show details 98 Identifying Datooga loans in Iraqw - and the other way round ... Kießling, Roland. - : Zenodo, 2021 BASE Show details 99 Держать, читать oder говорить доклад?! – Kollokationen und andere lexikalische Einheiten in der Sprachausbildung russischer Herkunftssprecher ... Karl, Katrin Bente. - : Humboldt-Universität zu Berlin, 2021 BASE Show details 100 Surveying Motion Lexicalisation Patterns in L1-Portuguese/FL-English Bilinguals ... Ferreira, Renan. - : Open Science Framework, 2021 BASE Show details Page: 1 2 3 4 5 6 7 8 9...71

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