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Relevant bibliographies by topics / Multilingual Modeling

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Academic literature on the topic 'Multilingual Modeling'

Author: Grafiati

Published: 25 May 2024

Last updated: 1 February 2025

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Journal articles on the topic "Multilingual Modeling"

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Haas, Alison, Scott E. Grapin, Lorena Llosa, and Okhee Lee. "Computational Modeling With Multilingual Learners." Science and Children 60, no. 7 (2023): 64–70. http://dx.doi.org/10.1080/00368148.2023.12315941.

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Santhosh Kumar, C., and V. P. Mohandas. "Robust features for multilingual acoustic modeling." International Journal of Speech Technology 14, no. 3 (2011): 147–55. http://dx.doi.org/10.1007/s10772-011-9092-6.

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Grutman, Rainier. "The Missing Link: Modeling Readers of Multilingual Writing." Journal of Literary Multilingualism 1, no. 1 (2023): 15–36. http://dx.doi.org/10.1163/2667324x-20230103.

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Abstract This contribution tries to fill the gap concerning the place and role of readers in multilingual studies by focusing on the ways in which multilingual texts both do and do not create multilingual readers. Three scenarios are illustrated with two examples each. So-called ‘shared multilingualism’ implies bilingual competence (and excludes monolingual readers) by juxtaposing languages with little overlap. Other texts exhibit more than one language yet construct a monolingual reader, while others still reward bilingual competence and at the same time accommodate monolingual incompetence.

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Park, Hyunji Hayley, Katherine J. Zhang, Coleman Haley, Kenneth Steimel, Han Liu, and Lane Schwartz. "Morphology Matters: A Multilingual Language Modeling Analysis." Transactions of the Association for Computational Linguistics 9 (March 17, 2021): 261–76. http://dx.doi.org/10.1162/tacl_a_00365.

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Abstract Prior studies in multilingual language modeling (e.g., Cotterell et al., 2018; Mielke et al., 2019) disagree on whether or not inflectional morphology makes languages harder to model. We attempt to resolve the disagreement and extend those studies. We compile a larger corpus of 145 Bible translations in 92 languages and a larger number of typological features.1 We fill in missing typological data for several languages and consider corpus-based measures of morphological complexity in addition to expert-produced typological features. We find that several morphological measures are signi

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Lindén, Krister. "Multilingual modeling of cross-lingual spelling variants." Information Retrieval 9, no. 3 (2006): 295–310. http://dx.doi.org/10.1007/s10791-006-1541-5.

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Han, Yao Jun, and Xue Mei Luo. "Modeling and Analysis of Multilingual Information Parallel Downloads in Data Grid." Applied Mechanics and Materials 263-266 (December 2012): 1424–28. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1424.

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The need arises in parallel downloads of multilingual information for powerful graphical and analytical tools, as information with a variety of different languages distributed in different Web pages and the databases are heterogeneous and uneven in data grid. Petri net is a powerful graphical and mathematics tool for describing the concurrent, asynchronous and dynamic events. The parallel downloading of multilingual information was modeled and analyzed using extended timed colored Petri net (ETSdCPN). In ETSdCPN model, the color represents different languages information, and the time duration

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Song, Guizhe, Degen Huang, and Zhifeng Xiao. "A Study of Multilingual Toxic Text Detection Approaches under Imbalanced Sample Distribution." Information 12, no. 5 (2021): 205. http://dx.doi.org/10.3390/info12050205.

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Multilingual characteristics, lack of annotated data, and imbalanced sample distribution are the three main challenges for toxic comment analysis in a multilingual setting. This paper proposes a multilingual toxic text classifier which adopts a novel fusion strategy that combines different loss functions and multiple pre-training models. Specifically, the proposed learning pipeline starts with a series of pre-processing steps, including translation, word segmentation, purification, text digitization, and vectorization, to convert word tokens to a vectorized form suitable for the downstream tas

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Hao, Shudong, and Michael J. Paul. "An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models." Computational Linguistics 46, no. 1 (2020): 95–134. http://dx.doi.org/10.1162/coli_a_00369.

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Probabilistic topic modeling is a common first step in crosslingual tasks to enable knowledge transfer and extract multilingual features. Although many multilingual topic models have been developed, their assumptions about the training corpus are quite varied, and it is not clear how well the different models can be utilized under various training conditions. In this article, the knowledge transfer mechanisms behind different multilingual topic models are systematically studied, and through a broad set of experiments with four models on ten languages, we provide empirical insights that can inf

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Rahimi, Razieh, Azadeh Shakery, and Irwin King. "Multilingual information retrieval in the language modeling framework." Information Retrieval Journal 18, no. 3 (2015): 246–81. http://dx.doi.org/10.1007/s10791-015-9255-1.

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Mitchell, Joan S., Marcia Lei Zeng, and Maja Žumer. "Modeling Classification Systems in Multicultural and Multilingual Contexts." Cataloging & Classification Quarterly 52, no. 1 (2013): 90–101. http://dx.doi.org/10.1080/01639374.2013.845620.

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Dissertations / Theses on the topic "Multilingual Modeling"

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Wicentowski, Richard. "Modeling and learning multilingual inflectional morphology in a minimally supervised framework." Available to US Hopkins community, 2002. http://wwwlib.umi.com/dissertations/dlnow/3068229.

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Schleider, Thomas. "Knowledge Modeling and Multilingual Information Extraction for the Understanding of the Cultural Heritage of Silk." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS280.

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La modélisation de tout type de connaissance humaine est un effort complexe qui doit prendre en compte toutes les spécificités de son domaine, y compris le vocabulaire de niche. Cette thèse se concentre sur un tel effort pour la connaissance de la production européenne d’objets en soie, qui peut être considérée comme obscure et donc en danger. Cependant, le fait que ces données du patrimoine culturel soient hétérogènes, réparties dans de nombreux musées à travers le monde, éparses et multilingues, pose des défis particuliers pour lesquels les graphes de connaissances sont devenus de plus en pl

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Caon, Daniel Régis Sarmento. "Automatic speech recognition, with large vocabulary, robustness, independence of speaker and multilingual processing." Universidade Federal do Espírito Santo, 2010. http://repositorio.ufes.br/handle/10/6390.

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Made available in DSpace on 2016-12-23T14:33:42Z (GMT). No. of bitstreams: 1 Dissertacao de Daniel Regis Sarmento Caon.pdf: 1566094 bytes, checksum: 67b557539f4bc5b354bc90066e805215 (MD5) Previous issue date: 2010-08-27<br>This work aims to provide automatic cognitive assistance via speech interface, to the elderly who live alone, at risk situation. Distress expressions and voice commands are part of the target vocabulary for speech recognition. Throughout the work, the large vocabulary continuous speech recognition system Julius is used in conjunction with the Hidden Markov Model Toolkit(HT

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Gohr, André [Verfasser], Alexander [Akademischer Betreuer] Hinneburg, and Stefan [Akademischer Betreuer] Wrobel. "Learning and visualizing topics and their change with time for the exploratory analysis of social tags and multilingual topic modeling of chemical compounds / André Gohr. Betreuer: Alexander Hinneburg ; Stefan Wrobel." Halle, Saale : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2012. http://d-nb.info/1033306614/34.

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Lam-Yee-Mui, Léa-Marie. "Modélisations pour la reconnaissance de la parole à données contraintes." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG075.

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Cette thèse s'inscrit dans le cadre du développement de systèmes de reconnaissance de la parole à données contraintes. Depuis une dizaine d'années, les réseaux de neurones profonds ont permis d'améliorer grandement la performance des systèmes de reconnaissance de la parole. Le succès de l'apprentissage profond va de pair avec l'utilisation de milliers d'heures de parole transcrite manuellement et avec l'augmentation du nombre de paramètres des modèles. Cependant, la constitution de corpus de parole annotée est le résultat d'un processus long et coûteux ce qui limite les quantités disponibles p

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Wright, Chrysalis L. "Parental Absence and Academic Achievement in Immigrant Students." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/322.

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Academic achievement and educational expectations as a function of parental absence were examined among 268 newly immigrant elementary, middle, and high-school students from Spanish-speaking countries. Data collected as part of a longitudinal study of adaptation and achievement in newly immigrant students were analyzed. Participants had varying experiences with parental absence, in terms of length of absence, gender of absent parent, and reason for absence. Reasons for parental absence included parental divorce, parental death, and serial migration, a cause unique to immigrant children. Studen

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Jackson, Brianne L. "Assessing K12 Online Teachers Knowledge of Online Student Identities and Characteristics." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5316.

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As K12 online learning continues to grow across the nation, the population of online students, much like the population of face-to face students, continues to change. As the online student population becomes increasingly diverse, not only in terms of race, but in terms of religion, sexual orientation and socioeconomic status, research must be undertaken to assess the level of preparation that K12 online teachers have in terms of teaching this population. This dissertation intends to serve as a baseline analysis, providing information on K12 online teachers' knowledge of the types of student ch

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Muller, Benjamin. "How Can We Make Language Models Better at Handling the Diversity and Variability of Natural Languages ?" Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS399.

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Ces dernières années, le passage à l’échelle (scaling) des modèles de langues basés sur l’apprentissage profond — principalement en termes de taille de modèle, de taille de l’ensemble de données d’entraînement et de puissance de calcul d’entraînement — est devenu l’une des principales forces motrices des progrès empiriques en Traitement Automatique du Langage (TAL). Comme l’illustrent les exemples de (Peters et al., 2018b; Devlin et al., 2018a; Brown et al., 2020;Zhang et al., 2022; Chowdhery et al., 2022), cela conduit à de meilleures performances en apprentissage supervisé ainsi qu’à de meil

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Martin, Terrence Lance. "Towards improved speech recognition for resource poor languages." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/35771/1/Terrence_Martin_Thesis.pdf.

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In recent times, the improved levels of accuracy obtained by Automatic Speech Recognition (ASR) technology has made it viable for use in a number of commercial products. Unfortunately, these types of applications are limited to only a few of the world’s languages, primarily because ASR development is reliant on the availability of large amounts of language specific resources. This motivates the need for techniques which reduce this language-specific, resource dependency. Ideally, these approaches should generalise across languages, thereby providing scope for rapid creation of ASR capabilities

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Balikas, Georgios. "Explorer et apprendre à partir de collections de textes multilingues à l'aide des modèles probabilistes latents et des réseaux profonds." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM054/document.

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Le texte est l'une des sources d'informations les plus répandues et les plus persistantes. L'analyse de contenu du texte se réfère à des méthodes d'étude et de récupération d'informations à partir de documents. Aujourd'hui, avec une quantité de texte disponible en ligne toujours croissante l'analyse de contenu du texte revêt une grande importance parce qu' elle permet une variété d'applications. À cette fin, les méthodes d'apprentissage de la représentation sans supervision telles que les modèles thématiques et les word embeddings constituent des outils importants.L'objectif de cette dissertat

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Books on the topic "Multilingual Modeling"

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(Editor), Kenneth Hyltenstam, and Manfred Pienemann (Editor), eds. Modelling Assessing SEC Lang (Multilingual Matters). Multilingual Matters Limited, 1985.

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(Editor), Kenneth Hyltenstam, and Manfred Pienemann (Editor), eds. Modelling and Assessing: Second Language Acquisition (Multilingual Matters). Multilingual Matters, 1998.

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Book chapters on the topic "Multilingual Modeling"

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Ghorab, M. Rami, Séamus Lawless, Alexander O’Connor, Dong Zhou, and Vincent Wade. "Multilingual vs. Monolingual User Models for Personalized Multilingual Information Retrieval." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38844-6_38.

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Steichen, Ben, M. Rami Ghorab, Alexander O’Connor, Séamus Lawless, and Vincent Wade. "Towards Personalized Multilingual Information Access - Exploring the Browsing and Search Behavior of Multilingual Users." In User Modeling, Adaptation, and Personalization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08786-3_39.

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Gao, Ming, Shilian Wu, and Zengfu Wang. "A Length-Sensitive Language-Bound Recognition Network for Multilingual Text Recognition." In MultiMedia Modeling. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27818-1_12.

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Embley, David W., Stephen W. Liddle, Deryle W. Lonsdale, and Yuri Tijerino. "Multilingual Ontologies for Cross-Language Information Extraction and Semantic Search." In Conceptual Modeling – ER 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24606-7_12.

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Díaz Esteban, Alberto. "Integrating Multilingual Text Classification Tasks and User Modeling in Personalized Newspaper Services." In User Modeling 2001. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44566-8_41.

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Chew, Peter A., and Jessica G. Turnley. "Understanding Russian Information Operations Using Unsupervised Multilingual Topic Modeling." In Social, Cultural, and Behavioral Modeling. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60240-0_12.

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Donahue, Christiane. "Trends in modeling academic writing in multilingual contexts." In Academic writing across languages: multilingual and contrastive approaches in higher education. Böhlau Verlag, 2019. http://dx.doi.org/10.7767/9783205208815.41.

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Chew, Peter A. "‘Linguistics-Lite’ Topic Extraction from Multilingual Social Media Data." In Social Computing, Behavioral-Cultural Modeling, and Prediction. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16268-3_30.

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Mogadala, Aditya, Rambhoopal Kothwal, and Vasudeva Varma. "Language Modeling Approach to Retrieval for SMS and FAQ Matching." In Multilingual Information Access in South Asian Languages. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40087-2_12.

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Wu, Jiajia, Kun Zhao, Zhengyan Yang, Bing Yin, Cong Liu, and Lirong Dai. "End-to-End Multilingual Text Recognition Based on Byte Modeling." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46311-2_11.

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Conference papers on the topic "Multilingual Modeling"

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Fedorova, Mariia, Timothee Mickus, Niko Partanen, Janine Siewert, Elena Spaziani, and Andrey Kutuzov. "AXOLOTL’24 Shared Task on Multilingual Explainable Semantic Change Modeling." In Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.lchange-1.8.

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Zhang, Demi, Bushi Xiao, Chao Gao, Sangpil Youm, and Bonnie J. Dorr. "Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming." In Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.mrl-1.8.

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Li, Zihao, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, and Jörg Tiedemann. "A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.888.

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Limisiewicz, Tomasz, Terra Blevins, Hila Gonen, Orevaoghene Ahia, and Luke Zettlemoyer. "MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.804.

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Tian, Jilei, Juha Häkkinen, and Olli Viikki. "Multilingual pronunciation modeling for improving multilingual speech recognition." In 7th International Conference on Spoken Language Processing (ICSLP 2002). ISCA, 2002. http://dx.doi.org/10.21437/icslp.2002-176.

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Datta, Arindrima, Bhuvana Ramabhadran, Jesse Emond, Anjuli Kannan, and Brian Roark. "Language-Agnostic Multilingual Modeling." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053443.

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Kanthak, S., and Hermann Ney. "Multilingual acoustic modeling using graphemes." In 8th European Conference on Speech Communication and Technology (Eurospeech 2003). ISCA, 2003. http://dx.doi.org/10.21437/eurospeech.2003-373.

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Musa, Ibrahim Hussein, Kang Xu, and Ibrahim Zamit. "Multilingual Document Concept Topic Modeling." In 2022 European Conference on Natural Language Processing and Information Retrieval (ECNLPIR). IEEE, 2022. http://dx.doi.org/10.1109/ecnlpir57021.2022.00027.

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Lowe, Ryan, and Ben Steichen. "Multilingual Search User Behaviors -- Exploring Multilingual Querying and Result Selection Through Crowdsourcing." In UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization. ACM, 2017. http://dx.doi.org/10.1145/3079628.3079702.

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Moosa, Ibraheem Muhammad, Mahmud Elahi Akhter, and Ashfia Binte Habib. "Does Transliteration Help Multilingual Language Modeling?" In Findings of the Association for Computational Linguistics: EACL 2023. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.findings-eacl.50.

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