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Hits 221 – 240 of 1.629

221
Correlating English Language Learner CRCT Scores on the Basis of English Language Learner ACCESS Scores
In: Doctoral Dissertations and Projects (2016)
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222
Standard setting in specific-purpose language testing: what can a qualitative study add?
Manias, Elizabeth; McNamara, Tim. - : Sage, 2016
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223
The Knowledge Of Romani And School Readiness Of Roma Children ...
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224
Inklusion von Roma-Schülerinnen und Schülern: (Wie) Können Sprachtherapie und Sprachheilpädagogik unterstützen?
In: Stitzinger, Ulrich [Hrsg.]; Sallat, Stephan [Hrsg.]; Lüdtke, Ulrike [Hrsg.]: Sprache und Inklusion als Chance?! Expertise und Innovation für Kita, Schule und Praxis. Idstein : Schulz-Kirchner Verlag 2016, S. 325-331. - (Sprachheilpädagogik aktuell. Beiträge für Schule, Kindergarten, therapeutische Praxis; 2) (2016)
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225
Sprachdiagnostik als Ausgangspunkt für Förderung mehrsprachiger Schülerinnen und Schüler
In: Pädagogik leben (2016) 2, S. 10-12 (2016)
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226
Code-switched English Pronunciation Modeling for Swahili Spoken Term Detection (Pub Version, Open Access)
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227
Survey of Zayse, Zergulla and Related Speech Varieties
Magnusson, Carol; Jordan, Linda; Hussein Mohammed Musa. - : SIL International, 2016
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228
Sui Dialect Research
Castro, Andy; Pan Xingwen; Castro, Ching-yee. - : SIL International, 2016
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229
The Sociolinguistic Situation of the Hunjara-Kaina Ke Language
Retsema, Thom; Gray, Rachel; Hiley, Rachel. - : SIL International, 2016
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230
A Sociolinguistic Survey of the Tongwe Community
Kotarska-Boczek, Ania. - : SIL International, 2016
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231
A Sociolinguistic Study of Dangaura Tharu and Related Varieties
Mitchell, Jessica; Eichentopf, Stephanie. - : SIL International, 2016
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232
An end-to-end approach to language identification in short utterances using convolutional neural networks
Abstract: In this work, we propose an end-to-end approach to the language identification (LID) problem based on Convolutional Deep Neural Networks (CDNNs). The use of CDNNs is mainly motivated by the ability they have shown when modeling speech signals, and their relatively low-cost with respect to other deep architectures in terms of number of free parameters. We evaluate different configurations in a subset of 8 languages within the NIST Language Recognition Evaluation 2009 Voice of America (VOA) dataset, for the task of short test durations (segments up to 3 seconds of speech). The proposed CDNN-based systems achieve comparable performances to our baseline i-vector system, while reducing drastically the number of parameters to tune (at least 100 times fewer parameters). Then, we combine these CDNN-based systems and the i-vector baseline with a simple fusion at score level. This combination outperforms our best standalone system (up to 11% of relative improvement in terms of EER). ; This work has been supported by project CMC-V2: Caracterización, Modelado y Compensación de Variabilidad en la Señal de Voz (TEC2012-37585-C02-01), funded by Ministerio de Economía y Competitividad, Spain.
Keyword: Computational linguistics; Convolution; Convolutional neural network; Deep architectures; Deep neural networks; Free parameters; Language identification; Language recognition; Natural language processing systems; Neural networks; Speech communication; Speech recognition; Standalone systems; Statistical tests; Telecomunicaciones; Test durations
URL: http://hdl.handle.net/10486/674566
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233
Language effects in international testing: the case of PISA 2006 science items
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234
Language effects in international testing: The case of PISA 2006 science items
In: Symplectic Elements at Oxford ; Added by author ; ORA review team (2016)
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235
The relationship between test-takers’ first language, listening proficiency and their performance on paired speaking tests
Jaiyote, Suwimol. - : University of Bedfordshire, 2016
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236
Contrasting the oral and written narratives of six- and eight-year-old Canadian children
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237
Chinese L2 learners’ depth of vocabulary knowledge and its role in reading comprehension
Zhang, D; Yang, X. - : Wiley for American Council on the Teaching of Foreign Languages, 2016
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238
Using The Mobile Application Evernote for Diagnostic Assessment to Enhance Foreign Language Proficiency
Ka, Jay. - 2016
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239
An evaluation of a post-entry test: An item analysis using Classical Test Theory (CTT)
In: Open Access Dissertations (2016)
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240
TOEFL Strategies: A Complete Guide to the iBT
In: SHU Faculty Publications (2016)
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