21![DISCRIMINATIVE LANGUAGE MODEL ADAPTATION FOR MANDARIN BROADCAST SPEECH TRANSCRIPTION AND TRANSLATION X. A. Liu, W. J. Byrne, M. J. F. Gales, A. de Gispert, M. Tomalin, P. C. Woodland & K. Yu Cambridge University Engineer DISCRIMINATIVE LANGUAGE MODEL ADAPTATION FOR MANDARIN BROADCAST SPEECH TRANSCRIPTION AND TRANSLATION X. A. Liu, W. J. Byrne, M. J. F. Gales, A. de Gispert, M. Tomalin, P. C. Woodland & K. Yu Cambridge University Engineer](https://www.pdfsearch.io/img/87a020d66e69c42b2a6aa08df35228fd.jpg) | Add to Reading ListSource URL: mi.eng.cam.ac.ukLanguage: English - Date: 2010-10-27 17:51:51
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22![C ONTRIBUTED RESEARCH ARTICLE 248 A Tidy Data Model for Natural Language Processing using cleanNLP C ONTRIBUTED RESEARCH ARTICLE 248 A Tidy Data Model for Natural Language Processing using cleanNLP](https://www.pdfsearch.io/img/896855155d0a0bb6865aa38ecf9d2347.jpg) | Add to Reading ListSource URL: journal.r-project.org- Date: 2018-01-29 07:20:14
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23![Language-based abstractions for dynamical systems Andrea Vandin IMT School for Advanced Studies Lucca, Lucca, Italy Ordinary differential equations (ODEs) are the primary means to model dynamic Language-based abstractions for dynamical systems Andrea Vandin IMT School for Advanced Studies Lucca, Lucca, Italy Ordinary differential equations (ODEs) are the primary means to model dynamic](https://www.pdfsearch.io/img/90f78e78a5ac67901b72a1b25ae11da6.jpg) | Add to Reading ListSource URL: qapl17.doc.ic.ac.uk- Date: 2017-04-20 09:16:43
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24![MODEL SCHOOL DISTRICT POLICY ON SUICIDE PREVENTION Model Language, Commentary, and MODEL SCHOOL DISTRICT POLICY ON SUICIDE PREVENTION Model Language, Commentary, and](https://www.pdfsearch.io/img/c61c903580e634790b72dfd7b70d9fa9.jpg) | Add to Reading ListSource URL: education.alaska.gov- Date: 2017-10-10 16:34:43
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25![MoCHi: Software Model Checker for a Higher-Order Functional Language MoCHi: Software Model Checker for a Higher-Order Functional Language](https://www.pdfsearch.io/img/f14892937a7233cf605071a9e6c2be07.jpg) | Add to Reading ListSource URL: www2.ims.nus.edu.sg- Date: 2016-09-29 23:34:21
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26![Grouping Language Model Boundary Words to Speed K–Best Extraction from Hypergraphs Kenneth Heafield∗,† Philipp Koehn∗ Alon Lavie† ∗ Grouping Language Model Boundary Words to Speed K–Best Extraction from Hypergraphs Kenneth Heafield∗,† Philipp Koehn∗ Alon Lavie† ∗](https://www.pdfsearch.io/img/baf93d030c1bb0c704966db442f6c468.jpg) | Add to Reading ListSource URL: aclweb.org- Date: 2013-05-18 12:41:37
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27![A Hierarchical Bayesian Language Model based on Pitman-Yor Processes Yee Whye Teh School of Computing, National University of Singapore, 3 Science Drive 2, Singapore. A Hierarchical Bayesian Language Model based on Pitman-Yor Processes Yee Whye Teh School of Computing, National University of Singapore, 3 Science Drive 2, Singapore.](https://www.pdfsearch.io/img/01aa2c44fe6deef14b9b9b1fde81c4bd.jpg) | Add to Reading ListSource URL: www.gatsby.ucl.ac.uk- Date: 2010-06-29 13:51:12
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28![A model of population dynamics applied to phonetic change James Kirby () School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh EH8 9AD UK Morgan Sonderegger (morgan.s A model of population dynamics applied to phonetic change James Kirby () School of Philosophy, Psychology, and Language Sciences, University of Edinburgh, Edinburgh EH8 9AD UK Morgan Sonderegger (morgan.s](https://www.pdfsearch.io/img/c9b000bbc8810af7ff981ebe5de6c799.jpg) | Add to Reading ListSource URL: mindmodeling.org- Date: 2013-07-15 14:53:24
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29![SIFMA Municipal Advisor Model Language:Model Independent Registered Municipal Advisor Exemption Language SIFMA Municipal Advisor Model Language:Model Independent Registered Municipal Advisor Exemption Language](https://www.pdfsearch.io/img/ece77b369e723e295968946e54425961.jpg) | Add to Reading ListSource URL: cdn.portofportland.com- Date: 2015-07-27 17:35:44
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30![Practice Questions for CS410 Midterm Exam Please feel free to discuss these questions with your classmates 1. Let M be the unigram language model representing the “text mining topic” shown on slide 22 of the NLP lect Practice Questions for CS410 Midterm Exam Please feel free to discuss these questions with your classmates 1. Let M be the unigram language model representing the “text mining topic” shown on slide 22 of the NLP lect](https://www.pdfsearch.io/img/a1737ae228ed95801c3736bde3d02631.jpg) | Add to Reading ListSource URL: sifaka.cs.uiuc.edu- Date: 2014-04-10 17:07:22
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