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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 Hits 1 – 12 of 12 1 Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches Citable Link; Tahira Naseem; Benjamin Snyder... In: http://dspace.mit.edu/openaccess-disseminate/1721.1/62804/ (2014) BASE Show details 2 Adding more languages improves unsupervised multilingual tagging Benjamin Snyder; Tahira Naseem; Jacob Eisenstein... In: http://newdesign.aclweb.org/anthology-new/N/N09/N09-1010.pdf (2009) BASE Show details 3 Adding more languages improves unsupervised multilingual tagging Benjamin Snyder; Tahira Naseem; Jacob Eisenstein... In: http://www.mt-archive.info/NAACL-HLT-2009-Snyder.pdf (2009) BASE Show details 4 Multilingual part-of-speech tagging: Two unsupervised approaches Tahira Naseem; Benjamin Snyder; Jacob Eisenstein; Regina Barzilay In: http://www.jair.org/media/2843/live-2843-4725-jair.pdf (2009) Abstract: We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The central assumption of our work is that by combining cues from multiple languages, the structure of each becomes more apparent. We consider two ways of applying this intuition to the problem of unsupervised part-of-speech tagging: a model that directly merges tag structures for a pair of languages into a single sequence and a second model which instead incorporates multilingual context using latent variables. Both approaches are formulated as hierarchical Bayesian models, using Markov Chain Monte Carlo sampling techniques for inference. Our results demonstrate that by incorporating multilingual evidence we can achieve impressive performance gains across a range of scenarios. We also found that performance improves steadily as the number of available languages increases. 1. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.212.2755 http://www.jair.org/media/2843/live-2843-4725-jair.pdf BASE Hide details 5 Adding more languages improves unsupervised multilingual part-of-speech tagging: A bayesian non-parametric approach Benjamin Snyder; Tahira Naseem; Jacob Eisenstein... In: http://people.csail.mit.edu/regina/my_papers/pos.pdf (2009) BASE Show details 6 Unsupervised multilingual learning for pos tagging Benjamin Snyder; Tahira Naseem; Jacob Eisenstein... In: http://www.aclweb.org/anthology-new/D/D08/D08-1109.pdf (2008) BASE Show details 7 Unsupervised Multilingual Learning for POS Tagging Benjamin Snyder; Tahira Naseem; Jacob Eisenstein... In: http://people.csail.mit.edu/jacobe/papers/EMNLP_POS.pdf BASE Show details 8 2009b. Adding more languages improves unsupervised multilingual part-of-speech tagging: a Bayesian non-parametric approach Benjamin Snyder; Tahira Naseem; Jacob Eisenstein... In: http://pages.cs.wisc.edu/~bsnyder/papers/bsnyder-naacl09.pdf BASE Show details 9 2009b. Adding more languages improves unsupervised multilingual part-of-speech tagging: A Bayesian non-parametric approach Benjamin Snyder; Tahira Naseem; Jacob Eisenstein... In: http://people.csail.mit.edu/tahira/naacl09.pdf BASE Show details 10 Multilingual part-ofspeech tagging: two unsupervised approaches Tahira Naseem; Benjamin Snyder; Jacob Eisenstein... In: http://people.csail.mit.edu/tahira/jair09.pdf BASE Show details 11 Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches Tahira Naseem; Benjamin Snyder; Jacob Eisenstein... In: http://www.sls.csail.mit.edu/~regina/my_papers/jair-pos.pdf BASE Show details 12 Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches Tahira Naseem; Benjamin Snyder; Jacob Eisenstein... In: http://people.csail.mit.edu/bsnyder/papers/bsnyder_jair09.pdf BASE Show details

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