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1	Patterns: An Increase in
	German Nominalization; Stefan Hartmann
	In: http://www.uk-cla.org.uk/files/proceedings/Hartmann.pdf (2014)
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2	ImageSpirit: Verbal guided image parsing
	Ming-ming Cheng; Shuai Zheng; Wen-yan Lin...
	In: http://vecg.cs.ucl.ac.uk/Projects/SmartGeometry/image_spirit/paper_docs/imageSpirit_tog_14.pdf (2014)
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3	Semantic Interpretation of Noun Compounds Using Verbal and Other Paraphrases
	Preslav I. Nakov
	In: http://people.ischool.berkeley.edu/~hearst/papers/acm_tslp_2013.pdf (2013)
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4	OPEN ACCESS Freely available online RRHLM \| rrhlm.org
	In: http://www.rrhlm.org/index.php/RRHLM/article/viewFile/7/7/ (2013)
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5	Terminological Lexicon, A Staightforward Reflection
	Of Globalized Develoments; Dr. Vilma Bello
	In: http://www.mcser.org/journal/index.php/mjss/article/download/17/15/ (2013)
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6	The Relationship between Parental Stress, Parentchild Interaction Quality, and Child Language Outcomes
	Meghan Nix; Meghan D. Nix. - 2013
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7	www.internationalscholarsjournals.org © International Scholars Journals
	Amadi Eugenia Ada
	In: http://internationalscholarsjournals.org/download.php?id%3D215604122896308430.pdf%26op%3D1%26type%3Dapplication/pdf (2013)
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8	Authentic Cultural and Linguistic Learning through Practicum in a Nursing Home
	Martin Andrew
	In: http://www.tesl-ej.org/pdf/ej61/a2.pdf (2012)
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9	Thai Monosyllabic Words Recognition Using Ant-Miner Algorithm IAJIT First Online Publication
	Saritchai Predawan; Chom Kimpan; Chai Wutiwiwatchai. - 2011
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10	Thai Monosyllabic Words Recognition using Ant-Miner Algorithm
	Saritchai Predawan; Chom Kimpan; Chai Wutiwiwatchai
	In: http://www.ccis2k.org/iajit/PDF/vol.10,no.4/4284.pdf (2011)
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11	Association for Academic Language and Learning
	Amanda Müller
	In: http://journal.aall.org.au/index.php/jall/article/viewFile/145/122/ (2011)
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12	Language, Internet and Platform Competition: the case of Search Engine (Preliminary, Comments Welcome)∗
	In: http://www.law.northwestern.edu/research-faculty/searlecenter/workingpapers/documents/Jeon_internet.pdf (2011)
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13	Recommended Citation
	Ryan C. Dechant; Ryan Christopher Dechant. - 2010
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14	Word Sense and Semantic Relations in Noun Compounds
	Su Nam Kim; Timothy Baldwin
	In: http://ww2.cs.mu.oz.au/~tim/pubs/tslp2013-ncwsd.pdf (2010)
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15	Markets and Linguistic Diversity
	Ramon Caminal
	In: http://research.barcelonagse.eu/tmp/working_papers/396.pdf (2010)
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16	Markets and Linguistic Diversity
	Ramon Caminal
	In: http://pareto.uab.es/wp/2009/78109.pdf (2010)
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17	An Information-extraction system for Urdu—a resource-poor language
	Smruthi Mukund; Rohini Srihari; Erik Peterson
	In: http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf (2010)
	Abstract: There has been an increase in the amount of multilingual text on the Internet due to the proliferation of news sources and blogs. The Urdu language, in particular, has experienced explosive growth on the Web. Text mining for information discovery, which includes tasks such as identifying topics, relationships and events, and sentiment analysis, requires sophisticated natural language processing (NLP). NLP systems begin with modules such as word segmentation, part-of-speech tagging, and morphological analysis and progress to modules such as shallow parsing and named entity tagging. While there have been considerable advances in developing such comprehensive NLP systems for English, the work for Urdu is still in its infancy. The tasks of interest in Urdu NLP includes analyzing data sources such as blogs and comments to news articles to provide insight into social and human behavior. All of this requires a robust NLP system. The objective of this work is to develop an NLP infrastructure for Urdu that is customizable and capable of providing basic analysis on which more advanced information extraction tools can be built. This system assimilates resources from various online sources to facilitate improved named entity tagging and Urdu-to-English transliteration. The annotated data required to train the learning models used here is acquired by standardizing the currently limited resources available for Urdu. Techniques
	Keyword: Algorithms; bootstrap learning; Categories and Subject Descriptors; Experimentation; General General Terms; H.0 [Information Systems; Languages; named entity tagging; part of speech tagging; Performance Additional Key Words and Phrases; shallow parsing; text mining; transliterations; Urdu natural language processing
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.7220 http://www.cedar.buffalo.edu/~rohini/Papers/ACM-TALIP.pdf
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18	Does educational integrity mean teaching students NOT to “use their own words
	Ursula Mcgowan
	In: http://www.ojs.unisa.edu.au/index.php/IJEI/article/download/16/6/ (2010)
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19	Transliteration for resource-scarce languages
	Manoj K. Chinnakotla; Om P. Damani; Avijit Satoskar
	In: http://www.cse.iitb.ac.in/~damani/papers/TALIP10/transliterationTALIP10.pdf (2010)
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20	Visual Sentiment Analysis of Text Document Streams · 27
	Christian Rohrdantz; Ming C. Hao; Lars-erik Haug...
	In: http://bib.dbvis.de/uploadedFiles/authors_version.pdf (2010)
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