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Measuring the divergence of dependency structures cross-linguistically to improve syntactic projection algorithms
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/971_Paper.pdf (2012)
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Language ID for a thousand languages
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In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/601.pdf (2010)
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Language ID in the context of harvesting language data off the web
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In: http://www.aclweb.org/anthology-new/E/E09/E09-1099.pdf (2009)
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Automatically Identifying Computationally Relevant Typological Features
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In: http://faculty.washington.edu/wlewis2/papers/LewisXia-ijcnlp08t-06.pdf (2008)
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Automatically Identifying Computationally Relevant Typological Features
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In: http://aclweb.org/anthology/I/I08/I08-2093.pdf (2008)
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Repurposing theoretical linguistic data for tool development and search
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In: http://aclweb.org/anthology/I/I08/I08-1069.pdf (2008)
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Multilingual Structural Projection across Interlinearized Text
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In: http://faculty.washington.edu/fxia/mpapers/NAACL07.pdf (2007)
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ODIN: A Model for Adapting and Enriching Legacy Infrastructure
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In: http://faculty.washington.edu/wlewis2/papers/ODIN-eH06.pdf (2006)
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| 9 |
Linguistics In The Internet Age: Tools And Fair Use
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In: http://emeld.org/workshop/2006/papers/lewis.pdf (2006)
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Abstract:
The current work explores the fair use of linguistic data in the context of the Internet. It is argued that the field is now at a critical turning point with respect to the way data are reused and disseminated, since current copyright laws are not adequate to protect digital language data. The problem of data misuse does not only originate from the fact that data are now broadly accessible to anyone with an Internet connection, but is exacerbated by ever more precise search engines that may access and reuse data in an automated fashion. The issue of what constitutes fair use in this domain, especially when considering the boundaries established under copyright law, is neither clear nor well-defined. As a solution, a set of principles, called Principles of Reuse and Enrichment of Linguistic Data, or PRELDs, is proposed for data found on the Internet. Each of these principles is developed by considering examples from current research that show how linguists have used, reused, and, at times, misused data in traditional print media. The principles are put to use by considering how automated linguistic tools, especially those that have the potential to blur the lines of fair use, can be made to promote linguistics as a cutting-edge scientific enterprise, while preserving the rights of authors and respecting individual scholarship.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.6734
http://emeld.org/workshop/2006/papers/lewis.pdf
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ODIN: A Model for Adapting and Enriching Legacy Infrastructure
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In: http://emeld.org/school/readingroom/odin.pdf (2006)
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| 11 |
The GOLD Community of Practice - An Infrastructure for Linguistic Data on the Web
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In: http://faculty.washington.edu/wlewis2/papers/FarLew06.pdf (2005)
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| 12 |
The GOLD Community of Practice: An infrastructure for linguistic data on the Web
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In: http://emeld.org/workshop/2005/papers/FarLew-emeld.pdf (2005)
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| 13 |
An Ontology for Linguistic Annotation
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In: http://saussure.linguistlist.org/cfdocs/emeld/workshop/2002/presentations/arizona/AAAI_paper.pdf.pdf (2002)
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| 14 |
An ontology for linguistic annotation
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In: http://aaai.org/Papers/Workshops/2002/WS-02-16/WS02-16-002.pdf (2002)
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| 15 |
A Common Ontology for Linguistic Concepts
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In: http://faculty.washington.edu/wlewis2/papers/FarLewLang02a.pdf (2002)
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| 16 |
Improving Dependency Parsing with Interlinear Glossed Text and Syntactic Projection
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In: http://aclweb.org/anthology/C/C12/C12-2037.pdf
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| 17 |
Enriching ODIN
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In: http://www.lrec-conf.org/proceedings/lrec2014/pdf/1072_Paper.pdf
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| 18 |
The Problems of Language Identification within Hugely Multilingual Data Sets
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In: http://www.lrec-conf.org/proceedings/lrec2010/pdf/921_Paper.pdf
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Linguistics in the Internet Age: Tools and the Fair Use of Digital Data
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In: http://faculty.washington.edu/farrar/documents/review/LewFarLang_review.pdf
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Parsing, Projecting & Prototypes: Repurposing Linguistic Data on the Web
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In: http://faculty.washington.edu/fxia/mpapers/EACL09_demo.pdf
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