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1
Measuring the divergence of dependency structures cross-linguistically to improve syntactic projection algorithms
In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/971_Paper.pdf (2012)
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2
Language ID for a thousand languages
In: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/601.pdf (2010)
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3
Language ID in the context of harvesting language data off the web
In: http://www.aclweb.org/anthology-new/E/E09/E09-1099.pdf (2009)
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4
Automatically Identifying Computationally Relevant Typological Features
In: http://faculty.washington.edu/wlewis2/papers/LewisXia-ijcnlp08t-06.pdf (2008)
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5
Automatically Identifying Computationally Relevant Typological Features
In: http://aclweb.org/anthology/I/I08/I08-2093.pdf (2008)
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6
Repurposing theoretical linguistic data for tool development and search
In: http://aclweb.org/anthology/I/I08/I08-1069.pdf (2008)
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7
Multilingual Structural Projection across Interlinearized Text
In: http://faculty.washington.edu/fxia/mpapers/NAACL07.pdf (2007)
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8
ODIN: A Model for Adapting and Enriching Legacy Infrastructure
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
In: http://emeld.org/workshop/2006/papers/lewis.pdf (2006)
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10
ODIN: A Model for Adapting and Enriching Legacy Infrastructure
In: http://emeld.org/school/readingroom/odin.pdf (2006)
Abstract: The Online Database of Interlinear Text (ODIN)1 is a database of interlinear text “snippets”, harvested mostly from scholarly documents posted to the Web. Although large amounts of language data are posted to the Web as part of scholarly discourse, making the existing “e-Linguistic in-frastructure ” surprisingly rich, most linguistic data avail-able on the Web exists in legacy formats, is highly display-centric, and is often difficult to locate or interoperate over. ODIN seeks to leverage this existing infrastructure into a rich, searchable, and interoperable resource by converting readily available semi-structured data to content-centric, searchable formats. To do this, ODIN mines scholarly pa-pers and webpages for instances of linguistic data, focusing mostly on interlinear texts, extracts them, identifies source languages, and makes the instances available to search. Through ODIN’s standard search feature, users can locate data by language name or Ethnologue code, and display lists of data by document for languages of interest. The newer Advanced Search feature allows users to locate in-stances by grammatical markup that is used (e.g., NOM, ACC, ERG, PST, 3SG), and by linguistic constructions (e.g., passives, conditionals, possessives, raising constructions, etc.). The latter are made possible through additional en-richment of discovered data using automated statistical tag-gers and parsers. 1 The ODIN Vision The Online Database of Interlinear Text (ODIN) is a database of interlinear text “snippets”, harvested mostly from scholarly documents posted to the Web. ODIN was developed as part of the greater effort within the GOLD
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.543.898
http://emeld.org/school/readingroom/odin.pdf
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11
The GOLD Community of Practice - An Infrastructure for Linguistic Data on the Web
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
In: http://emeld.org/workshop/2005/papers/FarLew-emeld.pdf (2005)
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13
An Ontology for Linguistic Annotation
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
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
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
In: http://aclweb.org/anthology/C/C12/C12-2037.pdf
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17
Enriching ODIN
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
In: http://www.lrec-conf.org/proceedings/lrec2010/pdf/921_Paper.pdf
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19
Linguistics in the Internet Age: Tools and the Fair Use of Digital Data
In: http://faculty.washington.edu/farrar/documents/review/LewFarLang_review.pdf
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20
Parsing, Projecting & Prototypes: Repurposing Linguistic Data on the Web
In: http://faculty.washington.edu/fxia/mpapers/EACL09_demo.pdf
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