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1
Bloom: Now Communities Can Create Their Own Books
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2
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
In: ISSN: 1931-7557 ; EISSN: 1931-7565 ; Brain imaging and behavior (Brain Imaging Behav) ; https://hal-pasteur.archives-ouvertes.fr/pasteur-01967166 ; Brain imaging and behavior (Brain Imaging Behav), Secaucus, NJ : Springer, 2014, 8 (2), pp.152-182. ⟨10.1007/s11682-013-9269-5⟩ (2014)
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3
SayMore: Language documentation productivity
Hatton, John. - 2013
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4
SayMore: Language documentation productivity
Hatton, John. - 2013
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5
Software for Remote Dictionary Collaboration
In: International Journal of Lexicography 24 (2011) 4, 420-431
IDS OBELEX meta
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6
Software for remote dictionary collaboration
In: International journal of lexicography. - Oxford : Oxford Univ. Press 24 (2011) 4, 420-431
BLLDB
OLC Linguistik
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7
A proposed work-flow and software tool-set for community dictionary development and distribution
In: Lexicography: Theoretical and Practical Perspectives. Proceedings of the Seventh ASIALEX Biennial International Conference 2011. Kyoto Terrsa, Kyoto, Japan, 22 - 24 August 2011 (2011), 150-159
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8
Software for Remote Dictionary Collaboration
Hatton, John. - : Oxford University Press, 2011
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9
C1 dictionaries colloquium: Collaborative dictionary making with WeSay
Hatton, John. - 2011
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10
Software for remote dictionary collaboration
Hatton, John. - 2011
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11
WeSay, a tool for engaging native speakers in dictionary building
Albright, Eric Scott; Hatton, John. - : University of Hawaiˁi Press, 2008
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12
Chapter 10. WeSay, a Tool for Engaging Communities in Dictionary Building
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13
Chapter 10. WeSay, a Tool for Engaging Communities in Dictionary Building
Abstract: This chapter introduces WeSay, an open source software application designed to involve language community members in the description and documentation of their language. Intended for rugged, low- power hardware, WeSay's simplified user interface removes many barriers that typically prevent the direct involvement of community members. In this chapter, we describe the dictionary-building features of WeSay that allow a linguist to tailor a sequence of language documentation tasks to engage community members. These tasks reduce a production step to its simplest form, enabling focused training and division of labor. Word gathering tasks use semantic domains, word lists, or patterns of likely words to build up the dictionary. Successive tasks add specific content, such as glosses and example sentences, to the entries. In addition, the program can prepare simple paper publications designed to promote community support for the effort and can transfer the raw data to the linguist for further processing with tools that are more powerful. ; National Foreign Language Resource Center and University of Hawai‘i Press
Keyword: dictionary building; WeSay
URL: http://hdl.handle.net/10125/1368
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14
Combining UML, XML and relational database technologies -- the best of all worlds for robust linguistic databases
In: http://www.ldc.upenn.edu/annotation/database/papers/Hayashi_Hatton/23.3.hayashi.pdf (2001)
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15SayMore
https://software.sil.org/saymore/
Topic: Language documentation / Field linguistics
Source type: Software / Tools
Access: free access
16WeSay
https://software.sil.org/wesay/
Topic: Language documentation / Field linguistics; Lexicography
Source type: Software / Tools
Access: free access

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