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 infrastructure" surprisingly rich, most linguistic data available on the Web exists in legacy formats, is highly displaycentric, 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 papers 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 instances 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 enrichment of discovered data using automated statistical taggers and parsers.
The ODIN VisionThe 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 Community of Practice [10] 2 and the Electronic Metastructure for Endangered Languages Data efforts 3 , whose goals are to promote best practice standards and software, specif-1 http://www.csufresno.edu/odin 2 http://www.linguistics-ontology.org 3 http://emeld.org ically those that facilitate interoperation over disparate sets of linguistic data. ODIN's genesis came from the realization that despite the fact that significant amounts of language data are being posted and maintained on the Web, there is no uniform search strategy for discovering these data, and most that can be discovered cannot be easily manipulated or used. The e-Linguistics infrastructure may be expansive and rich, yet "discovering" language data on the Web often depends on haphazard, low-precision stringbased search strategies (using tools such as Google 4 or Yahoo 5 ), or even on decidedly low-tech discoveries made by word-of-mouth. 6 In our pursuit of a better way to locate and use language data within the existing infrastructure, we came to realize certain norms in the presentation of data could be tapped for automated discovery and manipulation. One of the more typical semi-structured formats that linguists use is Interlinear Glossed Text, or IGT. We conceived of ODIN as a means to locate instances of IGT on the Web by language name and code, such that the linguist doing a search could be reasonably confident that th...