Show simple item record

dc.contributor.authorBender, Emily M.
dc.contributor.authorHowell, Kristen
dc.contributor.authorXia, Fei
dc.contributor.authorZamaraeva, Olga
dc.contributor.authorGoodman, Michael Wayne
dc.contributor.authorCrowgey, Joshua
dc.contributor.authorPackard, Woodley
dc.contributor.authorLockwood, Michael Wayne
dc.contributor.authorLepp, Haley
dc.contributor.authorRamaswamy, Swetha
dc.contributor.authorBateman, Emma
dc.contributor.authorHeath, Jeff
dc.contributor.authorInman, David
dc.contributor.authorBurrel, Alex
dc.contributor.authorZhang, Claude
dc.contributor.authorFlickinger, Dan
dc.contributor.authorOepen, Stephan
dc.contributor.authorDrellishak, Scott
dc.contributor.authorPoulson, Laurie
dc.contributor.authorO'Hara, Kelly
dc.contributor.authorFokkens, Antske
dc.contributor.authorHou, Joshua
dc.contributor.authorMills, Daniel P.
dc.contributor.authorSong, Sanghoun
dc.contributor.authorHalgrim, Scott
dc.contributor.authorWax, David
dc.contributor.authorGracheva, Varya
dc.contributor.authorTrimble, TJ
dc.contributor.authorCurtis, Chris
dc.contributor.authorDermer, Laurie
dc.contributor.authorHaeger, Mike
dc.contributor.authorNielsen, Elizabeth
dc.contributor.authorNordlinger, Rachel
dc.descriptionThis archive is associated with the AGGREGATION project, which seeks to automatically generate HPSG grammars on the basis of Interlinnear Glossed Text data. For a detailed description of this project see Chapter 3 of Inferring Grammars from Interlinear Glossed Text: Extracting Typological and Lexical Properties for the Automatic Generation of HPSG Grammars, PhD thesis by Kristen Howell 2020. This archive includes the following: The AGGREGATION/BASIL syntactic inference repository from The MOM morphological inference repository from The Xigt framework for eXtensible Interlinear Glossed Text release 1.1 from The Grammar Matrix Customization system Code, dependencies and sample data for running the AGGREGATION pipeline end to end.en_US
dc.description.abstractThe AGGREGATION Project aims to bring the benefits of grammar engineering to language documentation without requiring field linguists to become grammar engineers. We achieve this by automatically creating precision grammars on the basis of analyses and annotations already produced by field linguists together with a typologically-grounded cross-linguistic grammar resource (the LinGO Grammar Matrix) and natural language processing techniques developed for high-resource languages. Precision grammars are machine-readable encodings of mutually-consistent linguistic hypotheses, in our case, concerning morphotactics, morphosyntax and the syntax-semantics interface. They can be used to automatically process text, assigning structures to input strings and strings to input semantic representations. Text processed in this way can then be searched for sentences or word forms with structures of interest or items that are not covered by the grammar (i.e. fall outside current hypotheses).en_US
dc.description.sponsorshipNational Science Foundation under Grant No. BCS-1160274 (PI Bender) National Science Foundation under Grant No. BCS-1561833 (PI Bender)en_US
dc.rightsAttribution 3.0 United States*
dc.subjectGrammar Inferenceen_US
dc.subjectInterlinear Glossed Texten_US
dc.subjectHPSG Syntaxen_US
dc.subjectEndangered Languagesen_US
dc.subjectGrammar Engineeringen_US

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution 3.0 United States
Except where otherwise noted, this item's license is described as Attribution 3.0 United States