{"id":107,"date":"2021-10-28T16:22:21","date_gmt":"2021-10-28T16:22:21","guid":{"rendered":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/?post_type=chapter&p=107"},"modified":"2024-03-04T00:24:27","modified_gmt":"2024-03-04T00:24:27","slug":"chapter-8","status":"publish","type":"chapter","link":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/chapter\/chapter-8\/","title":{"raw":"Summary","rendered":"Summary"},"content":{"raw":"

8.1 Summary<\/h1>\r\nLanguage documentation can move forward at a rapid pace using tools now commonly available. These include tools for transcription and translation. A challenge for annotators is unpacking morphological complexity and keeping track of their analyses as they develop. \u00a0A hierarchical method of glossing allows for some harmonization between languages; and in large databases, this kind of comparable data can be a powerful tool to speed up analyses and reveal patterns of theoretical interest.<\/span>\r\n\r\nWhile the Leipzig Glossing Rules (LGR) provide general standards and principles for IGT, we have laid out here annotation methods for not-yet confirmed analyses as these are confirmed through iterative analysis.\r\n\r\nWhen I (Chelliah) have spoken with linguistics students about corpus-building, there has always been a dissenting voice saying that the time investment is prohibitive. If you are working towards a degree in 4 years and one year is taken to build the corpus, then that is simply too dear a price to pay for better data.\r\n\r\nThis is a valid point. Corpus-building is time-consuming. In summarizing this textbook, we would like to point out the following:\r\n
    \r\n \t
  1. New technologies speed up the process of corpus building at various stages.<\/li>\r\n \t
  2. The more IGT corpora available for related languages, the easier it will be to develop the conventions and structure for the creation of a new corpus.<\/li>\r\n \t
  3. Annotation methods such as hierarchical glossing provide a pathway to analysis.<\/li>\r\n \t
  4. Novice annotators, who otherwise feel the task is overwhelming, can use this method as a scaffold to move forward in creating corpora and improving analytic outcomes.<\/li>\r\n<\/ol>\r\n
    \r\n

    Discussion<\/p>\r\nReflecting on the activities you have undertaken in the previous chapters, discuss how you might use IGT as tool for\r\n

      \r\n \t
    1. Understanding grammar and improving description<\/li>\r\n \t
    2. Creating language teaching materials for increase in vocabulary, orthography development, and publications related to culture and literature<\/li>\r\n \t
    3. Creating a comparable corpus for understanding related languages<\/li>\r\n \t
    4. Speeding up annotation by preloading the FLEx Lexicon<\/li>\r\n<\/ol>\r\n<\/div>","rendered":"

      8.1 Summary<\/h1>\n

      Language documentation can move forward at a rapid pace using tools now commonly available. These include tools for transcription and translation. A challenge for annotators is unpacking morphological complexity and keeping track of their analyses as they develop. \u00a0A hierarchical method of glossing allows for some harmonization between languages; and in large databases, this kind of comparable data can be a powerful tool to speed up analyses and reveal patterns of theoretical interest.<\/span><\/p>\n

      While the Leipzig Glossing Rules (LGR) provide general standards and principles for IGT, we have laid out here annotation methods for not-yet confirmed analyses as these are confirmed through iterative analysis.<\/p>\n

      When I (Chelliah) have spoken with linguistics students about corpus-building, there has always been a dissenting voice saying that the time investment is prohibitive. If you are working towards a degree in 4 years and one year is taken to build the corpus, then that is simply too dear a price to pay for better data.<\/p>\n

      This is a valid point. Corpus-building is time-consuming. In summarizing this textbook, we would like to point out the following:<\/p>\n

        \n
      1. New technologies speed up the process of corpus building at various stages.<\/li>\n
      2. The more IGT corpora available for related languages, the easier it will be to develop the conventions and structure for the creation of a new corpus.<\/li>\n
      3. Annotation methods such as hierarchical glossing provide a pathway to analysis.<\/li>\n
      4. Novice annotators, who otherwise feel the task is overwhelming, can use this method as a scaffold to move forward in creating corpora and improving analytic outcomes.<\/li>\n<\/ol>\n
        \n

        Discussion<\/p>\n

        Reflecting on the activities you have undertaken in the previous chapters, discuss how you might use IGT as tool for<\/p>\n

          \n
        1. Understanding grammar and improving description<\/li>\n
        2. Creating language teaching materials for increase in vocabulary, orthography development, and publications related to culture and literature<\/li>\n
        3. Creating a comparable corpus for understanding related languages<\/li>\n
        4. Speeding up annotation by preloading the FLEx Lexicon<\/li>\n<\/ol>\n<\/div>\n","protected":false},"author":19,"menu_order":8,"template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-107","chapter","type-chapter","status-publish","hentry"],"part":3,"_links":{"self":[{"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/pressbooks\/v2\/chapters\/107","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/wp\/v2\/users\/19"}],"version-history":[{"count":9,"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/pressbooks\/v2\/chapters\/107\/revisions"}],"predecessor-version":[{"id":338,"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/pressbooks\/v2\/chapters\/107\/revisions\/338"}],"part":[{"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/pressbooks\/v2\/parts\/3"}],"metadata":[{"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/pressbooks\/v2\/chapters\/107\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/wp\/v2\/media?parent=107"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/pressbooks\/v2\/chapter-type?post=107"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/wp\/v2\/contributor?post=107"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/openbooks.library.unt.edu\/sourcetoanalysis\/wp-json\/wp\/v2\/license?post=107"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}