element to the stem: Punctuation In interlinear morphological glosses, various forms of punctuation separate the glosses. Typically, the words are aligned with their glosses; within words, a hyphen is used when a boundary is marked in both the text and its gloss, a period when a boundary appears in only one. That is, there should be the same number of words separated with spaces in the text and its gloss, as well as the same number of hyphenated morphemes within a word and its gloss. This is the basic system, and can be applied universally. For example, An underscore may be used instead of a period, as in go_out-, when a single word in the source language happens to correspond to a phrase in the glossing language, though a period would still be used for other situations, such as Greek oikíais house. 'to the houses'. However, sometimes finer distinctions may be made. For example, clitics may be separated with a double hyphen (or, for ease of typing, an equal sign) rather than a hyphen: Affixes which cause discontinuity (infixes, circumfixes, transfixes, etc.) may be set off by angle brackets, and reduplication with tildes, rather than with hyphens: (See affix for other examples.) Morphemes which cannot be easily separated out, such as umlaut, may be marked with a backslash rather than a period: A few other conventions which are sometimes seen are illustrated in the Leipzig Glossing Rules. Interlinear gloss resources Efforts have been undertaken to digitize IGT for hundreds of the world's languages. Online Database of Interlinear Text The Online Database of Interlinear Text (ODIN) is a database of over 200,000 instances of interlinear glosses for more than 1,500 languages extracted from scholarly linguistic research. The database was constructed in two phases: automatic construction followed by manual correction. The automatic construction stage itself was completed in three steps: First, search engines (e.g., Google, Bing) were queried to retrieve scholarly documents that were likely to contain interlinear glosses. The queries comprised terms relevant to linguistic research such as grammatical morphemes (e.g., "NOM"—shorthand for nominative; "3SG"—shorthand for 3rd person singular). Second, each line in an extracted document was tagged for whether it was a line belonging to an interlinear gloss or not using sequence-labeling methods from Machine Learning. Third, each interlinear gloss instance was assigned a language name (e.g., Tagalog) and an ISO 693-3 language ID. Language names and IDs were automatically