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One of the tasks language documenters face is that of assigning glosses to function morphemes, including affixes. These glosses are typically used in marking up interlinear text at a morpheme level. But without a morphological parser, marking up interlinear text is tedious and error-prone. Ideally, a parser will be guided not only by the form and(More)
Advances in statistical machine learning encourage language-independent approaches to linguistic technology development. Experiments in "porting" technologies to handle new natural languages have revealed a great potential for multilingual computing, but also a frustrating lack of linguistic resources for most languages. Recent efforts to address the lack(More)
Recently, there has been a proliferation of research into the acquisition of morphological grammars—that is, grammars and lexicons required for computer-based morphological analysis and synthesis. The approaches to acquiring such grammars range from tools which structure data provided by native speakers and linguists, to unsupervised machine learning.(More)
It is time for grammatical descriptions to become reproducible research. In order for this to happen, grammar descriptions must be testable, not only by the original author, but also by other linguists. Given the complexity of natural language grammars, and the ambiguity of prose descriptions, that testing is best done using computational tools to verify a(More)
A common format for lexicons produced in field linguistics projects uses a markup code before each field. The end of each field is implicit, being represented by the markup code for the next field. This markup format, commonly called " Standard Format Code(s) " (SFM), is used in one of the most common lexicography tools used by field linguists, Shoebox.(More)
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