Abstract Bayesian phylogenetic methods provide a set of tools to efficiently evaluate large linguistic datasets by reconstructing phylogenies—family trees—that represent the history language families. These powerful way test hypotheses about prehistory, regarding subgrouping, origins, expansion, and timing languages their speakers. Through phylogenetics, we gain insights into process evolution ...

The syntax of English is largely a solved problem. Yet all natural language projects devote a large amount of their effort to developing grammars. The reason for this situation is that there is no very large, generally available grammar of English based on current technology-unification grammar. The solution is to develop a very broad-coverage National Resource Grammar in a unification formalis...

Since its inception in 2010, the Linguistic Data Consortium’s data scholarship program has awarded no cost grants in data to 64 recipients from 24 countries. A survey of the twelve cycles to date – two awards each in the Fall and Spring semesters from Fall 2010 through Spring 2016 – yields an interesting view into graduate program research trends in human language technology and related fields ...

This paper will discuss issues relevant to corpus development and publication at the LDC and will illustrate those issues by examining the history of three LDC corpora. This paper will also briefly examine alternative corpus creation and distribution methods and their challenges. The intent of this paper is to increase the available linguistic resources by describing the regulatory and technica...