text: 483,102,1182010216314880000,3743366715,Aaron Mueller,"new #emnlp2019 paper with @aryamccarthy, @amuuueller, David Yarowsky, and others --- we quantify what it means to be a basic color term cross-lingually, finding that Berlin & Kay (1969) were *mostly* right, if a little Indo-Euro-centric: <LINK> <LINK> @aryamccarthy we also find that we can quantitatively recover the exact order of color term acquisition proposed in B&K using their criteria! Interestingly, none of the criteria alone are enough to recover these; we need all of them <LINK>",https://arxiv.org/abs/1910.01531,"There is an extensive history of scholarship into what constitutes a ""basic"" color term, as well as a broadly attested acquisition sequence of basic color terms across many languages, as articulated in the seminal work of Berlin and Kay (1969). This paper employs a set of diverse measures on massively cross-linguistic data to operationalize and critique the Berlin and Kay color term hypotheses. Collectively, the 14 empirically-grounded computational linguistic metrics we design---as well as their aggregation---correlate strongly with both the Berlin and Kay basic/secondary color term partition (gamma=0.96) and their hypothesized universal acquisition sequence. The measures and result provide further empirical evidence from computational linguistics in support of their claims, as well as additional nuance: they suggest treating the partition as a spectrum instead of a dichotomy. ",Modeling Color Terminology Across Thousands of Languages,2,"['new #emnlp2019 paper with @aryamccarthy, @amuuueller, David Yarowsky, and others --- we quantify what it means to be a basic color term cross-lingually, finding that Berlin &amp; Kay (1969) were *mostly* right, if a little Indo-Euro-centric: <LINK> <LINK>', '@aryamccarthy we also find that we can quantitatively recover the exact order of color term acquisition proposed in B&amp;K using their criteria! Interestingly, none of the criteria alone are enough to recover these; we need all of them https://t.co/WPZsHaEpZf']",19,10,491