![]() ![]() The changes are caused by inventions and ideas from outside the field, and also by the field’s own correlated philosophical, methodological, and technical evolution. To understand the future of our field, we need to understand its past, which we will describe as tribes of researchers migrating through a changing conceptual and socio-economic landscape. Computational Linguistics is an interdisciplinary topic that has been closer to Linguistics at times, but is currently closer to Computer Science (Engineering), and especially Machine Learning. One of the reviewers asked us to define the field in a way that will stand up to the test of time, but unfortunately, it is difficult to pigeonhole the field into traditional academic disciplines. Given this history of change, it is likely that there will be more changes in the future. Since then, the field has changed directions a number of times for a number of reasons, as will be discussed below. 2 Before that, the name of the society included the phrase, “Machine Translation,” a topic that was more popular before the ALPAC report ( Pierce and Carroll, 1966) than after the ALPAC report, especially among funding agencies in America, for reasons described by Hutchins (2003) among others. 1 The name of one of these venues, the Association for Computational Linguistics (ACL), was controversial in the 1960s. Given that different people have different views of what the field is, and even what it should be called, we will define the field of Computational Linguistics by what is discussed in top venues, using Google Scholar’s ranking of venues. We are going to speculate about the future of Computational Linguistics (CL)-how things may change, how we think things should change, and our view of the forces that will determine what actually happens. ![]()
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