<p>Hi,
I intend to apply to linguistics in several schools, and I am a foreign student.
I got a 760 on the quantative and 530 on the verbal part, I have not got my analythical writing scores yet.</p>
<p>The thing is that I want to get into a good school and get a scholarship (otherwise I cannot affoard school in America).</p>
<p>I am aiming for schools such as Brown university, Cornell, U-Penn, and I also thought about giving Stanford a shot (although I know that Stanford is highly competitive, and I prabably do not stand that much of a chance there...).</p>
<p>I am currnlty graduating an MA in Linguistics (from Israel, probably with an excellent GPA), and before that I graduated a B.Sc in Computer Sciences and Mathematics (with only an average GPA). </p>
<p>I am worried that perhaps being a computer science graduate 760 on the quantative might be a bit low (although I am not aiming at computer science departments).</p>
<p>In general, what are my chances of getting accepted? Should I retake the test? (I doubt it that I coud do any better on the verbal, but perhaps I could score a bit higher on the quantative...)</p>
<p>First, read "Grad School Admissions 101" (Everything of interest is in the first two pages.)</p>
<p>Virtually all PhD programs will be funded (tuition, fees, stipend). There is no reason to accept an unfunded offer.</p>
<p>Your Quant is fine. The Verbal is a bit below average for Linguistics, but schools will cut you a huge amount of slack if you are not a native speaker of English.</p>
<p>Your MA performance will be the major factor in admissions along with your LORs and statement. Grad admissions has a very large "fit" component so talk to your professors about your research interests and where they think you'll fit. Then research the faculty at those schools - personal statements often mention how one's interests fit with the target program's faculty.</p>
<p>Semantics, preferrably computational semantics. NLP (from the linguistics point of view). So far I have mainly done research on Semantics (focus on computational), and a bit of Syntax.</p>