tlaplace

I just finished my 3rd year as a statistics major. I've become really interested in computational linguistics, especially probabilistic/statistical approaches to NLP. I'm thinking about applying to MS programs in Computational Linguistics, such as UW or Brandeis, to prepare for getting some sort of NLP job (I don't think my background would be enough to get one upon graduating). However, since I don't have much of an educational background in either CS or Linguistics, I'm worried about whether I have a shot at an MS. Overall I have a 3.8 GPA. As far as my math background, I've taken and gotten A's in: Calc 1-3 , Linear Algebra, Probability, Math Stat 1 and 2. Regarding my linguistics/language background, I've taken and gotten A's in: Intro Linguistics, Symbolic Logic, Deductive Systems, Model Theory, Philosophy of Language, and French 1-4. However, my CS background is lackluster; I've taken: Discrete Math (A-), Programming 1 (B+) and Programming 2 (B+). I can't fit in any more CS courses before graduating and am not in a position to get rec letters from any CS professors. However, I could get strong letters from statistics professors and the philosophy professors who taught me logic. Also, despite my programming grades I feel competent with Java, R, and Python and could compile a profile of (relatively basic) projects I've completed in those languages. So, I do feel prepared for an MS in CompLing but am not sure that my background clearly shows it. Do I have a shot? What could I do to strengthen my application?