In this task, you are given a paper review. Based on the review, your job is to identify language and generate "en" if the review is in English or generate "es" if the review is in Spanish. Note that URLs in the text have been replaced with [Link].

Example input: Este articulo no es un articulo de investigacion, ya que solo muestra como programar un robot mediante la herramienta de logica difusa. Este tema ya ha sido propuesto como solucion en navegacion de robots.
Example output: es
Example explanation: This review is written in spanish. Hence, the label is 'es'.
Q: I agree with the other reviewer that the application areas are limited in the paper. I agree with the overall sentiment of the paper to evaluate effectiveness of some of the more recent techniques in this area, in conjunction with the recurrent networks. The paper advertises itself as a method (or a list of methods) of improving the recurrent baselines when performing experiments, however fails (or not shown) to generalize to other tasks. Effectiveness of these methods need to be shown across a wide variety of tasks if we intend to replace traditional baselines in general, rather than a specific subset of applications. I like the desire to evaluate many of the recent techniques and having many replications of experiments towards this end (which is a strong point of the paper). However, whether there are synergies of some of the enhancements with sentiment analysis or not, we cannot see from these results. It would be interesting to see whether some of these results generalize across a wide variety of tasks.
A:
en