You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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].

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.
Solution: es
Why? This review is written in spanish. Hence, the label is 'es'.

New input: This paper presents a method to learn both a model and inference procedure at the same time with recurrent neural networks in the context of inverse problems. The proposed method is interesting and results are quite good. The paper is also nicely presented. I would be happy to see some discussion about what the network learns in practice about natural images in the case of denoising. What are the filters like? Is it particularly sensitive to different structures in images? edges? Also, what is the state in the recurrent unit used for? when are the gates open etc. Nevertheless, I think this is nice work which should be accepted.
Solution:
en