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: The paper extends the NTM by a trainable memory addressing scheme. The paper also investigates both continuous/differentiable as well as discrete/non-differentiable addressing mechanisms. Pros: * Extension to NTM with trainable addressing. * Experiments with discrete addressing. * Experiments on bAbI QA tasks. Cons: * Big gap to MemN2N and DMN+ in performance. * Code not available. * There could be more experiments on other real-world tasks.
Solution:
en