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].

Let me give you an example: 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.
The answer to this example can be: es
Here is why: This review is written in spanish. Hence, the label is 'es'.

OK. solve this:
The authors of this work propose a learnable approach to reducing the dimensionality of learned filters in deep neural networks. This is an interesting approach, but the presented work looks a bit raw. 1. There are many typos in this manuscript. 2. The experimental results are rather weak and don't show much improvement in accuracy. Instead the authors could position this work as a compression mechanism and would have to compare to low rank approximation of filters for DNNs. Yet this is not done. 3. Aside from compression, OMG can be viewed as a form of regularization to reduce the unnecessary capacity of the network to improve generalization. Again, this is not addressed in enough detail. 4. If the authors care to compare their approach to other 1-shot learning methods, then they would have to evaluate their approach with siamese and triplet learning networks. This isn't done.
Answer:
en