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].

[Q]: this paper applies an advanced algorithm to gait control, but is seems that more explanations are needed for a clearer understanding and comparison with other traditional algorithms. It depends on two another papers for its complete understanding. The math is very well stated but I was unable to see the advantages or purpose of that math regarding gait control. Also, it is not clear for the reader how fast or slow is the calculation time regarding task time.
[A]: en


[Q]: Here is a summary of the reviews:    Strengths  Experiments are done on state-of-the-art networks, on a real speech recognition problem (R3, R1)  Networks themselves are of a very large size (R3)  Computational gains are substantial (R3, R4)  Paper is clear (R1)    Weaknesses  Experiments are all done on a private dataset (R3)  No comparison to other pruning approaches (e.g. Han et al.) (R3); AC notes that reviewers added new results which compare to an existing pruning method  No comparison to distillation techniques (R1)  Paper doesn't present much novelty in terms of ideas (R3)    The AC encouraged feedback from the reviewers following author rebuttal and paper improvements. Reviewers stated that the improvements made to the paper made it publishable but was still closer to the threshold. R1 who had originally rated the paper 3: a "clear reject" updated the score to 6 (just above acceptance).    Considering the reviews and discussions, the AC thinks that this paper is a poster accept. There are no serious flaws, the improvements made to the paper during the discussion paper have satisfied the reviewers, and this is an important topic with practical benefits; evaluated on a real large-scale problem.
[A]: en


[Q]: En este trabajo se realiza una propuesta para la identificación de riesgos relativos al proceso de outsourcing de software, para lo cual se diseña una taxonomía que es aplicada preliminarmente en una organización como forma de validación, aunque sólo en la forma de una encuesta de opinión.  Para robustecer el aporte científico sería ideal contar con una aplicación real que acompañe el proceso de outsourcing de comienzo a fin de modo de poder dimensionar de mejor manera el real aporte y efectividad de la taxonomía propuesta
[A]:
es