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].

[EX Q]: Los autores hacen un análisis comparativo   entre diversas tecnologias para automación industrial. El análisis me pareció razonablemente profundo y amplio, pero lo califique como "weak accept" por no tener contribuciones científicas fuertes.  El texto necesita ser revisado, hay frases largas (por ejemplo la segunda del segundo parágrafo de la introducción tiene 11 líneas) y puntuaciones faltando o colocadas incorrectamente. La primera frase del segundo parágrafo de la introducción.  Incluir también el significado de las siglas PLC y PC.
[EX A]: es

[EX Q]: - Strengths: The paper addresses a relevant topic: learning the mapping between natural language and KB relations, in the context of QA (where we have only partial information for one of the arguments), and in the case of having a very large number of possible target relations.  The proposal consists in a new method to combine two different representations of the input text: a word level representation (i.e. with segmentation of the target relation names and also the input text), and relations as a single token (i.e without segmentation of relation names nor input text).   It seems, that the main contribution in QA is the ability to re-rank entities after the Entity Linking step.  Results show an improvement compared with the state of the art.   - Weaknesses: The approach has been evaluated in a limited dataset.   - General Discussion:  I think, section 3.1 fits better inside related work, so the 3.2 can become section 3 with the proposal. Thus, new section 3 can be splitted more properly.
[EX A]: en

[EX 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.
[EX A]:
en