Teacher: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].
Teacher: Now, understand the problem? Solve this instance: - Strengths: The paper broadens the applicability of readability scores to an additional language, and produces a well-validated applicability score for Vietnamese. - Weaknesses: The greatest weaknesses, with respect to ACL are that 1) readability scores are of limited interest within the field of computational linguistics. While they are somewhat useful in educational and public communication fields, their impact on the progress of computational linguistics is limited. A minor weakness is in the writing: the paper has numerous minor grammatical errors. Although the discussion compares the performance of the PDS1 and PDW1 features from the previous work, it is unclear how poorly the previous readability measures perform, relevant to the one developed here, for practical purposes. - General Discussion: This paper would be a stronger candidate for inclusion if the corpus (and importantly, labels developed) were released. It could be used more widely than the development of scalar readability metrics, and would enable (e.g.) investigation of application of more powerful feature-selection methods.
Student:
en