Answer the question about the paper after reading it carefully. To evaluate if the Transformer can generalize to other tasks we performed experiments on English constituency parsing. This task presents specific challenges: the output is subject to strong structural constraints and is significantly longer than the input. Furthermore, RNN sequence-to-sequence models have not been able to attain state-of-the-art results in small-data regimes. Question: What is English constituency parsing?

Thank you for asking ! English constitu ency parsing is a task in natural language processing ( N LP ) that involves analyz ing the structure of sentences in the English language . Specifically , it involves ident ifying the different parts of a sentence , such as n oun phr ases , verb phr ases , and ad jective phr ases , and understanding how they are related to each other . This task can be challeng ing because English sentences can be quite complex and can have a variety of different structures . \n In the context of the paper you mentioned , the authors are using English constitu ency parsing to evaluate the ability of the Trans former model to general ize to different tasks . By testing the model ' s ability to parse English sentences , they can gain ins ights into its overall performance and limitations . \n I hope that helps clarify things ! Let me know if you have any other questions . </s>