It got "colorless green ideas sleep furiously," wrong.
I don't see how it got it wrong (and it would be surprising if it did given the sentence is not syntactically ambiguous). It does use a visual notation which, AFAIK, differs from the standard in linguistcs [0]. [0]: https://en.wikipedia.org/wiki/File:Syntax_tree_for_Colorless...
Watch a machine-learning system parse the grammatical structure of sentences
21–30 of 32 posts
Re: Watch a machine-learning system parse the grammatical structure of sentences
#22It got "colorless green ideas sleep furiously," wrong.
I don't see how it got it wrong (and it would be surprising if it did given the sentence is not syntactically ambiguous). It does use a visual notation which, AFAIK, differs from the standard in linguistcs [0]. [0]: https://en.wikipedia.org/wiki/File:Syntax_tree_for_Colorless...
Re: Watch a machine-learning system parse the grammatical structure of sentences
#23Re: Watch a machine-learning system parse the grammatical structure of sentences
#24Seems to fall for a lot of easy traps. Garden path sentences ("The old man the boats" or "The horse raced past the barn fell") are parsed wrong, and it parses the two sentences/phrases "When he did that I laughed" and "When he said that I laughed" identically - by interpreting "that" as a preposition in both cases, which it isn't. It's cool that it parses on the fly. But unless it parses correctly I don't see how it…
My favorite is "Fruit flies like honey." which trips this parser up as well.
Re: Watch a machine-learning system parse the grammatical structure of sentences
#25Re: Watch a machine-learning system parse the grammatical structure of sentences
#26It doesn't do well on the classic: https://en.wikipedia.org/wiki/Buffalo_buffalo_Buffalo_buffal...
Re: Watch a machine-learning system parse the grammatical structure of sentences
#27Seems to fall for a lot of easy traps. Garden path sentences ("The old man the boats" or "The horse raced past the barn fell") are parsed wrong, and it parses the two sentences/phrases "When he did that I laughed" and "When he said that I laughed" identically - by interpreting "that" as a preposition in both cases, which it isn't. It's cool that it parses on the fly. But unless it parses correctly I don't see how it…
It also fails on "British left waffles on Falklands." While there are two syntactic parsers for that, one of them borders on the absurd and should be rejected. The problem is that to parse some sentences requires understanding of the words and phrases it reads, which in turn requires common sense.
Re: Watch a machine-learning system parse the grammatical structure of sentences
#28Re: Watch a machine-learning system parse the grammatical structure of sentences
#29It doesn't do well on the classic: https://en.wikipedia.org/wiki/Buffalo_buffalo_Buffalo_buffal...
To be fair, if someone actually utters that sentence, I think most English speakers would reply with "I'm sorry?" or "Do you need help?"
Re: Watch a machine-learning system parse the grammatical structure of sentences
#30"The cat ate the farty bird" Sorry machine, "farty" is an adjective, not a noun.