{"action":"created","issue":{"url":"https://api.github.com/repos/spacy-io/spaCy/issues/432","repository_url":"https://api.github.com/repos/spacy-io/spaCy","labels_url":"https://api.github.com/repos/spacy-io/spaCy/issues/432/labels{/name}","comments_url":"https://api.github.com/repos/spacy-io/spaCy/issues/432/comments","events_url":"https://api.github.com/repos/spacy-io/spaCy/issues/432/events","html_url":"https://github.com/spacy-io/spaCy/issues/432","id":161335960,"number":432,"title":"Add a way to use syntaxnet's engine as a parser","user":{"login":"tianshuo","id":232424,"avatar_url":"https://avatars.githubusercontent.com/u/232424?v=3","gravatar_id":"","url":"https://api.github.com/users/tianshuo","html_url":"https://github.com/tianshuo","followers_url":"https://api.github.com/users/tianshuo/followers","following_url":"https://api.github.com/users/tianshuo/following{/other_user}","gists_url":"https://api.github.com/users/tianshuo/gists{/gist_id}","starred_url":"https://api.github.com/users/tianshuo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/tianshuo/subscriptions","organizations_url":"https://api.github.com/users/tianshuo/orgs","repos_url":"https://api.github.com/users/tianshuo/repos","events_url":"https://api.github.com/users/tianshuo/events{/privacy}","received_events_url":"https://api.github.com/users/tianshuo/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":6,"created_at":"2016-06-21T02:19:40Z","updated_at":"2016-08-10T11:54:24Z","closed_at":null,"body":"I've already installed syntaxnet but found that syntaxnet only provides POS and syntax parser, eg. it is not possible to find the lemma for words. Is there a way to connect spacy with syntaxnet as you mention in your blog post?"},"comment":{"url":"https://api.github.com/repos/spacy-io/spaCy/issues/comments/238844518","html_url":"https://github.com/spacy-io/spaCy/issues/432#issuecomment-238844518","issue_url":"https://api.github.com/repos/spacy-io/spaCy/issues/432","id":238844518,"user":{"login":"syllog1sm","id":781165,"avatar_url":"https://avatars.githubusercontent.com/u/781165?v=3","gravatar_id":"","url":"https://api.github.com/users/syllog1sm","html_url":"https://github.com/syllog1sm","followers_url":"https://api.github.com/users/syllog1sm/followers","following_url":"https://api.github.com/users/syllog1sm/following{/other_user}","gists_url":"https://api.github.com/users/syllog1sm/gists{/gist_id}","starred_url":"https://api.github.com/users/syllog1sm/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/syllog1sm/subscriptions","organizations_url":"https://api.github.com/users/syllog1sm/orgs","repos_url":"https://api.github.com/users/syllog1sm/repos","events_url":"https://api.github.com/users/syllog1sm/events{/privacy}","received_events_url":"https://api.github.com/users/syllog1sm/received_events","type":"User","site_admin":false},"created_at":"2016-08-10T11:54:24Z","updated_at":"2016-08-10T11:54:24Z","body":"Ps: anyone feeling a little exploratory can also find an implementation of\na feed-forward neural CRF parser in the july16 branch. This requires the\nparser_nn_2016 branch of thinc. The script to train it is at\nbin/parser/conll_train.py\n\nThis model is broadly similar to the most accurate syntaxnet model. I've\nbeen using it to train very low memory models. So far I've managed to get a\nparser down to around 60mb, beating the accuracy of the current linear\nmodel. This would cut spaCy's memory use down to under 500mb.\n\nThe model naturally suports a cache, so users can control the space/speed\ntradeoff at runtime. I haven't benchmarked for efficiency yet, but the\nmodel is training in a few hours on a single CPU thread, so it can't be too\nterrible.\n\nThere are really only a few outstanding issues. The main one is a memory\nerror --- it's crashing on exit, so I've stuffed something up somewhere.\nWindows support will also be a huge mess. I've also found a couple of bugs,\nand there are hyper-parameters to tune...\n\nAs I mentioned in another thread, I'll be mostly afk the next week, as I'm\nout of town. And I've been making promises about this damn neural network\nmodel for too long :). There will be tonnes to do when I get back, and some\nannoying resource constraints to juggle, so I'm reluctant to promise a\nrelease date. But I'll definitely be saying more about it when I get back\n:).\n\n\nOn Wednesday, August 10, 2016, Matthew Honnibal <notifications@github.com>\nwrote:\n\n> Honestly the BIST parser is much better. Yes it's less mature, but the\n> accuracy is the same and there are almost no hyper-parameters. Training on\n> the other Universal Dependencies corpora should be no problem.\n>\n> In the meantime, it's probably easiest to pipe through SyntaxNet and set\n> the parses onto spaCy Doc objects with the doc.from_array method. A\n> deserialiser that reads syntaxnet's protobuf format would also be super\n> nice.\n>\n> On Wednesday, August 10, 2016, Adam Mathias Bittlingmayer <\n> notifications@github.com\n> <javascript:_e(%7B%7D,'cvml','notifications@github.com');>> wrote:\n>\n> > Even more tantalising now that they released models for 40 more\n> languages.\n> >\n> > —\n> > You are receiving this because you commented.\n> > Reply to this email directly, view it on GitHub\n> > <https://github.com/spacy-io/spaCy/issues/432#issuecomment-238823465>,\n> or mute\n> > the thread\n> > <https://github.com/notifications/unsubscribe-auth/\n> AHr7ZmZCr8bBu4glT5BiHj3ra7QsrJaYks5qeaMbgaJpZM4I6TWT>\n> > .\n> >\n>\n> —\n> You are receiving this because you are subscribed to this thread.\n> Reply to this email directly, view it on GitHub\n> <https://github.com/spacy-io/spaCy/issues/432#issuecomment-238838357>, or mute\n> the thread\n> <https://github.com/notifications/unsubscribe-auth/AAvrbWhVzsyUSjrq1terI6-QyLj8Owkuks5qebQqgaJpZM4I6TWT>\n> .\n>\n"}}
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