GitLab

Fixes #657

For English News Corpus,
[Ling et al. (2015)](http://www.cs.cmu.edu/~lingwang/papers/emnlp2015.pdf)'s score is 
97.78 -> 97.44 (lower than SyntaxNet and Parsey Mcparseface)
according to [Andor et al. (2016)](http://arxiv.org/abs/1603.06042).

Updates to syntaxnet, including update tensorflow sub-module, bazel requirement and fix trainer crash (#479)

* syntaxnet: Cosmetic fixes recommended by python lint.

* syntaxnet: Fix crash in parser_trainer due to inconsistency between LexiconBuilder::Compute()
	   and context.pbtxt definition ('char-map' input declaration was missing).

* syntaxnet: reduce flakiness in GraphBuilderTest.

* syntaxnet: Update tensorflow submodule to version > 0.10.

* syntaxnet: Update to latest stable bazel (0.3.1).

This update comes partially to allow Tensorflow submodule to build
succesffuly. In this commit, I also update and simplify the WORKSPACE,
to avoid declaring dependencies already present in tensorflow.

* syntaxnet: Update bazel version check to require version 0.3.0

* syntaxnet: Document pip requirement, along with python mock module.

* Update README.md

Added alternative way to install bazel. Because people have been facing problem and by mistake they are downloading the latest version.

* Update README.md

* Adding scripts for tokenization and parsing in new languages.

* Adding references to @calberti and @andorardo to syntaxnet readme.

* Morpher and segmenter transition systems and new features (quotes, punctuation, capitalization, character ngrams, morphology attributes).

* Updating TF submodule to latest and adding a Dockerfile example.

* Extra \n in ./configure.

* Updating Dockerfile to use bazel 0.2.2b.

* Replacing a mention of treebank_union with PMP in the README.

* doc: Add instructions on installing numpy

* fix typo