Merge pull request #3185 from lissyx/doc-generate-scorer

Doc generate scorer

doc/BUILDING.rst

@@ -77,6 +77,20 @@ You can now use Bazel to build the main DeepSpeech library, ``libdeepspeech.so``
 
 The generated binaries will be saved to ``bazel-bin/native_client/``.
 
+.. _build-generate-scorer-package:
+
+Compile ``generate_scorer_package``
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Following the same setup as for ``libdeepspeech.so`` above, you can rebuild the ``generate_scorer_package`` binary by adding its target to the command line: ``//native_client:generate_scorer_package``.
+Using the example from above you can build the library and that binary at the same time:
+
+.. code-block::
+
+   bazel build --workspace_status_command="bash native_client/bazel_workspace_status_cmd.sh" --config=monolithic -c opt --copt=-O3 --copt="-D_GLIBCXX_USE_CXX11_ABI=0" --copt=-fvisibility=hidden //native_client:libdeepspeech.so //native_client:generate_scorer_package
+
+The generated binaries will be saved to ``bazel-bin/native_client/``.
+
 Compile Language Bindings
 ^^^^^^^^^^^^^^^^^^^^^^^^^
 

doc/Scorer.rst

@@ -49,6 +49,9 @@ Afterwards you can use ``generate_scorer_package`` to generate the scorer packag
     ./generate_scorer_package --alphabet ../alphabet.txt --lm lm.binary --vocab vocab-500000.txt \
       --package kenlm.scorer --default_alpha 0.931289039105002 --default_beta 1.1834137581510284
 
+The ``generate_scorer_package`` binary is part of the released ``native_client.tar.xz``. If for some reason you need to rebuild it,
+please refer to how to :ref:`build-generate-scorer-package`.
+
 Building your own scorer
 ------------------------
 

doc/TRAINING.rst

@@ -287,6 +287,8 @@ UTF-8 mode
 DeepSpeech includes a UTF-8 operating mode which can be useful to model languages with very large alphabets, such as Chinese Mandarin. For details on how it works and how to use it, see :ref:`decoder-docs`.
 
 
+.. _training-data-augmentation:
+
 Augmentation
 ^^^^^^^^^^^^