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Parsing Data Generation

English WSJ

  1. Place a copy of the Penn Treebank (LDC99T42) in data/raw/treebank_3. After doing this, data/raw/treebank_3/parsed/mrg/wsj should have folders named 00-24.
  2. Place a copy of the revised Penn Treebank (LDC2015T13) in data/raw/eng_news_txt_tbnk-ptb_revised.
  3. Ensure that the active version of Python is Python 3 and has nltk and pytokenizations installed.
  4. cd data/wsj && ./build_corpus.sh

Processed trees are written to the following files:

File in data/wsj/ Description
train_02-21.LDC99T42 The standard training split for English constituency parsing publications.
train_02-21.LDC99T42.text Non-destructive tokenization of the training split, meaning that words retain their original spelling (without any escape sequences), and information about whitespace between tokens is preserved.
dev_22.LDC99T42 The standard development/validation split for English constituency parsing publications.
dev_22.LDC99T42.text Non-destructive tokenization of the development split.
test_23.LDC99T42 The standard test split for English constituency parsing publications.
test_23.LDC99T42.text Non-destructive tokenization of the test split.
train_02-21.LDC2015T13 English training sentences with revised tokenization and syntactic annotation guidelines. These revised guidelines were also used for other treebanks, including the English Web Treebank and OntoNotes.
train_02-21.LDC2015T13.text Non-destructive revised tokenization of the training sentences.
dev_22.LDC2015T13 English development/validation sentences with revised tokenization and syntactic annotation guidelines.
dev_22.LDC2015T13.text Non-destructive revised tokenization of the development sentences.
test_23.LDC2015T13 English test sentences with revised tokenization and syntactic annotation guidelines.
test_23.LDC2015T13.text Non-destructive revised tokenization of the test sentences.
train_02-21.LDC99T42.retokenized Syntatic annotations (labeled brackets) from the standard training split, overlaid on top of the revised tokenization.
dev_22.LDC99T42.retokenized Syntatic annotations (labeled brackets) from the standard development/validation split, overlaid on top of the revised tokenization.
test_23.LDC99T42.retokenized Syntatic annotations (labeled brackets) from the standard test split, overlaid on top of the revised tokenization.

Chinese Treebank (CTB 5.1)

This prepares the standard Chinese constituency parsing split, following recent papers such as Liu and Zhang (2017).

Instructions

  1. Place a copy of the Chinese Treebank 5.1 (LDC2005T01) in data/raw/ctb5.1_507K.
  2. Ensure that the active version of Python is Python 3 and has nltk installed.
  3. cd data/ctb_5.1 && ./build_corpus.sh

Processed trees are written to the following files:

File in data/ctb_5.1/ Description
ctb.train The standard training split for Chinese constituency parsing publications.
ctb.dev The standard development split for Chinese constituency parsing publications.
ctb.test The standard test split for Chinese constituency parsing publications.

Multilingual: SPMRL 2013/2014 Shared Task Data

The SPMRL shared tasks used treebanks for the following languages: Arabic, Basque, French, German, Hebrew, Hungarian, Korean, Polish, Swedish.

Instructions

  1. Copy or symlink the various SPMRL folders (ARABIC_SPMRL, BASQUE_SPMRL, etc.) into data/raw/.
  2. If you do not have access to the SPMRL data for Arabic, we provide an alternative and compatible preprocessing pipeline that starts directly with data from the LDC. To use this pipeline, place a copy of the Arabic Treebank Parts 1-3 (LDC2010T13, LDC2011T09, and LDC2010T08) in data/raw/atb1_v4_1, data/raw/atb_2_3.1, and data/raw/atb3_v3_2. The LDC data will be used automatically if the data/raw/ARABIC_SPMRL folder is not found.
  3. Ensure that the active version of Python is Python 3 and has nltk installed.
  4. cd data/spmrl && ./build_corpus.sh
Files in data/spmrl/ Description
Arabic.{train,dev,test} Arabic data for the SPMRL 2013/2014 Shared Tasks
Basque.{train,dev,test} Basque data for the SPMRL 2013/2014 Shared Tasks
French.{train,dev,test} French data for the SPMRL 2013/2014 Shared Tasks
German.{train,dev,test} German data for the SPMRL 2013/2014 Shared Tasks
Hebrew.{train,dev,test} Hebrew data for the SPMRL 2013/2014 Shared Tasks
Hungarian.{train,dev,test} Hungarian data for the SPMRL 2013/2014 Shared Tasks
Korean.{train,dev,test} Korean data for the SPMRL 2013/2014 Shared Tasks
Polish.{train,dev,test} Polish data for the SPMRL 2013/2014 Shared Tasks
Swedish.{train,dev,test} Swedish data for the SPMRL 2013/2014 Shared Tasks

Preprocessing notes for Arabic

The Arabic data used for the SPMRL shared tasks is licensed from the LDC, and it has at times been less available from other sources in SPMRL-preprocessed form. Fortunately, it is possible to use scripts that run SPMRL-compatible processing starting with the LDC sources. Our build_corpus.sh script will attempt this if the ARABIC_SPMRL folder is not found. The resulting tree files should be interchangeable with the original shared task data for the purposes of running EVALB.

Arabic constituency trees are from the Penn Arabic Treebank (PATB), parts 1, 2, and 3. The dataset splits follow Diab et al. (2013). The NYUAD Arabic UD treebank has dependency trees over the exact same sentences with the exact same splits, and the dataset preparation scripts will download the UD data to get the right splits.

The SPMRL-compatible preprocessing differs from the LDC version of ATB in the following ways:

  1. 27 training sentences, 1 development sentence, and 4 test sentences are removed.
  2. All sentences must have a syntactic label for the constituent that spans the full sentence. The ATB tree files are formatted to have one sentence per line, but there are lines that contain a series of sub-trees with no root node spanning them. In these cases, the SPMRL pre-processing inserted an XP node spanning the full sentence.
  3. Unary chains with X-over-X productions are collapsed (e.g. the two NPs in (NP (NP ...)) are combined). Nodes are only merged if they have identical labels including functional annotations.
  4. In the Buckwalter transliteration, all uses of the symbol "{" in the LDC version are replaced with the symbol "A".
  5. Note: the order of the sentences is not the same as in the NYUAD Arabic UD treebank, but the splits are the same excepting the deletion of some sentences per bullet point 1.

Our SPMRL-compatible preprocessing has a few minor differences from the actual data distributed as part of the SPMRL shared tasks. These discrepancies have no effect on the behavior of EVALB, so we have not gone to the effort of resolving them.

  1. The files include only the original part-of-speech tags from ATB, and do not additionally convert to any other tagset
  2. Our pre-processing scripts directly generate tree files without functional annotations, which are not used for evaluation. In contrast, the trees in the ARABIC_SPMRL include functional annotations -- but our parser strips these during preprocessing, anyway.