mirror of https://github.com/explosion/spaCy.git
a365359b36
* Add convert CLI option to merge CoNLL-U subtokens Add `-T` option to convert CLI that merges CoNLL-U subtokens into one token in the converted data. Each CoNLL-U sentence is read into a `Doc` and the `Retokenizer` is used to merge subtokens with features as follows: * `orth` is the merged token orth (should correspond to raw text and `# text`) * `tag` is all subtoken tags concatenated with `_`, e.g. `ADP_DET` * `pos` is the POS of the syntactic root of the span (as determined by the Retokenizer) * `morph` is all morphological features merged * `lemma` is all subtoken lemmas concatenated with ` `, e.g. `de o` * with `-m` all morphological features are combined with the tag using the separator `__`, e.g. `ADP_DET__Definite=Def|Gender=Masc|Number=Sing|PronType=Art` * `dep` is the dependency relation for the syntactic root of the span (as determined by the Retokenizer) Concatenated tags will be mapped to the UD POS of the syntactic root (e.g., `ADP`) and the morphological features will be the combined features. In many cases, the original UD subtokens can be reconstructed from the available features given a language-specific lookup table, e.g., Portuguese `do / ADP_DET / Definite=Def|Gender=Masc|Number=Sing|PronType=Art` is `de / ADP`, `o / DET / Definite=Def|Gender=Masc|Number=Sing|PronType=Art` or lookup rules for forms containing open class words like Spanish `hablarlo / VERB_PRON / Case=Acc|Gender=Masc|Number=Sing|Person=3|PrepCase=Npr|PronType=Prs|VerbForm=Inf`. * Clean up imports |
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| .. | ||
| converters | ||
| __init__.py | ||
| convert.py | ||
| debug_data.py | ||
| download.py | ||
| evaluate.py | ||
| info.py | ||
| init_model.py | ||
| link.py | ||
| package.py | ||
| pretrain.py | ||
| profile.py | ||
| train.py | ||
| train_from_config.py | ||
| validate.py | ||