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    • Token Distribution across Gender

    The following histogram captures the token distribution per different part-of-speech (POS) tags.

    Legend on the top-right shows the different values the Gender attribute takes.
    'NA' denotes those tokens which do not possess the Gender attribute.

    Gender

    Token examples for each POS:

     NOUN       PUNCT       VERB       ADJ       ADP       ADV       PRON       PROPN       CCONJ       PART       DET       SCONJ       NUM       AUX       SYM       X       INTJ      

    Gender agreement rules:

    The following decision tree visualizes the rules used for classifying presence/absence of morphological agreement between two tokens that are connected by a dependency relation denoted by relation. head-pos and child-pos refer to the POS tag of the head and child token respectively.

    Each node of the tree represents a portion of the data. samples denotes the number of training data points in that node. value is the class distribution within that node. Each edge denotes the feature used for splitting.
    Leaf nodes contain the description of all of the features that appear in that leaf. * denotes that the feature can take any value.

    Tree for p=0.01

    Click on to show summary of agreement rules.

    1. ADJ tokens agree with their head for the dependency relations: modifer(mod)

    2. All tokens agree with their head tokens for the dependency relations: subject (subj), orphan (orphan), conjunct (conj)

    3. DET tokens agree with their head for the dependency relations: anything(None)

    4. PROPN tokens agree when the dependent token belongs to [PROPN] for the dependency relations: flat multiword expression(flat@name)

    5. NOUN tokens agree when the dependent token belongs to [PROPN] for the dependency relations: appositional modifier(appos), vocative(vocative), parataxis(parataxis), compound(compound)

    6. NOUN tokens agree when the dependent token belongs to [NUM] for the dependency relations: modifer(mod@gov)

    7. AUX tokens agree when the dependent token belongs to [ADJ] for the dependency relations: predicative complements(comp:pred)

    8. VERB tokens agree when the dependent token belongs to [ADJ] for the dependency relations: direct object complements(comp:obj), underspecified dependency(udep)

    9. AUX tokens agree when the dependent token belongs to [PRON] for the dependency relations: subject(subj@pass)

    10. PRON tokens agree when the dependent token belongs to [ADJ] for the dependency relations: unk@fixed(unk@fixed)

    11. NOUN tokens agree when the dependent token belongs to [AUX] for the dependency relations: modifer(mod@relcl), determiner(det)

    12. PROPN tokens agree with their head for the dependency relations: flat multiword expression(flat)

    13. ADJ tokens agree when head token belongs to [ADJ, VERB] for the dependency relations: oblique complements(comp:obl)

    14. ADJ tokens agree when the dependent token belongs to [PRON] for the dependency relations: discourse element(discourse)

    Gender

    Examples for each leaf node:

     Leaf-0       Leaf-1       Leaf-2       Leaf-3       Leaf-4       Leaf-5       Leaf-6       Leaf-7       Leaf-8       Leaf-9       Leaf-10       Leaf-11       Leaf-12       Leaf-13       Leaf-14       Leaf-15       Leaf-16       Leaf-17       Leaf-18       Leaf-19      

    Click on to expand the tree.