from libc.stdint cimport uint8_t, uint32_t, int32_t, uint64_t from .typedefs cimport flags_t, attr_t, hash_t from .parts_of_speech cimport univ_pos_t from libcpp.vector cimport vector from libc.stdint cimport int32_t, int64_t cdef struct LexemeC: flags_t flags attr_t lang attr_t id attr_t length attr_t orth attr_t lower attr_t norm attr_t shape attr_t prefix attr_t suffix cdef struct SpanC: hash_t id int start int end int start_char int end_char attr_t label attr_t kb_id cdef struct TokenC: const LexemeC* lex uint64_t morph univ_pos_t pos bint spacy attr_t tag int idx attr_t lemma attr_t norm int head attr_t dep uint32_t l_kids uint32_t r_kids uint32_t l_edge uint32_t r_edge int sent_start int ent_iob attr_t ent_type # TODO: Is there a better way to do this? Multiple sources of truth.. attr_t ent_kb_id hash_t ent_id cdef struct MorphAnalysisC: univ_pos_t pos int length attr_t abbr attr_t adp_type attr_t adv_type attr_t animacy attr_t aspect attr_t case attr_t conj_type attr_t connegative attr_t definite attr_t degree attr_t derivation attr_t echo attr_t foreign attr_t gender attr_t hyph attr_t inf_form attr_t mood attr_t negative attr_t number attr_t name_type attr_t noun_type attr_t num_form attr_t num_type attr_t num_value attr_t part_form attr_t part_type attr_t person attr_t polite attr_t polarity attr_t poss attr_t prefix attr_t prep_case attr_t pron_type attr_t punct_side attr_t punct_type attr_t reflex attr_t style attr_t style_variant attr_t tense attr_t typo attr_t verb_form attr_t voice attr_t verb_type # Internal struct, for storage and disambiguation of entities. cdef struct KBEntryC: # The hash of this entry's unique ID/name in the kB hash_t entity_hash # Allows retrieval of the entity vector, as an index into a vectors table of the KB. # Can be expanded later to refer to multiple rows (compositional model to reduce storage footprint). int32_t vector_index # Allows retrieval of a struct of non-vector features. # This is currently not implemented and set to -1 for the common case where there are no features. int32_t feats_row # log probability of entity, based on corpus frequency float freq # Each alias struct stores a list of Entry pointers with their prior probabilities # for this specific mention/alias. cdef struct AliasC: # All entry candidates for this alias vector[int64_t] entry_indices # Prior probability P(entity|alias) - should sum up to (at most) 1. vector[float] probs