spaCy/spacy/structs.pxd

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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
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attr_t lang
attr_t id
attr_t length
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attr_t orth
attr_t lower
attr_t norm
attr_t shape
attr_t prefix
attr_t suffix
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attr_t cluster
float prob
float sentiment
cdef struct SerializedLexemeC:
unsigned char[8 + 8*10 + 4 + 4] data
# sizeof(flags_t) # flags
# + sizeof(attr_t) # lang
# + sizeof(attr_t) # id
# + sizeof(attr_t) # length
# + sizeof(attr_t) # orth
# + sizeof(attr_t) # lower
# + sizeof(attr_t) # norm
# + sizeof(attr_t) # shape
# + sizeof(attr_t) # prefix
# + sizeof(attr_t) # suffix
# + sizeof(attr_t) # cluster
# + sizeof(float) # prob
# + sizeof(float) # cluster
# + sizeof(float) # l2_norm
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cdef struct Entity:
hash_t id
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int start
int end
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attr_t label
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cdef struct TokenC:
const LexemeC* lex
uint64_t morph
univ_pos_t pos
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bint spacy
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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
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attr_t ent_type # TODO: Is there a better way to do this? Multiple sources of truth..
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attr_t ent_kb_id
hash_t ent_id
# Internal struct, for storage and disambiguation of entities.
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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
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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