ailearning/docs/nlp/14.md

索引

• _

  • (phrasal) projections (3.2)

• A

  • accuracy (3.2)
  • address (4.5)
  • adjectives (2.6)
  • adverbs (2.6)
  • agreement (1.1)
  • alphabetic variants (4.2)
  • anaphora resolution (5.2)
  • anaphoric antecedent (5.1)
  • antecedent (5.2)
  • antonymy (5.3)
  • appending (2.1)
  • appropriate (5)
  • argument (2)
  • arity (3.3)
  • articles (2.6)
  • assignment (3.5)
  • associative array (3)
  • assumption (2)
  • atomic (1.3)
  • attribute value matrix (1.3)
  • auxiliaries (3.3)
  • auxiliary (1.3)

• B

  • backoff (4.3)
  • backtracks (4.1)
  • base case (4.7.1)
  • basic types (3.1)
  • bigrams (3.3)
  • binary predicate (3.1)
  • bind (3.1)
  • binding operators (4.5)
  • binning (5.3)
  • BIO Format (8)
  • Bold (X)
  • boolean (1.3)
  • boolean operators (2)
  • bottom-up (4.7.3)
  • bottom-up parsing (4.1)
  • bound (3.1)
  • bound (3.1)
  • breakpoints (4.6.4)

• C

  • call-by-value (4.4.2)
  • call (1.4)
  • call structure (4.7.3)
  • Catalan numbers (6.2)
  • characteristic function (3.4)
  • chart (4.4)
  • chart parsing (4.4)
  • child (4.2)
  • chink (2.5)
  • chink (8)
  • chunk grammar (2.1)
  • chunk (2)
  • chunking (2)
  • class label (1)
  • Classification (1)
  • closed class (7.4)
  • closed (3.1)
  • closures (3.4.2)
  • code point (3.3.1)
  • coindex (2)
  • collocation (3.3)
  • comparative wordlist (4.3)
  • complements (5.1)
  • complete (9)
  • complex (1.3)
  • complex types (3.1)
  • components (5.5)
  • concatenation (3.2.1)
  • conclusion (2)
  • conditional expression (4.3)
  • conditional frequency distribution (2)
  • conditional (6.3)
  • confusion matrix (3.4)
  • consecutive classification (1.6)
  • consistent (1.2)
  • constituent (2.1)
  • constituent structure (2.1)
  • control (4)
  • control structure (4.3)
  • Cooper storage (4.5)
  • coordinate structure (2.1)
  • copy (4.1.1)
  • coreferential (3.1)
  • corpora (0)
  • Corpus Linguistics (7)
  • cross-validation (3.5)

• D

  • data intensive (I)
  • debugger (4.6.4)
  • decision nodes (4)
  • decision stump (4)
  • decision tree (4)
  • decoding (3.3.1)
  • defensive programming (4.4.4)
  • dependents (5)
  • determiners (2.6)
  • dev-test (1.2)
  • development set (1.2)
  • dialogue acts (2.2)
  • dictionary (3)
  • dictionary (3.2)
  • directed acyclic graphs (2)
  • discourse (5)
  • discourse referents (5.1)
  • discourse representation structure (5.1)
  • dispersion plot (1.3)
  • divide-and-conquer (4.7)
  • docstring (4.4)
  • doctest block (4.4.6)
  • domain (3.4)
  • DRS conditions (5.1)
  • duck typing (4.3)
  • dynamic programming (4.4)

• E

  • empiricism (II)
  • encode (1.1)
  • encoding (3.3.1)
  • entails (5.3)
  • equivalent (2)
  • error analysis (1.2)
  • evaluation set (3.1)
  • existential quantifier (3.1)
  • Expected Likelihood Estimation (5.2)
  • export (3.9.2)

• F

  • F-Measure (3.3)
  • F-Score (3.3)
  • f-structure (5)
  • False negatives (3.3)
  • False positives (3.3)
  • feature extractor (1.1)
  • feature (1.2)
  • feature path (2)
  • feature set (1.1)
  • feature structures (1)
  • features (1.1)
  • fields (4.2.2)
  • filler (3.4)
  • folds (3.5)
  • formal language theory (I)
  • format string (3.9.2)
  • free (3.1)
  • frequency distribution (3.1)
  • function (3.2)

• G

  • gaps (3.4)
  • gazetteer (5)
  • generalized quantifiers (8)
  • generative grammar (8)
  • generative (6.3)
  • generator expression (4.2.3)
  • gerund (7.1)
  • Glue semantics (7)
  • glyphs (3.3.1)
  • gold standard (4.4)
  • graphs (4.8.2)
  • greedy sequence classification (1.6)

• H

  • hapaxes (3.1)
  • hash array (3)
  • head features (6)
  • head (5)
  • headword (4)
  • Heldout Estimation (5.2)
  • Hidden Markov Models (1.7)
  • Hole semantics (7)
  • holonyms (5.3)
  • homonyms (4)
  • hyponyms (5.2)

• I

  • idealism (II)
  • identifiers (2.3)
  • immediate constituents (2.1)
  • immutable (4.2.2)
  • inconsistent (1.2)
  • indented code block (1.4)
  • independence assumption (5.1)
  • index (2.2)
  • inference (2)
  • Information Extraction (1)
  • information gain (4.1)
  • Inline annotation (3.5)
  • interpreter (1.1)
  • IOB tags (2.6)
  • iterative optimization (6)

• J

  • joint classifier (1.6)
  • joint-feature (6.1)

• K

  • Kappa (2.2)
  • key (3.2)
  • keyword arguments (4.5.4)
  • Kleene closures (3.4.2)

• L

  • lambda expressions (4.5.1)
  • latent semantic analysis (4.8.4)
  • leaf nodes (4)
  • left-corner (4.3)
  • left-corner parser (4.3)
  • left-recursive (3.3)
  • lemma (4)
  • letter trie (4.7.1)
  • lexical acquisition (9)
  • lexical categories (0)
  • lexical entry (4)
  • lexical relations (5.3)
  • lexicon (10)
  • LGB rule (4.4.3)
  • library (3.3)
  • licensed (3.4)
  • likelihood ratios (1.1)
  • Linear-Chain Conditional Random Field Models (1.7)
  • list (2.1)
  • local variables (3.2)
  • logical constants (3.1)
  • logical form (2)

• M

  • machine translation (5.3)
  • mapping (3)
  • maximal projection (3.2)
  • Maximum Entropy (6)
  • Maximum Entropy Markov Models (1.7)
  • Maximum Entropy principle (6.2)
  • meronyms (5.3)
  • methods (3.2)
  • modals (2.6)
  • model checking (3.5)
  • model (1.2)
  • models (7)
  • module (3.3)
  • morpho-syntactic (7.5)
  • morphological analysis (7.5)
  • multiword expression (3.11)
  • mutable (4.2.2)

• N

  • n-gram tagger (5.3)
  • naive Bayes assumption (5.1)
  • naive Bayes (5)
  • named entity detection (1.1)
  • named entity recognition (5)
  • newlines (3.1.5)
  • NLTK Data Repository (6.3)
  • non-logical constants (3.1)
  • non-standard words (3.6.2)
  • normalized (3.6)
  • noun phrase chunking (2.1)
  • noun phrase (II)
  • NP-chunking (2.1)

• O

  • objective function (3.8.2)
  • open class (7.4)
  • open formula (3.1)
  • out-of-vocabulary (5.5)
  • overfit (4.1)
  • overfitting (1.2)

• P

  • package (3.3)
  • parameter (1.4)
  • parameters (5.5)
  • parent (4.2)
  • parser (4)
  • part-of-speech tagging (0)
  • partial information (2.1)
  • parts of speech (0)
  • personal pronouns (2.6)
  • phonology (I)
  • phrasal level (3.2)
  • POS-tagger (1)
  • POS-tagging (0)
  • pre-sort (4.7)
  • Precision (3.3)
  • precision/recall trade-off (5.3)
  • predicates (3.1)
  • prepositional phrase attachment ambiguity (3.1)
  • prepositional phrase (2.1)
  • present participle (7.1)
  • principle of compositionality (I)
  • prior probability (5)
  • probabilistic context free grammar (6.3)
  • productions (1.1)
  • projective (5)
  • proof goal (3.2)
  • Propositional logic (2)
  • propositional symbols (2)
  • prune (4.1)

• Q

  • question answering (5.3)

• R

  • rationalism (II)
  • raw string (3.4.2)
  • realism (II)
  • Recall (3.3)
  • recognizing (4.4)
  • record (4.2.2)
  • recursion (4.7.1)
  • recursive (3.3)
  • reduce (4.2)
  • reentrancy (2)
  • refactor (4.4.5)
  • regression testing (4.6.5)
  • relation detection (1.1)
  • relational operators (4.1)
  • replacement field (3.9.2)
  • return value (3.2)
  • root element (4.3)
  • root node (4)
  • runtime error (2.2)

• S

  • S-Retrieval (4.5)
  • satisfies (3.5)
  • scope (3.7)
  • segmentation (3.8)
  • semantic role labeling (5.2)
  • sequence classifier (1.6)
  • sequence (3.2.6)
  • shift (4.2)
  • shift-reduce parser (4.2)
  • siblings (4.2)
  • signature (3.1)
  • slash categories (3.4)
  • slicing (2.2)
  • smoothing (5.2)
  • stack trace (4.6.4)
  • standoff annotation (2.3)
  • standoff annotation (3.5)
  • start-symbol (3.1)
  • stopwords (4.1)
  • string formatting (3.9.2)
  • string (3.2)
  • strings (2.4)
  • structurally ambiguous (3.1)
  • structure sharing (2)
  • structured data (1)
  • stylistics (1.3)
  • subcategorized (5.1)
  • subsumption (2.1)
  • subtype (5)
  • supervised (1)
  • Swadesh wordlists (4.3)
  • symbolic logic (I)
  • synonyms (5.1)
  • synset (5.1)
  • syntax error (1.1)

• T

  • T9 (3.4.2)
  • tag (2)
  • tag patterns (2.2)
  • tagged (2.2)
  • tagging (0)
  • tagset (0)
  • terms (3.1)
  • test set (1.1)
  • test set (3.1)
  • text alignment (5.4)
  • textonyms (3.4.2)
  • token (1.4)
  • tokenization (3.1.1)
  • top-down (4.7.3)
  • top-down parsing (4.1)
  • total likelihood (6)
  • train (5.1)
  • training (5.1)
  • training set (1.1)
  • training set (1.2)
  • transitive verbs (5.1)
  • tree (4.2)
  • True negatives (3.3)
  • True positives (3.3)
  • truth-conditions (2)
  • tuple (4.2)
  • Turing Test (5.5)
  • Type I errors (3.3)
  • Type II errors (3.3)
  • type-raising (4.3)
  • Typed feature structures (5)
  • types (3.1)

• U

  • unary predicate (3.1)
  • unbounded dependency construction (3.4)
  • underspecified (1.2)
  • unification (2.1)
  • unique beginners (5.2)
  • universal quantifier (3.1)
  • unseen (7)
  • unstructured data (1)

• V

  • valencies (5.1)
  • valid (2)
  • validity (4.1)
  • valuation function (3.4)
  • value (3.2)
  • variable (2.3)
  • verb phrase (2.1)

• W

  • weights (5.5)
  • well formed formulas (2)
  • well formed (4.1)
  • well-formed substring table (4.4)
  • wildcard (3.4.1)
  • word classes (0)
  • word sense disambiguation (5.1)
  • word type (1.4)
  • WordNet (5)

• X

  • XML attribute (4.1)
  • XML element (4.1)

• Z

  • zero projection (3.2)

• Α

  • α-conversion (4.2)
  • α equivalents (4.2)

• Β

  • β-reduction (4.2)

• Λ

  • λ abstraction (4.2)
  • λ operator (4.2)

关于本文档...

针对 NLTK 3.0 作出更新。本章来自于《Python 自然语言处理》，Steven Bird, Ewan Klein 和 Edward Loper，Copyright © 2014 作者所有。本章依据 Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States License 条款，与自然语言工具包 3.0 版一起发行。

本文档构建于星期三 2015 年 7 月 1 日 12:30:05 AEST