General Natural Language Processing Concepts
- Anaphora – type of expression whose reference depends upon another referential element. E.g., in the sentence 'Sally preferred the company of herself', 'herself' is an anaphoric expression in that it is coreferential with 'Sally', the sentence's subject.
- Semantic analysis (computational) –
- Explicit semantic analysis –
- Latent semantic analysis –
- Semantic analytics –
- Context-free language –
- Controlled natural language – a natural language with a restriction introduced on its grammar and vocabulary in order to eliminate ambiguity and complexity
- Foreign language reading aid –
- Foreign language writing aid –
- Language technology –
- LRE Map –
- Natural language –
- Reification (linguistics) –
- Semantic Web –
- Metadata –
- Spoken dialogue system –
- Affix grammar over a finite lattice –
- Aggregation (linguistics) –
- Bag-of-words model –
- Bigram –
- Brill tagger –
- Cache language model –
- ChaSen –
- Classic monolingual WSD –
- ClearForest –
- CMU Pronouncing Dictionary – also known as cmudict, is a public domain pronouncing dictionary designed for uses in speech technology, and was created by Carnegie Mellon University (CMU). It defines a mapping from English words to their North American pronunciations, and is commonly used in speech processing applications such as the Festival Speech Synthesis System and the CMU Sphinx speech recognition system.
- Computational semantics –
- Concept mining –
- Content determination –
- DATR –
- DBpedia Spotlight –
- Deep linguistic processing –
- DELPH-IN –
- Discourse relation –
- Document-term matrix –
- Dragomir R. Radev –
- ETBLAST –
- Filtered-popping recursive transition network –
- Robby Garner –
- GeneRIF –
- Gorn address –
- Grammar –
- Context-free grammar (CFG) –
- Constraint grammar (CG) –
- Definite clause grammar (DCG) –
- Functional unification grammar (FUG) –
- Generalized phrase structure grammar (GPSG) –
- Head-driven phrase structure grammar (HPSG) –
- Lexical functional grammar (LFG) –
- Probabilistic context-free grammar (PCFG) – another name for stochastic context-free grammar.
- Stochastic context-free grammar (SCFG) –
- Systemic functional grammar (SFG) –
- Tree-adjoining grammar (TAG) –
- Grammar induction –
- Grammatik –
- Hashing-Trick –
- Hidden markov model –
- Human language technology –
- Information extraction –
- International Conference on Language Resources and Evaluation –
- Kleene star –
- Language Computer Corporation –
- Language model –
- Languageware –
- Latent semantic mapping –
- Legal information retrieval –
- Lesk algorithm –
- Lessac Technologies –
- Lexalytics –
- Lexical choice –
- Lexical Markup Framework –
- Lexical substitution –
- Lexxe –
- LKB –
- Logic form –
- LRE Map –
- Machine translation software usability –
- MAREC –
- Maximum entropy –
- Message Understanding Conference –
- METEOR –
- Minimal recursion semantics –
- Modular Audio Recognition Framework –
- Morphological pattern –
- Multi-document summarization –
- Multilingual notation –
- N-gram –
- Naive semantics –
- Named entity recognition –
- Natural language interface –
- Natural Language Toolkit –
- Natural language user interface –
- Natural language –
- NetBase Solutions, Inc. –
- News analytics –
- Noisy text analytics –
- Nondeterministic polynomial –
- NooJ –
- Ontology learning –
- Open domain question answering –
- OpenNLP –
- Optimality theory –
- Paco Nathan –
- Phrase structure grammar –
- Powerset (company) –
- Production (computer science) –
- PropBank –
- Question answering –
- Realization (linguistics) –
- Recursive transition network –
- Referring expression generation –
- Rewrite rule –
- Semantic compression –
- Semantic neural network –
- SemEval –
- Shapado –
- SHRDLU –
- SPL notation –
- Stemming –
- String kernel –
- Sukhotin's algorithm –
- Synthetix –
- T9 (predictive text) –
- Tatoeba –
- Teragram Corporation –
- Textual entailment – directional relation between text fragments. The relation holds whenever the truth of one text fragment follows from another text. In the TE framework, the entailing and entailed texts are termed text (t) and hypothesis (h), respectively. The relation is directional because even if "t entails h", the reverse "h entails t" is much less certain.
- TipTop Technologies –
- TMC Corpus –
- Transderivational search –
- Trigram –
- Triphone –
- Vocabulary mismatch –
- W-shingling –
- Word-sense induction
Read more about this topic: Natural Language Processing Toolkits
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