General Natural Language Processing Concepts
- Classification and regression tree –
- Compound term processing – category of techniques that identify compound terms and match them to their definitions. Compound terms are built by combining two (or more) simple terms, for example "triple" is a single word term but "triple heart bypass" is a compound term.
- 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
- Deep linguistic processing –
- Foreign language reading aid –
- Foreign language writing aid –
- Language technology –
- Latent semantic indexing –
- LRE Map –
- Natural language –
- Reification (linguistics) –
- Semantic Web –
- Metadata –
- Spoken dialogue system –
- Affix grammar over a finite lattice –
- AFNLP –
- Aggregation (linguistics) –
- Attensity –
- Automatic acquisition of lexicon –
- Automatic acquisition of sense-tagged corpora –
- Bag-of-words model –
- Bigram –
- Brill tagger –
- Cache language model –
- Calais (Reuters product) –
- ChaSen –
- Classic monolingual WSD –
- ClearForest –
- CMU Pronouncing Dictionary –
- Computational semantics –
- Concept mining –
- Content determination –
- Cross-language information retrieval –
- DATR –
- DBpedia Spotlight –
- Deep linguistic processing –
- DELPH-IN –
- Discourse relation –
- Document structuring –
- Document-term matrix –
- Dragomir R. Radev –
- ETBLAST –
- Explicit semantic analysis –
- 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 –
- Information extraction –
- Information retrieval –
- International Conference on Language Resources and Evaluation –
- Kleene star –
- Language Computer Corporation –
- Language model –
- Languageware –
- Latent semantic analysis –
- Latent semantic mapping –
- Legal information retrieval –
- Lesk algorithm –
- Lessac Technologies –
- Lexalytics –
- Lexical choice –
- Lexical Markup Framework –
- Lexical substitution –
- Lexxe –
- Linguistic Issues in Language Technology –
- 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 processing –
- Natural Language Toolkit –
- Natural language understanding –
- 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 analysis (computational) –
- Semantic analytics –
- Semantic compression –
- Semantic neural network –
- SemEval –
- Sentence extraction –
- Sentiment analysis –
- Shapado –
- SHRDLU –
- Speech segmentation –
- SPL notation –
- Stemming –
- String kernel –
- Studies in NLP –
- Sukhotin's algorithm –
- Synthetix –
- T9 (predictive text) –
- Tatoeba –
- Teragram Corporation –
- Terminology extraction –
- Text mining –
- Text normalization –
- Text Retrieval Conference –
- Text simplification –
- Textual entailment –
- TipTop Technologies –
- TMC Corpus –
- Transderivational search –
- Trigram –
- Triphone –
- Vocabulary mismatch –
- W-shingling –
- Word-sense disambiguation –
- Word-sense induction
Read more about this topic: List Of Chatterbots
Famous quotes containing the words general, natural, language and/or concepts:
“He who never sacrificed a present to a future good or a personal to a general one can speak of happiness only as the blind do of colors.”
—Olympia Brown (1835–1900)
“Poetry is the most direct and simple means of expressing oneself in words: the most primitive nations have poetry, but only quite well developed civilizations can produce good prose. So don’t think of poetry as a perverse and unnatural way of distorting ordinary prose statements: prose is a much less natural way of speaking than poetry is. If you listen to small children, and to the amount of chanting and singsong in their speech, you’ll see what I mean.”
—Northrop Frye (1912–1991)
“This is an approach to that universal language which men have sought in vain.”
—Henry David Thoreau (1817–1862)
“Germany collapsed as a result of having engaged in a struggle for empire with the concepts of provincial politics.”
—Albert Camus (1913–1960)