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* [[Natural language generation]]
* [[Machine translation]]
*
* Text-proofing
Some problems which make NLP difficult:
; [[Word boundary detection]] : In spoken language, there are no gaps between words; where to place the word boundary often depends on what choice makes the most sense grammatically and given the context. In written form, languages like [[Chinese]] do not have word boundaries either.
; [[Word sense disambiguation]] : Any given word can have several different meanings; we have to select the meaning which makes the most sense in context.
; [[Syntactic ambiguity]] : The [[grammar]] for [[natural language]]s is not [[unambiguous grammar|unambiguous]], i.e. there are often multiple possible parse trees for a given sentence. Choosing the most appropriate one usually requires [[semantics|semantic]] and contextual information.
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===See also===
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