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The complementizer is often held to be the syntactic head of a full clause, which is therefore often represented by the abbreviation CP (for complementizer phrase).Evidence of the complementizer functioning as the head of its clause includes that it is commonly the last element in a clause in head-final languages like Korean or Japanese in which other heads follow their complements, but it ...
Cross-linguistically, complementizer-less environments (phrases which lack an overt C element) are often attested. In many cases, the complementizer is optional. In the following example, in (a), the complement clause "the cat is cute" is introduced by the overt complementizer "that". In (b), C is null; this is represented by the null symbol "Ø".
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The +q feature of the complementizer (+q= question feature) results in an EPP:XP +q feature: This forces an XP to the specifier position of CP. The +q feature also attracts the bound morpheme in the tense position to move to the head complementizer position; leading to do-support. [1]: 260–262
DPs were proposed under generative syntax; [4] not all theories of syntax agree that they exist. [5] Complementizer Phrase: the head of a complementizer phrase (CP) is a complementizer, like that in English. In some cases the C head is covert (not overtly present). The complement of C is generally agreed to be a tense phrase (TP).
A snippet of Python code with keywords highlighted in bold yellow font. The syntax of the Python programming language is the set of rules that defines how a Python program will be written and interpreted (by both the runtime system and by human readers). The Python language has many similarities to Perl, C, and Java. However, there are some ...
The wh-movement is motivated by a Question Feature/EPP at C (Complementizer), which promotes movement of a wh-word from the canonical base position to Spec-C. This movement could be considered as "Copy + Paste + Delete" movement as we are copying the interrogative word from the bottom, pasting it to Spec-C, and then deleting it from the bottom ...
Given that much work on English syntactic parsing depended on the Penn Treebank, which used a constituency formalism, many works on dependency parsing developed ways to deterministically convert the Penn formalism to a dependency syntax, in order to use it as training data. One of the major conversion algorithms was Penn2Malt, which ...