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English also has a present perfect continuous (or present perfect progressive) form, which combines present tense with both perfect aspect and continuous (progressive) aspect: "I have been eating". The action is not necessarily complete; and the same is true of certain uses of the basic present perfect when the verb expresses a state or a ...
The present perfect continuous (or present perfect progressive) construction combines some of this perfect progressive aspect with present tense. It is formed with the present tense of have (have or has), the past participle of be (been), and the present participle of the main verb and the ending -ing.
The perfect can also be combined with another aspect [21] that is marked in English – the progressive (or continuous) aspect. In perfect progressive (or perfect continuous) constructions, the perfect auxiliary (a form of have) is followed by the past participle been (from be, the auxiliary of the progressive aspect), which in turn is followed ...
In linguistics, aspect is a grammatical category that expresses how a verbal action, event, or state, extends over time. For instance, perfective aspect is used in referring to an event conceived as bounded and unitary, without reference to any flow of time during the event ("I helped him").
The present continuous tense has a very predictable conjugation pattern even for verbs that are typically irregular, such as essere ("to be") and avere ("to have"). For verbs with reduced infinitives, the gerund uses the same stem as the imperfect (which sometimes corresponds to the stem of the 1st person singular indicative present).
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Ancient Greek preserves this reduplication in the present tense of some verbs. Usually, but not always, this is reduplication of a consonant and i, and contrasts with e-reduplication in the perfect: [11] δίδωμι dídōmi "I give" (present) δέδωκα dédōka "I have given" (perfect) * σίσδω sísdō → ἵζω hízō "I set" (present)
The bag-of-words model (BoW) is a model of text which uses an unordered collection (a "bag") of words.It is used in natural language processing and information retrieval (IR).