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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 may also be used with future reference, instead of the future perfect, in those dependent clauses where future occurrence is denoted by present tense (see § Dependent clauses below). For example: When you have written it, show it to me. For the possibility of a present perfect subjunctive, see English subjunctive.
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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 ...
The aorist participle represents the first event of a two-event sequence and the present participle represents an ongoing event at the time of another event. [25] Perfect verbs stood for past actions if the result is still present (e.g. 'I have found it') or for present states resulting from a past event (e.g. 'I remember').
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").
Apart from what are called the simple present (write, writes) and simple past (wrote), there are also continuous (progressive) forms (am/is/are/was/were writing), perfect forms (have/has/had written, and the perfect continuous have/has/had been writing), future forms (will write, will be writing, will have written, will have been writing), and ...
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).