Future Perfect Continuous Tense

The future perfect continuous, also sometimes called the future perfect progressive, is a verb tense that describes actions that will continue up until a point in the future. The future perfect continuous consists of will + have + been + the verb's present participle (verb root + -ing).

Like with most other continuous tenses, we don't usually use state verbs with the future perfect continuous tense which is also known as the future perfect progressive tense. It should be like "I will have had my cat for two years this Christmas" rather than "I will have been having my cat for two years this Christmas". You also can't use the future perfect continuous to talk about the finished actions. You have just to use the future perfect tense instead. The future perfect continuous tense has only two usages. So, let's learn when to use the future perfect continuous tense in today's weblog.

USAGES

The future perfect continuous tense is used to express actions that will be continued at a certain in the future.

Example:

They will have been staying in Islamabad for three months in the Summer.

The future continuous tense is also used to emphasize the duration of an action that will be continued before another event or time in the future.

Example:

She will have been sleeping for two hours by the time her father gets hospital.

SHALL & WILL

Both "shall" and "will" are helping or auxiliary verbs that are used with all the verbs to form the future simple tense. They are also called model verbs. The traditional rule in British English says that "shall" is used with the first person pronoun (I & we) whereas "will" is used with all the remaining pronouns i.e. the second and third person pronouns (he, she, it, they, you). However, in American English, "shall" is avoided, and instead "will or should" is used. 

According to rules and laws, the word "shall" indicates that something must happen or someone is obliged to do something because of a rule and law.

STRUCTURE

Positive or Affirmative Sentence

I will have been reading the book.

Formula:

Subject + will have been + Base form of the verb + ing +Object

Negative Sentence

I will not have been reading the book.

Formula:

Subject + will not have been + Base form of the verb + ing +Object

Question Sentence

Will I have been reading the book?

Formula:

Will + Subject + have been + Base form of the verb + ing + Object

Negative Interrogative Sentence

Won't I have been reading the book?

Will I not have been reading the book?

Formula:

Won't/shan't + Subject + have been + Base form of the verb + ing + Object

Will/shall + Subject + not + have been + Base form of the verb + ing + Object

The negative interrogative sentences can be made in two ways. If the word "not" is contracted with the auxiliary verb, then it comes before the subject and if it is not contracted, then the word "not" comes after the subject to make a negative interrogative sentence. In the first sentence, the word "not" has been contracted with the auxiliary verb while in the second sentence, it has been used in expanded form and that's why it has been put after the subject of the sentence.

RECOGNITION IN URDU

How does English To Urdu text translation works? Our translation service either use Google or Microsoft to translate the text you have typed in English.  Whenever you type a word, sentence or phrase in English - we send API requests to either Google or Microsoft for a translation. In return, they send back a response with a translated text in Urdu.  Their system use machine-language technologies to bring together some cutting edge technologies such as artificial intelligence (deep learning), big data, Web APIs, cloud computing etc. to perform higher quality translations.

Examples:

Our translation service use Lingvanex translator machine engine to translate the text you have typed in English. Whenever you type a word, phrase or sentence in english – we send API request to Lingvanex engine for a translation. In return, they translation service Lingvanex send back a response with a translated text in Urdu. Lingvanex uses advanced technologies such as artificial intelligence (deep learning), big data, web APIs, cloud computing, etc. to deliver higher quality translations. You can check the quality of the translation from English to Urdu right now.

Recognition in Urdu is very important. It helps a lot in translation. If you don't know the tense of a sentence, you will be unable to translate it

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