Most words ending -ies are plural nouns. Here are the most common examples put into a paragraph: The list of most frequent plural nouns reveals a diverse range of topics and concepts. Companies play a pivotal role in the global economy, driving innovation and providing employment opportunities. Activities encompass a wide array of interests and […]
1 BACK (RP) 6374291 3 BACK (NN1) 1521907 7 BACK (VVI) 95994 13 BACK (VV0) 23213 20 BACK (JJ) 11650 30 BACK (II32) 4078
It is very possible to have a noun after a past participle. 1 TAKEN (VVN) PLACE (NN1) 57019 2 TAKEN (VVN) CARE (NN1) 52472 3 TAKEN (VVN) ADVANTAGE (NN1) 15507 4 MADE (VVN) PUBLIC (NN1_JJ_RR@) 14502 5 ELECTED (VVN_JJ@) PRESIDENT (NN1) 10852 6 TAKEN (VVN) PART (NN1) 9235 7 BUILT (VVN) ENVIRONMENT (NN1) 7734 8
past + singular noun Read More »
The word with an ‘-ed’ ending is usually a past particple. The adjective exceptions such as ‘interested’,’involved’,’used to’ are rarer. 1 IS BASED (VVN) ON 327426 The system is based on the rules of a building. The Matrix Reloaded 2 BE (VBI) USED (VVN) FOR (IF) 273383 3 ARE (VBR) INTERESTED (JJ) IN (II) 192417 4 BE (VBI) USED (VVN) IN (II)
BE + *ed + PREPOSITION Read More »
A search in iWeb for the part of speech of ‘long’: 1 LONG (JJ) 3552089 adjective 2 LONG (RR) 1695369 adverb 5 LONG (CS32) 727692 B2 complex subordinating conjunction: He says he‘s waited as long as he can for Batman to do the right thing. 6 LONG (RR22) 93610 C1 complex adverbial phrase ‘for long’ But if it went wrong, I would not want to live like that for long. 9 LONG (VVI) 48001 verb 14 LONG
It seems impossible to find a lexical base verb after lexical verb + noun. 1 GET (VVI) THINGS (NN2) DONE (VDN) 15273 2 MAKE (VVI) ENDS (NN2) MEET (VVI) 12084 3 GETTING (VVG) THINGS (NN2) DONE (VDN) 7515 4 LET (VVI) PEOPLE (NN) KNOW (VVI) 6309 5 HAVING (VHG) TROUBLE (NN1) GETTING (VVG) 6301 6
VERB + NOUN + VERB Read More »
The word ‘that’ is almost always a subordinating conjunction between a verb and determiner. The main exceptions have been highlighted. 1 IS (VBZ) THAT (CST) THIS (DD1) 60964 2 NOTE (VV0) THAT (CST) THIS (DD1) 50064 3 ENSURE (VVI) THAT (CST) ALL (DB) 29111 4 IS (VBZ) THAT (CST) THESE (DD2) 26839 5 IS (VBZ)
VERB + that + DETERMINER Read More »
A search in iWeb corpus for: _V _RR _AT1 1 IS ALSO A 431112 It is also a legal requirement in most countries, but above everything else, it helps every business and every organization become more inclusive. 2 IS (VBZ) JUST (RR) A (AT1) 186187 3 IS (VBZ) STILL (RR) A (AT1) 126059 4 IS (VBZ) ALWAYS (RR) A (AT1) 99232 5 WAS (VBDZ) ALSO (RR) A (AT1) 98531 6 ‘S (VBZ) JUST (RR)
verb + general ADVERB + indefinite article + noun phrase Read More »
There are 4 ways that ‘that’s‘ can be used grammatically. 1 THAT (DD1) ‘S (VBZ) 2910658 Yeah, that‘s right. listen 6 THAT (CST) ‘S (VBZ) 46519 8 THAT (DD1) ‘S (VHZ) 15994 9 THAT (CST) ‘S (VHZ) 12804
The text discusses the use of “so much” and “a lot” as adverbs of degree in English grammar. These phrases modify verbs to indicate a high degree or intensity of an action. For example, in the sentence “You bother me a lot”, “a lot” intensifies the verb “bother”. Similarly, in “He loved it so much that he continued to show up every week”, “so much” intensifies “loved” and the phrase “so much that” establishes a cause-effect relationship between the high degree of love and the action of showing up every week.
SO MUCH | A LOT adverbial phrases in end position Read More »
1 FIND (VVI) OUT (RP) 628420 2 CHECK (VV0) OUT (RP) 625025 3 FIGURE (VVI) OUT (RP) 394099 4 GOING (VVG) ON (RP@) 375296 5 SET (VVI) UP (RP) 339323 6 END (VVI) UP (RP) 307480 7 GO (VVI) BACK (RP) 305333 8 SET (VVN) UP (RP) 297897 9 FIND (VV0) OUT (RP) 292696 10
lexical verb + adverb particle Read More »
Here’s an idiomatic and advanced example of a lexical verb followed by an adverb: I think I‘ve always had a talent for painting and drawing. I think it‘s something that came naturally. listen It is much rarer to follow a lexical verb by a general adverb than a preposition or adverb of degree. In this search in iWeb corpus, we have removed results that do not match the criteria or
lexical verb + general adverb Read More »
Following a lexical verb with a degree adverb is possible but much rarer than following a lexical verb with a preposition and a little rarer than following a lexical verb with a general adverb. Here we have kept the results with _VV _RG 11 TAKES ABOUT 36989 All in all, the process takes about a month, give or take. listen 12 LOOKS VERY 34563
lexical verb + degree adverb Read More »
A search in iWeb corpus for: _VV _II sometimes catches past participles that might be considered adjectives. *doesn’t include ‘with’ and ‘for’ 1 BASED ON 2713989 2 KNOWN AS 1156665 This is what is known as a precautionary measure. listen 3 COMES TO 937726 4 COMPARED TO 832204 5 LOOKING AT 822174 6 GO TO 800246 (two verb forms) 7 GO
lexical verb + preposition Read More »
Like is usually a preposition, verb or conjunction. A search in the iWeb and NOW corpora for ‘like’: preposition 1 LIKE (II) 12859907 1 I WAS LIKE, ‘ 43416 When Matthew told me that was yours, I was like, “I walk by there all the time.” listen 2 IT LOOKS LIKE THE EMAIL 36854 3 I ‘M LIKE , ‘ 16067 4 I WAS LIKE , ” 12239
What part of speech is LIKE? Read More »
1 LEFT (VVN) 825113 2 LEFT (JJ) 812850 3 LEFT (VVD) 655523 11 LEFT (RL) 75837 15 LEFT (NN1) 38688
GET (VV0) DAILY (JJ) NEWS (NN1) IS (VBZ) GOOD (JJ) NEWS (NN1) TAKE (VVI) FULL (JJ) ADVANTAGE (NN1) USING (VVG) SOCIAL (JJ) MEDIA (NN) MAKES (VVZ) PERFECT (JJ) SENSE (NN1) HAS (VHZ) EXTENSIVE (JJ) EXPERIENCE (NN1) READ (VV0) FULL (JJ) REVIEW (NN1) MAKE (VVI) INFORMED (JJ@) DECISIONS (NN2) ARE (VBR) OTHER (JJ) WAYS (NN2) IS
How to use: VERB + ADJECTIVE + NOUN Read More »
In this post, we are most interested to find the most advanced uses of the word ‘even‘. At C1, The phrase “even so” is used to introduce a surprising fact or conclusion that contrasts with what has been said before. It can be used to express a sense of defiance or determination or to simply
Here is the ranked frequency of contracted ‘NOT’ in iWeb corpus: _V n’t 1 DON’T 8794067 2 CAN’T 2949838 3 DOESN’T 2921306 4 DIDN’T 2857442 5 ISN’T 1917031 6 WON’T 1605476 7 WASN’T 1225689 8 WOULDN’T 963740 9 AREN’T 912023 10 COULDN’T 867686 11 HAVEN’T 835010 12 SHOULDN’T 385701 13 HASN’T 367136 14 WEREN’T 315174
