Terms: Phrases with Pronouns (52), pronouns phrases (406), pronouns * phrases (15,800), pronouns * * phrases (17,800), pronouns * * * phrases (17,800), phrases pronouns (1,620), phrases * pronouns (23,600), phrases * * pronouns (13,200), phrases * * * pronouns (15,900),
Terms: meanings of phrases (16,900), origins of phrases (529,000), phrase dictionary (188,000), phrase dictionaries (8,480), phrase thesaurus (14,300),
The Phrase Finder - Meanings and origins of phrases
Boolean: phrases +pronouns (2,400,000), phrases +sayings (4,380,000), phrases +idioms (4,650,000),
Terms: i (15,000,000,000), me (9,350,000,000), we (14,100,000,000), us (21,500,000,000), he (6,350,000,000), him (3,100,000,000), she (3,270,000,000), her (3,810,000,000), they (9,840,000,000), them (7,030,000,000), you (23,200,000,000), it (20,100,000,000), myself (1,030,000,000), yourself (1,730,000,000), himself (941,000,000), herself (357,000,000), itself (1,330,000,000), ourselves (437,000,000), yourselves (76,200,000), themselves (1,260,000,000), mine (758,000,000), ours (182,000,000), yours (610,000,000), his (6,340,000,000), hers (68,300,000), its (9,150,000,000), their (10,400,000,000), me (9,350,000,000), her (3,810,000,000), their (10,400,000,000), them (7,030,000,000), him (3,100,000,000),
Terms: these (8,490,000,000), those (5,160,000,000),
Terms: none (1,940,000,000), nothing (2,150,000,000), nobody (464,000,000), nothing (2,150,000,000), neither (660,000,000), no one (775,000,000), enough (2,460,000,000), few (4,290,000,000), fewer (651,000,000), less (3,960,000,000), little (4,350,000,000), many (7,240,000,000), much (5,470,000,000), several (2,690,000,000), more (22,300,000,000), most (10,400,000,000), all (24,500,000,000), every (4,760,000,000), each (5,280,000,000), any (11,700,000,000), either (2,840,000,000), some (9,170,000,000), everybody (548,000,000), anybody (380,000,000), somebody (341,000,000), whoever (145,000,000), whomever (24,700,000), whatever (1,040,000,000), who (10,400,000,000), whom (703,000,000), which (9,640,000,000), that (18,500,000,000), each other (666,000,000), one another (206,000,000), another (4,890,000,000), self (2,290,000,000), selves (37,000,000),
Terms: what (13,500,000,000), where (7,290,000,000), how (10,700,000,000), when (9,850,000,000), why (4,800,000,000),
Terms: * pronouns (9,280,000), * phrases (232,000,000),
Terms: personal pronouns (1,130,000), negative pronouns (10,700), reflexive pronouns (256,000), possessive pronouns (426,000), relative pronouns (503,000), demonstrative pronouns (225,000), interrogative pronouns (142,000), universal pronouns (218), partitive pronouns (60), assertive pronouns (105), noun phrases (949,000), independent pronouns (21,000), indefinite pronouns (201,000), element pronouns (75), noun phrases (949,000), verb phrases (374,000), adjective phrases (63,700), adverb phrases (31,300), prepositional phrases (638,000), adverbial phrases (96,100),
Terms: unprecursed pronouns (26), personal pronouns (1,130,000), subjective pronouns (3,620), informal pronouns (3,720), intensive pronouns (15,500), reflexive pronouns (256,000), objective pronouns (16,200), object pronouns (456,000), direct object pronouns (122,000), indirect object pronouns (142,000), reciprocal pronouns (21,100), prepositional pronouns (22,100), disjunctive pronouns (21,200), dummy pronouns (672), weak pronouns (13,600), possessive pronouns (426,000), speaking pronouns (81), demonstrative pronouns (225,000), indefinite pronouns (201,000), distributive pronouns (657), negative pronouns (10,700), relative pronouns (503,000), interrogative pronouns (142,000), bulgarian pronouns (116), chinese pronouns (1,120), grammar pronouns (28,300), french pronouns (16,800), german pronouns (14,600), english pronouns (43,400), interlingua pronouns (71), morphology pronouns (354), japanese pronouns (4,070),
Terms: the house at the end of the * (119,000),
Terms: at the end of the advanced (6,640), at the end of the offensive (1,120), at the end of the tracks (16,600), at the end of the universe (2,150,000), at the end of the the (48,900), at the end of the drive (226,000), at the end of the world (4,420,000), at the end of the road (2,260,000), at the end of the street (1,180,000), at the end of the lake (71,000), at the end of the lane (201,000), at the end of the rainbow (1,290,000), at the end of the a (20,500), at the end of the lease (911,000), at the end of the term (1,890,000), at the end of the one (222,000), at the end of the top (41,400), at the end of the month (12,300,000), at the end of the roadyou (7), at the end of the block (408,000), at the end of the terrace (20,500), at the end of the first (10,100,000), at the end of the previous (1,050,000), at the end of the series (650,000), at the end of the work (463,000), at the end of the period (2,720,000), at the end of the day (62,700,000), at the end of the access (19,300), at the end of the week (4,940,000), at the end of the program (1,470,000), at the end of the trestle (395), at the end of the summer (2,160,000), at the end of the movie (2,220,000), at the end of the trust (46,400), at the end of the programm (80), at the end of the year (20,600,000), at the end of the rental (173,000), at the end of the path (383,000), at the end of the alley (126,000), at the end of the construction (45,100), at the end of the tenancy (154,000), at the end of the discussion (295,000), at the end of the century (710,000), at the end of the driveway (296,000), at the end of the option (16,800), at the end of the mass (94,500), at the end of the war (2,420,000), at the end of the aisle (117,000), at the end of the season (11,800,000), at the end of the session (2,140,000), at the end of the exercise (212,000), at the end of the game (5,130,000), at the end of the inspection (79,100), at the end of the redemption (2,060), at the end of the point (24,900), at the end of the sale (174,000), at the end of the story (1,210,000), at the end of the st (13,300), at the end of the almost (1,400), at the end of the long (482,000), at the end of the row (275,000), at the end of the town (42,900), at the end of the second (4,370,000), at the end of the set (330,000), at the end of the school (2,160,000), at the end of the growth (20,000), at the end of the legislative (74,600), at the end of the works (3,750), at the end of the debate (250,000), at the end of the showing (2,250), at the end of the night (3,680,000), at the end of the book (2,930,000), at the end of the sidewalk (13,900), at the end of the passageway (15,400), at the end of the way (33,900), at the end of the curling (236), at the end of the rd (982), at the end of the spring (528,000), at the end of the bl (44), at the end of the hallway (398,000), at the end of the cul (130,000), at the end of the qprt (60), at the end of the raimondi (0), at the end of the song (973,000), at the end of the chain (231,000), at the end of the turnaround (442), at the end of the peninsula (38,700), at the end of the beach (122,000), at the end of the dirt (24,700), at the end of the film (1,880,000), at the end of the performance (307,000), at the end of the workday (195,000), at the end of the glacir (3), at the end of the garden (217,000), at the end of the blacktop (347), at the end of the passage (164,000), at the end of the odd (616), at the end of the pier (250,000), at the end of the holler (52), at the end of the rue (13,800), at the end of the runway (441,000), at the end of the nineteenth (835,000), at the end of the last (2,860,000), at the end of the time (418,000), at the end of the tarmac (2,680), at the end of the holidays (19,900), at the end of the wing (14,500), at the end of the evening (1,620,000), at the end of the neighborhood (922), at the end of the village (138,000), at the end of the loan (361,000), at the end of the woods (1,960), at the end of the renovation (860), at the end of the vims (5), at the end of the sky (22,400), at the end of the meeting (1,850,000), at the end of the present (107,000), at the end of the stollet (0), at the end of the contract (703,000), at the end of the feeding (21,600), at the end of the raid (12,300), at the end of the airport (15,900), at the end of the programme (430,000), at the end of the play (484,000), at the end of the show (2,480,000), at the end of the agamemnon (17), at the end of the concert (255,000), at the end of the ritual (16,600), at the end of the course (3,240,000), at the end of the two (863,000), at the end of the meal (817,000), at the end of the auction (4,080,000), at the end of the cleaning (11,200), at the end of the valley (109,000), at the end of the national (35,300), at the end of the lesson (433,000), at the end of the question (71,700), at the end of the water (26,000), at the end of the entrance (17,800), at the end of the earth (174,000), at the end of the stay (138,000), at the end of the graveyards (2), at the end of the field (208,000), at the end of the deadline (8,250), at the end of the festive (1,750), at the end of the bridge (261,000), at the end of the party (275,000), at the end of the initial (324,000), at the end of the six (362,000),
Terms: those * are in trouble (71,800),
Terms: those are (136,000,000), who are (1,330,000,000), crooks are (865,000), they are (2,920,000,000), companies are (145,000,000), lenders are (8,160,000), loans are (23,200,000), that are (1,910,000,000), democrats are (29,000,000), earrings are (6,670,000), banks are (33,800,000), involved are (10,700,000), plans are (62,000,000), people are (683,000,000), rights are (110,000,000), buybacks are (140,000), governments are (20,500,000), funds are (53,100,000), economies are (6,480,000), girls are (53,000,000), ecosystems are (2,340,000), guys are (121,000,000), ladies are (8,150,000), users are (108,000,000), collections are (10,300,000), children are (140,000,000), nazis are (1,070,000), bricks are (1,550,000), sources are (28,000,000), hopes are (4,420,000), initiatives are (11,000,000), deals are (14,300,000), swimmers are (1,540,000), leagues are (2,010,000), turkeys are (1,290,000), bucks are (1,450,000), how are (224,000,000), animals are (33,400,000), species are (23,900,000), models are (63,200,000), hogs are (691,000), residents are (32,800,000), barriers are (4,360,000), islands are (9,970,000), relationships are (19,800,000), investments are (13,100,000), graves are (1,200,000), which are (891,000,000), adults are (21,500,000), we are (3,300,000,000), ideas are (35,300,000), firms are (23,300,000), efforts are (37,300,000), kids are (80,800,000), schools are (52,200,000), mortgages are (6,720,000), airlines are (6,840,000), demons are (2,000,000), bills are (15,800,000), too are (19,400,000), organisations are (10,700,000), soulless are (2,410), businesses are (45,500,000), owe are (107,000), brands are (656,000,000), families are (36,800,000), homes are (33,400,000), mice are (4,410,000), boundaries are (7,240,000), ubers are (14,600), dems are (5,680,000), areas are (66,200,000), dudes are (1,840,000), borrowers are (3,310,000), zombies are (2,280,000), caribou are (235,000), geese are (1,110,000), mullahs are (371,000), astronauts are (975,000), fanlistings are (250,000), things are (244,000,000), bootleggers are (37,100), birds are (16,200,000), dinosaurs are (1,350,000), skips are (137,000), markets are (36,700,000), streams are (5,790,000), insurgents are (1,870,000), pigs are (3,470,000), circuits are (3,850,000), you are (6,140,000,000), places are (21,100,000), restaurants are (15,700,000), parents are (77,200,000), three are (22,000,000), counties are (6,530,000),
Terms: those (5,160,000,000), who (10,400,000,000), crooks (53,300,000), they (9,840,000,000), companies (2,700,000,000), lenders (132,000,000), loans (897,000,000), that (18,500,000,000), democrats (308,000,000), earrings (171,000,000), banks (897,000,000), involved (1,600,000,000), plans (2,350,000,000), people (9,800,000,000), rights (12,100,000,000), buybacks (26,100,000), governments (339,000,000), funds (1,030,000,000), economies (127,000,000), girls (1,720,000,000), ecosystems (59,100,000), guys (1,210,000,000), ladies (589,000,000), users (3,470,000,000), collections (770,000,000), children (3,370,000,000), nazis (53,500,000), bricks (81,200,000), sources (1,290,000,000), hopes (483,000,000), initiatives (379,000,000), deals (3,610,000,000), swimmers (30,700,000), leagues (188,000,000), turkeys (25,600,000), bucks (233,000,000), how (10,700,000,000), animals (1,330,000,000), species (455,000,000), models (1,410,000,000), hogs (29,600,000), residents (730,000,000), barriers (179,000,000), islands (766,000,000), relationships (916,000,000), investments (446,000,000), graves (87,000,000), which (9,640,000,000), adults (737,000,000), we (14,100,000,000), ideas (2,160,000,000), firms (482,000,000), efforts (960,000,000), kids (2,880,000,000), schools (2,220,000,000), mortgages (479,000,000), airlines (369,000,000), demons (91,400,000), bills (448,000,000), too (4,330,000,000), organisations (300,000,000), soulless (7,440,000), businesses (2,540,000,000), owe (128,000,000), brands (1,900,000,000), families (1,020,000,000), homes (1,950,000,000), mice (181,000,000), boundaries (211,000,000), ubers (388,000), dems (75,200,000), areas (2,080,000,000), dudes (56,900,000), borrowers (51,600,000), zombies (74,800,000), caribou (21,800,000), geese (33,000,000), mullahs (5,730,000), astronauts (31,400,000), fanlistings (5,110,000), things (4,160,000,000), bootleggers (2,610,000), birds (459,000,000), dinosaurs (67,000,000), skips (25,100,000), markets (1,390,000,000), streams (202,000,000), insurgents (36,300,000), pigs (104,000,000), circuits (122,000,000), you (23,200,000,000), places (1,990,000,000), restaurants (2,270,000,000), parents (1,380,000,000), three (4,690,000,000), counties (291,000,000),
Terms: the * are going to (21,500,000), the * are making their (434,000), the * are making (5,790,000), the * are grown in (247,000), the * reacted (3,400,000),
Terms: the reacted (84,200), industry reacted (67,300), markets reacted (240,000), crew reacted (18,900), world reacted (190,000), audience reacted (118,000), market reacted (313,000), fully reacted (56,300), non reacted (18,800), speech reacted (343), kb reacted (50), fed reacted (11,500), search reacted (43), dog reacted (27,900), public reacted (88,500), family reacted (74,800), residents reacted (28,800), amazonians reacted (52), protesters reacted (1,800), dollar reacted (2,060), region reacted (2,900), slaves reacted (358), press reacted (30,200), kids reacted (22,700), us reacted (30,300), fdny reacted (3), hostiles reacted (2), serbians reacted (29), geeks reacted (12), australians reacted (3,250), japanese reacted (3,210), opposition reacted (7,680), fdic reacted (6), alcohol reacted (1,060), aclohol reacted (1), russians reacted (2,790), atlantic reacted (672), british reacted (2,960), body reacted (166,000), government reacted (269,000), president reacted (35,900), people reacted (619,000), aniline reacted (54), cells reacted (36,300), chimp reacted (29), economy reacted (2,260), colonists reacted (1,220), crowd reacted (119,000), un reacted (29,800), canines reacted (176), burbles reacted (1), romans reacted (561), lacquer reacted (25), obamas reacted (368), pacific reacted (30), regents reacted (72), device reacted (432), police reacted (85,400), xp reacted (24), keeper reacted (7,240), has reacted (1,930,000), aisle reacted (314), yesterday reacted (30,600), troops reacted (3,650), military reacted (7,520), s reacted (2,590), guards reacted (12,700), ankle reacted (247), sailor reacted (684), patriarch reacted (71), plant reacted (1,070), americas reacted (32), ocean reacted (93), germans reacted (7,380), legislature reacted (7,930), pieces reacted (54), choson reacted (9), media reacted (101,000), officials reacted (155,000), peloton reacted (860), state reacted (15,400), participants reacted (32,400), room reacted (2,110), donor reacted (98), navy reacted (804), and reacted (1,220,000), other reacted (185,000), country reacted (25,700), tissue reacted (33,300), dbj reacted (1), board reacted (16,700), fans reacted (143,000), masses reacted (554), sensex reacted (542), reviewer reacted (54), players reacted (72,500), equipment reacted (232), drivers reacted (3,550), city reacted (21,600), students reacted (110,000), web reacted (487), wehrmacht reacted (3), house reacted (29,800), reformation reacted (71), community reacted (137,000), archbishop reacted (48), junta reacted (405), opponent reacted (683), doctor reacted (1,290), chinese reacted (3,460), jews reacted (14,700), sector reacted (11,100), readers reacted (37,100), cdc reacted (98), team reacted (74,300), palestinians reacted (16,700), west reacted (9,410), wood reacted (657), phosphoramide reacted (13), antibodies reacted (37,400), kremlin reacted (797), hair reacted (789), time reacted (16,800), conservatives reacted (15,300), town reacted (3,150), lord reacted (512), husband reacted (10,300), meantime reacted (40), diocese reacted (66), staff reacted (40,800), women reacted (31,100), subject reacted (1,030), oxygen reacted (1,720), province reacted (1,040), population reacted (10,000), bucs reacted (26), have reacted (4,450,000), manager reacted (4,190), natives reacted (309), patient reacted (8,570), directors reacted (1,150), crewmen reacted (16), plan reacted (638), genre reacted (154), giants reacted (487), polyps reacted (11), clusters reacted (66), rates reacted (1,070), nhlpa reacted (3), golfer reacted (37), dax reacted (59), musicians reacted (1,010), ger reacted (1), blocks reacted (33), epichlorohydrin reacted (55), employers reacted (2,840), pupils reacted (2,520), coalition reacted (1,270), senate reacted (1,480), fraction reacted (1,070), amount reacted (491), ussr reacted (299), army reacted (10,800), father reacted (18,000), wolves reacted (79), rocks reacted (62), administration reacted (61,300), hacienda reacted (2), forum reacted (715), south reacted (1,060), dong reacted (20), nra reacted (117), pellets reacted (53), clerk reacted (292), founders reacted (70), ray reacted (339), group reacted (33,400), church reacted (19,600), supermarkets reacted (251), strains reacted (3,980), sera reacted (25,600), sharemarket reacted (155), spurs reacted (254), mavericks reacted (9), son reacted (21,000), redskins reacted (58), tragedy reacted (41), aclu reacted (269), authorities reacted (78,000), zelosians reacted (1), humans reacted (1,710), actual reacted (17), homeless reacted (130), strands reacted (30), brain reacted (15,900), case reacted (2,300), client reacted (1,410), bronx reacted (20), sheep reacted (214), fluid reacted (424), tag reacted (70), party reacted (25,000), southland reacted (13), diyanet reacted (21), prisoners reacted (738), males reacted (1,060), dad reacted (3,240), soldiers reacted (15,300), material reacted (1,960), ecb reacted (4,030), two reacted (2,800), plane reacted (860), union reacted (18,500), surface reacted (934), annunciation reacted (3), faithful reacted (391), fragment reacted (387), kitten reacted (58), republicans reacted (33,900), usa reacted (1,130), nikkei reacted (44), profession reacted (608), council reacted (26,100), colony reacted (65), boy reacted (2,970), nation reacted (27,100), parent reacted (653), members reacted (67,200), school reacted (13,300), force reacted (1,940), pressure reacted (358), investor reacted (269), diamond reacted (205), locals reacted (2,040), stock reacted (17,500), company reacted (30,700), colonies reacted (449), newspaper reacted (1,190), dow reacted (989), elephants reacted (804), blood reacted (1,040), chemical reacted (786), arabs reacted (1,770), rats reacted (919), nazis reacted (1,290), youngsters reacted (277), parade reacted (21), scene reacted (770), widow reacted (31), agreement reacted (61), issue reacted (609), rogues reacted (6), quakers reacted (30), amounts reacted (64), ships reacted (81), university reacted (2,860), french reacted (2,650), car reacted (12,000), uk reacted (1,140), bunch reacted (410), bank reacted (12,700), court reacted (9,450), i reacted (1,120,000), voice reacted (288), regime reacted (7,260), theatre reacted (240), pope reacted (763), muslims reacted (22,000), boys reacted (8,900), fleece reacted (2), wool reacted (34), class reacted (6,950), celtics reacted (76), occ reacted (1), fbi reacted (443), water reacted (7,490), middle reacted (22), rodents reacted (72), colors reacted (71), crowds reacted (1,470), elite reacted (712),
Terms: the are reacting (73), industry are reacting (679), markets are reacting (45,700), crew are reacting (23), world are reacting (7,080), audience are reacting (306), market are reacting (432), fully are reacting (0), non are reacting (0), speech are reacting (0), kb are reacting (0), fed are reacting (17), search are reacting (0), dog are reacting (7), public are reacting (800), family are reacting (303), residents are reacting (1,760), amazonians are reacting (0), protesters are reacting (49), dollar are reacting (21), region are reacting (325), slaves are reacting (5), press are reacting (76), kids are reacting (2,640), us are reacting (1,840), fdny are reacting (1), hostiles are reacting (0), serbians are reacting (6), geeks are reacting (5), australians are reacting (339), japanese are reacting (55), opposition are reacting (13), fdic are reacting (0), alcohol are reacting (7), aclohol are reacting (0), russians are reacting (542), atlantic are reacting (18), british are reacting (30), body are reacting (469), government are reacting (644), president are reacting (21), people are reacting (293,000), aniline are reacting (0), cells are reacting (963), chimp are reacting (0), economy are reacting (70), colonists are reacting (0), crowd are reacting (318), un are reacting (4), canines are reacting (0), burbles are reacting (0), romans are reacting (0), lacquer are reacting (0), obamas are reacting (72), pacific are reacting (4), regents are reacting (0), device are reacting (2), police are reacting (786), xp are reacting (36), keeper are reacting (0), has are reacting (0), aisle are reacting (38), yesterday are reacting (1), troops are reacting (58), military are reacting (20), s are reacting (59), guards are reacting (32), ankle are reacting (1), sailor are reacting (0), patriarch are reacting (0), plant are reacting (5), americas are reacting (0), ocean are reacting (0), germans are reacting (157), legislature are reacting (9), pieces are reacting (8), choson are reacting (0), media are reacting (1,250), officials are reacting (7,770), peloton are reacting (0), state are reacting (493), participants are reacting (978), room are reacting (29), donor are reacting (0), navy are reacting (1), and are reacting (35,100), other are reacting (43), country are reacting (1,900), tissue are reacting (1), dbj are reacting (0), board are reacting (77), fans are reacting (21,000), masses are reacting (70), sensex are reacting (0), reviewer are reacting (0), players are reacting (4,070), equipment are reacting (2), drivers are reacting (993), city are reacting (395), students are reacting (11,200), web are reacting (7), wehrmacht are reacting (0), house are reacting (34), reformation are reacting (0), community are reacting (878), archbishop are reacting (0), junta are reacting (0), opponent are reacting (1), doctor are reacting (3), chinese are reacting (376), jews are reacting (266), sector are reacting (50), readers are reacting (1,870), cdc are reacting (0), team are reacting (77), palestinians are reacting (734), west are reacting (48), wood are reacting (3), phosphoramide are reacting (0), antibodies are reacting (81), kremlin are reacting (3), hair are reacting (5), time are reacting (37), conservatives are reacting (934), town are reacting (31), lord are reacting (3), husband are reacting (14), meantime are reacting (1), diocese are reacting (0), staff are reacting (395), women are reacting (10,600), subject are reacting (3), oxygen are reacting (16), province are reacting (12), population are reacting (18), bucs are reacting (3), have are reacting (56), manager are reacting (2), natives are reacting (13), patient are reacting (2), directors are reacting (39), crewmen are reacting (2), plan are reacting (13), genre are reacting (2), giants are reacting (17), polyps are reacting (0), clusters are reacting (14), rates are reacting (475), nhlpa are reacting (0), golfer are reacting (0), dax are reacting (1), musicians are reacting (81), ger are reacting (0), blocks are reacting (2), epichlorohydrin are reacting (0), employers are reacting (1,480), pupils are reacting (461), coalition are reacting (1), senate are reacting (33), fraction are reacting (1), amount are reacting (0), ussr are reacting (4), army are reacting (14), father are reacting (7), wolves are reacting (4), rocks are reacting (2), administration are reacting (78), hacienda are reacting (0), forum are reacting (87), south are reacting (14), dong are reacting (0), nra are reacting (1), pellets are reacting (0), clerk are reacting (4), founders are reacting (3), ray are reacting (0), group are reacting (54), church are reacting (55), supermarkets are reacting (39), strains are reacting (4), sera are reacting (6), sharemarket are reacting (0), spurs are reacting (0), mavericks are reacting (0), son are reacting (7), redskins are reacting (0), tragedy are reacting (0), aclu are reacting (1), authorities are reacting (1,350), zelosians are reacting (0), humans are reacting (258), actual are reacting (0), homeless are reacting (7), strands are reacting (0), brain are reacting (58), case are reacting (11), client are reacting (2), bronx are reacting (0), sheep are reacting (23), fluid are reacting (0), tag are reacting (0), party are reacting (41), southland are reacting (2), diyanet are reacting (0), prisoners are reacting (9), males are reacting (27), dad are reacting (4), soldiers are reacting (343), material are reacting (7), ecb are reacting (1), two are reacting (95), plane are reacting (7), union are reacting (34), surface are reacting (4), annunciation are reacting (0), faithful are reacting (36), fragment are reacting (0), kitten are reacting (0), republicans are reacting (8,380), usa are reacting (36), nikkei are reacting (2), profession are reacting (7), council are reacting (75), colony are reacting (0), boy are reacting (4), nation are reacting (919), parent are reacting (8), members are reacting (3,850), school are reacting (110), force are reacting (162), pressure are reacting (7), investor are reacting (6), diamond are reacting (1), locals are reacting (325), stock are reacting (124), company are reacting (51), colonies are reacting (12), newspaper are reacting (3), dow are reacting (2), elephants are reacting (9), blood are reacting (10), chemical are reacting (2), arabs are reacting (314), rats are reacting (6), nazis are reacting (8), youngsters are reacting (18), parade are reacting (0), scene are reacting (31), widow are reacting (0), agreement are reacting (0), issue are reacting (32), rogues are reacting (1), quakers are reacting (0), amounts are reacting (0), ships are reacting (20), university are reacting (30), french are reacting (117), car are reacting (26), uk are reacting (86), bunch are reacting (2), bank are reacting (14), court are reacting (3), i are reacting (395), voice are reacting (4), regime are reacting (2), theatre are reacting (4), pope are reacting (0), muslims are reacting (1,680), boys are reacting (247), fleece are reacting (0), wool are reacting (14), class are reacting (18), celtics are reacting (0), occ are reacting (0), fbi are reacting (4), water are reacting (35), middle are reacting (1), rodents are reacting (0), colors are reacting (5), crowds are reacting (372), elite are reacting (61),
Terms: the are (17,200,000), industry are (16,900,000), markets are (36,700,000), crew are (6,340,000), world are (58,500,000), audience are (3,120,000), market are (15,100,000), fully are (117,000), non are (115,000), speech are (2,190,000), kb are (262,000), fed are (555,000), search are (24,100,000), dog are (11,100,000), public are (11,700,000), family are (29,800,000), residents are (32,800,000), amazonians are (1,560), protesters are (1,990,000), dollar are (1,150,000), region are (15,100,000), slaves are (1,610,000), press are (4,650,000), kids are (80,800,000), us are (13,000,000), fdny are (8,250), hostiles are (27,600), serbians are (40,400), geeks are (2,260,000), australians are (4,500,000), japanese are (3,940,000), opposition are (1,140,000), fdic are (173,000), alcohol are (2,520,000), aclohol are (21), russians are (4,130,000), atlantic are (786,000), british are (3,150,000), body are (9,520,000), government are (18,100,000), president are (3,400,000), people are (683,000,000), aniline are (7,570), cells are (28,800,000), chimp are (30,000), economy are (9,450,000), colonists are (212,000), crowd are (2,670,000), un are (623,000), canines are (689,000), burbles are (443), romans are (502,000), lacquer are (76,900), obamas are (733,000), pacific are (1,180,000), regents are (304,000), device are (3,970,000), police are (49,900,000), xp are (1,120,000), keeper are (114,000), has are (1,550,000), aisle are (456,000), yesterday are (1,120,000), troops are (14,500,000), military are (3,580,000), s are (92,300,000), guards are (4,980,000), ankle are (348,000), sailor are (61,900), patriarch are (18,500), plant are (3,610,000), americas are (578,000), ocean are (1,700,000), germans are (3,240,000), legislature are (1,070,000), pieces are (27,600,000), choson are (262), media are (26,700,000), officials are (44,000,000), peloton are (13,800), state are (19,400,000), participants are (33,300,000), room are (7,820,000), donor are (298,000), navy are (603,000), and are (1,290,000,000), other are (7,530,000), country are (33,500,000), tissue are (1,230,000), dbj are (475), board are (13,600,000), fans are (43,400,000), masses are (3,720,000), sensex are (33,200), reviewer are (142,000), players are (61,300,000), equipment are (20,800,000), drivers are (26,900,000), city are (17,300,000), students are (155,000,000), web are (5,800,000), wehrmacht are (1,940), house are (10,900,000), reformation are (93,300), community are (18,400,000), archbishop are (20,100), junta are (82,400), opponent are (400,000), doctor are (1,310,000), chinese are (6,470,000), jews are (10,800,000), sector are (8,790,000), readers are (46,000,000), cdc are (295,000), team are (29,400,000), palestinians are (7,180,000), west are (5,770,000), wood are (2,170,000), phosphoramide are (33), antibodies are (2,390,000), kremlin are (71,700), hair are (2,410,000), time are (30,300,000), conservatives are (9,080,000), town are (6,390,000), lord are (2,780,000), husband are (3,660,000), meantime are (201,000), diocese are (307,000), staff are (70,200,000), women are (112,000,000), subject are (4,620,000), oxygen are (909,000), province are (2,330,000), population are (11,100,000), bucs are (548,000), have are (14,700,000), manager are (2,800,000), natives are (2,460,000), patient are (1,360,000), directors are (11,900,000), crewmen are (100,000), plan are (11,200,000), genre are (1,030,000), giants are (5,570,000), polyps are (466,000), clusters are (3,670,000), rates are (145,000,000), nhlpa are (8,050), golfer are (68,900), dax are (27,800), musicians are (6,340,000), ger are (30,400), blocks are (9,800,000), epichlorohydrin are (1,580), employers are (17,600,000), pupils are (5,130,000), coalition are (1,010,000), senate are (2,260,000), fraction are (527,000), amount are (1,470,000), ussr are (142,000), army are (2,530,000), father are (3,600,000), wolves are (2,710,000), rocks are (4,930,000), administration are (6,130,000), hacienda are (17,600), forum are (12,800,000), south are (4,550,000), dong are (42,000), nra are (103,000), pellets are (1,210,000), clerk are (344,000), founders are (1,350,000), ray are (1,040,000), group are (29,000,000), church are (7,160,000), supermarkets are (2,010,000), strains are (2,770,000), sera are (138,000), sharemarket are (1,110), spurs are (2,280,000), mavericks are (601,000), son are (3,290,000), redskins are (765,000), tragedy are (453,000), aclu are (167,000), authorities are (23,500,000), zelosians are (11), humans are (33,500,000), actual are (82,200), homeless are (1,230,000), strands are (1,490,000), brain are (3,290,000), case are (11,200,000), client are (3,910,000), bronx are (175,000), sheep are (3,810,000), fluid are (591,000), tag are (1,090,000), party are (8,420,000), southland are (30,200), diyanet are (20), prisoners are (5,060,000), males are (7,580,000), dad are (3,820,000), soldiers are (14,500,000), material are (33,100,000), ecb are (166,000), two are (56,100,000), plane are (1,260,000), union are (4,650,000), surface are (2,960,000), annunciation are (4,030), faithful are (1,620,000), fragment are (164,000), kitten are (147,000), republicans are (27,800,000), usa are (15,700,000), nikkei are (9,560), profession are (1,490,000), council are (8,570,000), colony are (332,000), boy are (5,150,000), nation are (8,320,000), parent are (1,450,000), members are (164,000,000), school are (17,300,000), force are (4,840,000), pressure are (2,800,000), investor are (381,000), diamond are (604,000), locals are (4,980,000), stock are (4,730,000), company are (22,400,000), colonies are (1,770,000), newspaper are (1,360,000), dow are (153,000), elephants are (2,280,000), blood are (2,490,000), chemical are (363,000), arabs are (3,420,000), rats are (3,000,000), nazis are (1,070,000), youngsters are (2,640,000), parade are (3,340,000), scene are (2,130,000), widow are (90,900), agreement are (7,820,000), issue are (6,980,000), rogues are (402,000), quakers are (341,000), amounts are (12,700,000), ships are (7,380,000), university are (8,820,000), french are (4,420,000), car are (5,040,000), uk are (14,900,000), bunch are (528,000), bank are (7,240,000), court are (4,690,000), i are (95,400,000), voice are (4,350,000), regime are (1,650,000), theatre are (1,350,000), pope are (324,000), muslims are (11,500,000), boys are (29,900,000), fleece are (92,100), wool are (355,000), class are (11,400,000), celtics are (1,510,000), occ are (34,700), fbi are (894,000), water are (13,000,000), middle are (984,000), rodents are (900,000), colors are (37,900,000), crowds are (2,910,000), elite are (1,730,000),
Boolean: "magnetic *" +(femtometer OR femtometers) (23,600),
Terms: magnetic dipole (439,000), magnetic fields (13,200,000), magnetic proton (2,180), magnetic tunnel (153,000), magnetic random (116,000), magnetic copper (214,000), magnetic haynes (6), magnetic survey (258,000), magnetic moment (1,000,000), magnetic layers (103,000), magnetic torque (65,700), magnetic plasma (31,500), magnetic alloys (113,000), magnetic fluids (107,000), magnetic decays (14), magnetic effect (225,000), magnetic energy (1,160,000), magnetic square (20,100), magnetic forces (713,000), magnetic double (46,600), magnetic memory (247,000), magnetic lenses (51,700), magnetic stripe (3,100,000), magnetic strong (58,400), magnetic grains (35,600), magnetic shafts (587), magnetic system (288,000), magnetic health (366,000), magnetic switch (394,000), magnetic probes (31,300), magnetic chiral (468), magnetic fusion (269,000), magnetic dither (6), magnetic field (20,300,000), magnetic loops (108,000), magnetic alloy (104,000), magnetic doped (88), magnetic hooks (288,000), magnetic campo (14), magnetic storm (339,000), magnetic filed (40,600), magnetic noise (78,300), magnetic drive (1,280,000), magnetic layer (170,000), magnetic fluid (364,000), magnetic steel (194,000), magnetic order (181,000), magnetic rotor (40,400), magnetic based (91,200), magnetic waves (435,000), magnetic force (1,820,000), magnetic photo (894,000), magnetic poles (732,000), magnetic beads (1,010,000), magnetic north (1,530,000), magnetic modes (13,400), magnetic atoms (115,000), magnetic terms (341,000), magnetic lines (237,000), magnetic cross (30,700), magnetic probe (72,900), magnetic guide (19,600), magnetic axial (982), magnetic radii (244), magnetic flux (1,800,000), magnetic ally (185), magnetic look (7,820), magnetic data (767,000), magnetic trap (123,000), magnetic anti (67,700), magnetic cusp (2,940), magnetic tape (3,620,000), magnetic head (400,000), magnetic abbr (7), magnetic base (1,090,000), magnetic mome (33), magnetic core (718,000), magnetic pole (756,000), magnetic mass (26,900), magnetic rods (38,600), magnetic rail (29,100), magnetic bits (43,000), magnetic disk (735,000), magnetic weak (1,600), magnetic form (153,000), magnetic elec (321), magnetic reso (155,000), magnetic spin (92,400), magnetic film (139,000), magnetic blog (4,290), magnetic exci (218), magnetic eld (1,310,000), magnetic pit (288), magnetic tip (186,000), magnetic deg (38), magnetic ram (152,000), magnetic and (4,520,000), magnetic its (9,070), magnetic mag (73,400), magnetic res (826,000), magnetic www (12,500), magnetic etc (27,400), magnetic vnn (0), magnetic ore (19,500), magnetic the (310,000), magnetic al (1,350), magnetic tm (27,600), magnetic or (1,340,000), magnetic by (108,000), magnetic em (39,600), magnetic ne (797), magnetic at (138,000), magnetic in (357,000), magnetic a (166,000), magnetic o (2,060), magnetic s (51,400), magnetic q (10,200), magnetic l (60,800),
Boolean: noninvasive +surgical +human (1,980,000), noninvasive +(surgery OR surgical) (8,910,000),
Terms: take (7,570,000,000), takes (2,130,000,000), am taking (15,200,000), is taking (155,000,000), are taking (128,000,000), have taken (249,000,000), has taken (218,000,000), have been taking (13,100,000), has been taking (9,500,000), took (1,970,000,000), was taking (50,300,000), were taking (22,600,000), had taken (82,500,000), had been taking (3,080,000), will take (614,000,000), shall take (23,300,000), will be taking (25,400,000), will have taken (1,480,000), will have been taking (3,590),
Terms: shake (245,000,000), shakes (65,300,000), am shaking (285,000), is shaking (2,790,000), are shaking (1,790,000), have shaken (1,830,000), has shaken (2,330,000), have been shaking (132,000), has been shaking (151,000), shook (72,400,000), was shaking (4,690,000), were shaking (1,640,000), had shaken (831,000), had been shaking (45,400), will shake (3,660,000), shall shake (189,000), will be shaking (202,000), will have shaken (14,800), will have been shaking (89),
Terms: listen (1,300,000,000), listens (54,300,000), am listening (3,480,000), is listening (11,900,000), are listening (15,800,000), have listened (11,000,000), has listened (3,110,000), have been listening (4,020,000), has been listening (860,000), listened (155,000,000), was listening (15,500,000), were listening (3,770,000), had listened (3,030,000), had been listening (976,000), will listen (19,800,000), shall listen (318,000), will be listening (1,340,000), will have listened (27,800), will have been listening (1,310),
to go conjugation in English, English verb conjugator, conjugation table- Reverso
Terms: go (8,180,000,000), goes (1,810,000,000), going (4,120,000,000), is going (721,000,000), are going (536,000,000), went (1,820,000,000), gone (1,260,000,000), have gone (184,000,000), had gone (72,200,000), will have gone (1,190,000), shall have gone (31,600), were going (124,000,000), will be going (25,800,000), have been going (26,000,000), was going (417,000,000), will have been going (20,900), will have been gone (25,500), will be gone (11,500,000),
Terms: would go (142,000,000), should go (114,000,000), could go (115,000,000), might go (23,800,000), probably go (12,300,000), maybe go (2,910,000), ought to go (3,970,000), can go (305,000,000), may go (41,900,000), will go (236,000,000), shall go (8,020,000), will not go (20,800,000), shall not go (1,100,000), may not go (2,740,000), should not go (4,700,000), could not go (4,910,000), ought not to go (79,200), oughtn't go (886), shouldn't go (3,690,000), can't go (57,400,000), cannot go (15,100,000), can not go (2,400,000),
Terms: would (7,770,000,000), should (6,150,000,000), could (5,390,000,000), might (3,260,000,000), probably will (32,000,000), probably should (16,500,000), probably would (34,800,000), probably might (307,000), probably could (8,050,000), may (11,700,000,000), maybe (1,530,000,000), ought (160,000,000), can (15,400,000,000), shall (804,000,000), will (15,500,000,000), may not (1,600,000,000), maybe not (62,400,000), ought not (11,300,000), can not (284,000,000), shall not (242,000,000), will not (2,160,000,000), cannot (2,110,000,000), could not (565,000,000), should not (668,000,000), would not (659,000,000), should not (668,000,000), would go (142,000,000), would have gone (13,700,000), can't (2,920,000,000), mayn't (277,000), shouldn't (389,000,000), couldn't (862,000,000), outn't (351),
Terms: have gone (184,000,000), has gone (182,000,000), have been going (26,000,000), has been going (25,500,000), went (1,820,000,000), was going (417,000,000), were going (124,000,000), had gone (72,200,000), had been going (5,060,000), will go (236,000,000), shall go (8,020,000), will be going (25,800,000), will have gone (1,190,000), will have been going (20,900), having gone (7,210,000), to go (2,210,000,000), going (4,120,000,000),
Terms: i go (264,000,000), i went (416,000,000), you go (484,000,000), you went (41,100,000), he goes (66,100,000), he went (150,000,000), she goes (33,200,000), she went (60,300,000), it goes (157,000,000), it went (75,100,000), we go (192,000,000), we went (160,000,000), they go (130,000,000), they went (74,300,000), i am going (140,000,000), i have gone (14,900,000), i will go (23,500,000), i will have gone (36,900), you are going (124,000,000), you have gone (5,480,000), you will go (11,400,000), you will have gone (68,200), he is going (28,300,000), he has gone (5,580,000), he will go (6,180,000), he will have gone (35,400), she is going (13,400,000), she has gone (2,520,000), she will go (2,400,000), she will have gone (17,900), it is going (44,700,000), it has gone (8,910,000), it will go (20,000,000), it will have gone (16,300), we are going (109,000,000), we have gone (8,210,000), we will go (14,600,000), we will have gone (61,500), they are going (64,100,000), they have gone (6,270,000), they will go (11,300,000), they will have gone (49,400), i was going (105,000,000), i had gone (6,230,000), i will be going (5,100,000), i have been going (10,900,000), you were going (16,300,000), you had gone (749,000), you will be going (993,000), you have been going (385,000), he was going (47,300,000), he had gone (6,560,000), he will be going (624,000), he has been going (355,000), she was going (19,100,000), she had gone (3,020,000), she will be going (352,000), she has been going (235,000), it was going (37,200,000), it had gone (2,400,000), it will be going (524,000), it has been going (1,210,000), we were going (32,100,000), we had gone (2,260,000), we will be going (2,730,000), we have been going (2,710,000), they were going (32,900,000), they had gone (3,400,000), they will be going (756,000), they have been going (524,000), i had been going (634,000), i will have been going (1,240), you had been going (14,900), you will have been going (118), he had been going (243,000), he will have been going (89), she had been going (127,000), she will have been going (24), it had been going (221,000), it will have been going (306), we had been going (223,000), we will have been going (1,110), they had been going (137,000), they will have been going (247),