data/pytorch-text-0.6.0/examples/text_classification/iterable_train.py:190: avaialble ==> available
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6: goverment ==> government
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7: loosing ==> losing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:31: patten ==> pattern, patent
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:42: vie ==> via
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:91: herat ==> heart
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:123: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:147: enver ==> never
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:216: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:259: inthe ==> in the
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:275: heros ==> heroes
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:315: extention ==> extension
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:320: aci ==> acpi
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:334: revered ==> reversed
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:336: boundries ==> boundaries
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:455: connexion ==> connection
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:477: ot ==> to, of, or
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:705: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:758: scipt ==> script, skipped
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:790: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:822: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1028: compliancy ==> compliance
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1056: whet ==> when, what, wet
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1177: bellow ==> below
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1358: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1419: serie ==> series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1429: meaing ==> meaning
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1492: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1546: herat ==> heart
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1570: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1703: whats ==> what's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1752: ot ==> to, of, or
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1831: sting ==> string
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1831: sting ==> string
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1845: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1845: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1859: runnin ==> running
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1860: ba ==> by, be
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1908: corus ==> chorus
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:1908: corus ==> chorus
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2001: ot ==> to, of, or
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2053: serie ==> series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2065: ser ==> set
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2108: aquisition ==> acquisition
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2121: wasnt ==> wasn't
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2275: sting ==> string
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2347: ponting ==> pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2347: ponting ==> pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2476: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2539: serie ==> series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2580: tommorrow ==> tomorrow
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2587: doubleclick ==> double-click
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2587: doubleclick ==> double-click
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2587: crate ==> create
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2676: mot ==> not
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2676: mot ==> not
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2685: mot ==> not
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2685: mot ==> not
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2707: furst ==> first
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2754: targetting ==> targeting
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2813: theyre ==> they're, their, there
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2838: ponting ==> pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2838: ponting ==> pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2848: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2881: oen ==> one
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2904: ba ==> by, be
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2954: thats ==> that's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2962: fulfilment ==> fulfillment
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2995: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:2996: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3035: necessay ==> necessary
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3132: thats ==> that's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3177: rouge ==> rogue
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3177: rouge ==> rogue
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3184: thats ==> that's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3184: theres ==> there's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3204: nd ==> and, 2nd
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3245: isnt ==> isn't
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3265: aquires ==> acquires
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3278: steams ==> streams
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3329: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3376: softwares ==> software
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3400: rouge ==> rogue
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3448: ba ==> by, be
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3642: wither ==> either, whether, weather
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3710: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3957: revered ==> reversed
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3962: corse ==> course
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:3962: corse ==> course
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4038: wont ==> won't
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4051: fro ==> for, from
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4124: ot ==> to, of, or
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4170: ure ==> sure, ire, are, urea, rue
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4356: ot ==> to, of, or
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4468: kazakstan ==> kazakhstan
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4477: serie ==> series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4544: ponting ==> pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4641: fulfilment ==> fulfillment
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4687: ba ==> by, be
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4687: ba ==> by, be
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4692: millenium ==> millennium
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4750: microsft ==> microsoft
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4750: microsft ==> microsoft
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4849: linz ==> lines
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4849: linz ==> lines
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:4994: leary ==> leery
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5182: doubleclick ==> double-click
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5182: doubleclick ==> double-click
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5182: crate ==> create
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5243: massachussetts ==> massachusetts
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5278: patten ==> pattern, patent
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5387: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5474: serie ==> series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5564: serie ==> series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5646: ot ==> to, of, or
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5660: wee ==> we
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5726: cna ==> can
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5758: theyre ==> they're, their, there
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5895: revered ==> reversed
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:5905: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6027: theses ==> these, thesis
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6082: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6086: didnt ==> didn't
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6098: theses ==> these, thesis
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6191: hart ==> heart, harm
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6191: hart ==> heart, harm
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6289: wight ==> weight, white, right, write
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6307: appologies ==> apologies
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6330: nd ==> and, 2nd
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6405: mater ==> matter, master, mother
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6422: leary ==> leery
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6487: serie ==> series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6542: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6554: againt ==> against
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6554: serie ==> series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6628: theres ==> there's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6712: doesnt ==> doesn't, does not
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6836: singel ==> single, signal
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:6872: ot ==> to, of, or
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7055: commmunity ==> community
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7208: gameboy ==> game boy
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7235: ot ==> to, of, or
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7249: revered ==> reversed
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7257: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7312: pleas ==> please
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7474: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7543: connexion ==> connection
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7543: connexion ==> connection
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_ref_results.test:7551: releaased ==> released
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6: goverment ==> government
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7: Loosing ==> Losing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:31: Patten ==> Pattern, patent
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:42: Vie ==> Via
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:91: Herat ==> Heart
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:123: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:147: ENVER ==> NEVER
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:216: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:259: inthe ==> in the
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:275: heros ==> heroes
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:315: extention ==> extension
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:320: ACI ==> ACPI
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:334: revered ==> reversed
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:336: Boundries ==> Boundaries
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:455: Connexion ==> Connection
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:477: OT ==> TO, OF, OR
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:758: scipt ==> script, skipped
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:822: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1028: compliancy ==> compliance
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1056: whet ==> when, what, wet
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1177: bellow ==> below
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1419: Serie ==> Series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1429: meaing ==> meaning
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1492: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1546: Herat ==> Heart
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1703: Whats ==> What's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1752: OT ==> TO, OF, OR
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1831: Sting ==> String
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1831: Sting ==> String
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1845: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1845: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1860: BA ==> BY, BE
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1908: Corus ==> Chorus
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:1908: Corus ==> Chorus
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2001: OT ==> TO, OF, OR
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2053: Serie ==> Series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2065: Ser ==> Set
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2108: aquisition ==> acquisition
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2121: wasnt ==> wasn't
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2275: sting ==> string
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2347: Ponting ==> Pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2347: Ponting ==> Pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2476: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2539: Serie ==> Series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2580: tommorrow ==> tomorrow
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2587: doubleclick ==> double-click
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2587: doubleclick ==> double-click
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2587: Crate ==> Create
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2676: MOT ==> NOT
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2676: MOT ==> NOT
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2685: MOT ==> NOT
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2685: MOT ==> NOT
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2707: Furst ==> First
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2754: targetting ==> targeting
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2813: Theyre ==> They're, their, there
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2838: Ponting ==> Pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2838: Ponting ==> Pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2848: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2881: oen ==> one
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2904: BA ==> BY, BE
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2954: Thats ==> That's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2962: fulfilment ==> fulfillment
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2995: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:2996: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3035: necessay ==> necessary
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3132: Thats ==> That's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3177: Rouge ==> Rogue
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3177: Rouge ==> Rogue
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3184: thats ==> that's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3184: Theres ==> There's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3204: ND ==> AND, 2ND
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3245: isnt ==> isn't
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3265: aquires ==> acquires
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3278: steams ==> streams
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3329: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3376: softwares ==> software
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3400: Rouge ==> Rogue
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3448: BA ==> BY, BE
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3642: wither ==> either, whether, weather
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3710: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3957: revered ==> reversed
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3962: Corse ==> Course
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:3962: Corse ==> Course
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4038: wont ==> won't
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4051: Fro ==> For, from
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4124: OT ==> TO, OF, OR
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4170: Ure ==> Sure, ire, are, urea, rue
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4356: OT ==> TO, OF, OR
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4468: Kazakstan ==> Kazakhstan
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4477: Serie ==> Series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4544: Ponting ==> Pointing
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4641: fulfilment ==> fulfillment
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4687: BA ==> BY, BE
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4687: BA ==> BY, BE
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4692: Millenium ==> Millennium
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4750: Microsft ==> Microsoft
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4750: Microsft ==> Microsoft
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4849: Linz ==> Lines
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4849: Linz ==> Lines
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:4994: Leary ==> Leery
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5182: doubleclick ==> double-click
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5182: doubleclick ==> double-click
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5182: Crate ==> Create
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5243: Massachussetts ==> Massachusetts
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5278: Patten ==> Pattern, patent
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5387: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5474: Serie ==> Series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5564: Serie ==> Series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5646: OT ==> TO, OF, OR
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5660: wee ==> we
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5726: CNA ==> CAN
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5758: theyre ==> they're, their, there
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:5895: Revered ==> Reversed
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6027: theses ==> these, thesis
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6086: didnt ==> didn't
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6098: theses ==> these, thesis
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6191: Hart ==> Heart, harm
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6191: Hart ==> Heart, harm
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6289: Wight ==> Weight, white, right, write
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6307: appologies ==> apologies
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6330: ND ==> AND, 2ND
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6405: mater ==> matter, master, mother
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6422: Leary ==> Leery
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6487: Serie ==> Series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6542: wasn ==> wasn't, was
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6554: againt ==> against
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6554: Serie ==> Series
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6628: Theres ==> There's
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6712: doesnt ==> doesn't, does not
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6836: Singel ==> Single, signal
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:6872: OT ==> TO, OF, OR
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7055: commmunity ==> community
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7208: GameBoy ==> game boy
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7235: OT ==> TO, OF, OR
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7249: revered ==> reversed
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7257: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7312: pleas ==> please
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7474: bloc ==> block
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7543: Connexion ==> Connection
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7543: Connexion ==> Connection
data/pytorch-text-0.6.0/test/asset/text_normalization_ag_news_test.csv:7551: releaased ==> released
data/pytorch-text-0.6.0/test/data/test_pipeline.py:44: modfifying ==> modifying
data/pytorch-text-0.6.0/torchtext/utils.py:208: achives ==> achieves
data/pytorch-text-0.6.0/torchtext/vocab.py:33: classs ==> class
data/pytorch-text-0.6.0/torchtext/data/utils.py:104: Enlish ==> English, enlist
data/pytorch-text-0.6.0/torchtext/experimental/datasets/language_modeling.py:142: tupel ==> tuple
data/pytorch-text-0.6.0/torchtext/experimental/datasets/language_modeling.py:184: tupel ==> tuple
data/pytorch-text-0.6.0/torchtext/experimental/datasets/language_modeling.py:221: tupel ==> tuple