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