“ tub ,elbacilppA toN <-https://translate.google.com/ has the option of the pronunciation representation, please see the screenshot attached. ”
“ ekil ,noitcnuf siht sedivorp bew etalsnarT elgooGhttps://translate.google.com/#zh-CN/en/%E4%BB%8A%E5%A4%A9%E6%88%91%E4%BB%AC%E9%83%BD%E6%98%AF%E4%B8%AD%E5%9B%BD%E4%BA%BA ”
“ tpircs eht gnisu IPA egaugnaL larutaN duolC elgooG eht deirt osla Ihttps://github.com/GoogleCloudPlatform/python-docs-samples/blob/master/language/api/analyze.py . But neither of ”
“ ) IPA egaugnaL larutaN duolC eht fo sisylana lacitcatnys eht esu tsrif ot eb dluoc hcaorppa enOhttps://cloud.google.com/natural-language/ ) to analyse the sentence into lexical units: ”
“ ) yranoitcid TCIDEC-CC eht elpmaxe rof - noitazinamor niynip gnidivorp yranoitcid a otni stinu eseht deef neht ot dnahttps://cc-cedict.org/wiki/ ). ”
“ ) loot iug etalsnart elgoog eht yb desoporp eno eht sa noitazinamor niynip emas eht erofereht dna