<prompt> Faankishinii jechoota gara maqaa, gocha, fi maqibsiitti ramaduuf ijaari.nan  <response>: Karaan jechoota kutaa dubbii isaaniitti ramaduu dandaan tokko tooftaalee adeemsa afaan uumamaa NLP kan akka Kutaalee Dubbii POS tagging fayyadamuudha. Asitti, mana kitaabaa Meeshaa Afaan Uumamaa Paayitanii NLTK fayyadamuun faankishinii jechoota gara maqaa, gocha, fi maqaa maqaatti ramadu nan ijaara: python import nltk from nltk.corpus import wordnet nltk.downloadaveraged_perceptron_tagger nltk.download wordnet def classify_wordsword: mana kitaabaa nltk fayyadami POS tagging part_of_speech nltk.pos_tagword01 mallattoolee POS kanneen maqaa, gocha, fi maqaa bakka buan ibsi noun_tags NN, NNS, NNP, NNPS mallattoo_gocha VB, VBD, VBG, VBN, VBP, VBZ mallattoo_maqaa JJ. , JJR, JJS mallattoon POS jecha kenname mallattoolee ibsaman kamiyyuu wajjin walsimuu isaa mirkaneessi yoo kutaan_haasawa mallattoo_maqaa keessatti: Maqaa deebisi elif kutaa_dubbii_mallattoo_gocha keessatti: Gocha deebisi elif kutaa_haasawa mallattoo_maqaa keessatti: return Adjective else: return Other Faankishinii kana qorachuuf jechoota adda addaa ramaduu haa yaalluu: python Faankishinii jechoota_rama classify_wordscat buaa eegamu: Maqaa maxxansaaclassify_words qorachuu. utaaluu buaa eegamu: Gocha maxxansaajechoota_ramagammachuu buaa eegamu: Maqibsa maxxansaajechoota_ramadaffisaan buaa eegamu: Gochima Furmaanni fakkeenyaa kun maqaawwan sirritti adda baasuu akka dandau hubadhu, gochaalee, fi maqaawwan, garuu faankishinichi Maqaa, Gocha, Maqaa, ykn Kanneen biroo keessaa tokko qofa akka deebisuuf waan qophaaeef kutaalee dubbii biroo kan akka gochima sirritti ramaduu hin dandau ture. 