Lemmatization uye Stemming Quiz

Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.

1. Ndeupi musiyano mukuru pakati pe stemming uye lemmatization?
   • Stemming inoshandisa zvisina kufanira suffix-kubvisa mitemo, nepo lemmatization inoisa mazwi kune chaiwo mafomu eduramazwi.
   • Stemming inoshandisa maduramazwi; lemmatization inoshandisa mitemo
   • Iwo maitiro akafanana
   • Stemming inoshanda panhamba chete
2. Chii chinogona kubuda muPorter stemmer yezwi rekuti 'zvidzidzo'?
   • kudzidza
   • studi
   • akadzidza
   • mudzidzi
3. When 'better' is used as a comparative adjective, which lemma may a lemmatizer return?
   • Betterness
   • Bet
   • Good
   • Wellness
4. Sei lemmatizer ichiwanzoda ruzivo rwechikamu-chekutaura?
   • Kuverenga mavara
   • Kuturikira izwi
   • Kuisa izwi guru
   • Kusarudza lemma chaiyo, sezvo zviperengo zvakafanana zvinogona kuva zita kana chiito
5. Ndeipi inowanzova CHOKWADI pamusoro pekumisikidza kana ichienzaniswa nelemmatization?
   • Stemming inokurumidza asi haina kunyatsojeka
   • Stemming inononoka uye yakarurama
   • Stemming inogara ichiburitsa mazwi eduramazwi
   • Stemming inoda WordNet
6. Ibetseroi inoshanda iyo nzira dzose dziri mbiri dzinogovera?
   • Vanoshandura zvinyorwa
   • Vanoderedza saizi yemazwi nekubatanidza mazwi akasiyana
   • Vanowedzera mazwi matsva
   • Vanonyora zvinyorwa
7. What does byte-pair encoding do when constructing subword units?
   • It strips every suffix using a fixed Porter rule
   • It assigns every word a single pronunciation
   • It iteratively merges frequent adjacent symbols into larger units
   • It replaces all tokens with part-of-speech labels
8. Why should stemming or lemmatization tools be checked separately for different languages?
   • Every language uses the same suffix rules
   • Lemmatizers can process only English verbs
   • Stemming produces identical output for every script
   • Morphology and useful normalization rules vary by language