Western Abenaki/Western Abenaki and English

Resources for translation between Western Abenaki and English.

External Resources

Language Pair repo

Western Abenaki Transducer

English Transducer

ABE → ENG Evaluation

• Monolingual Transducer Coverage
  • 228/689 forms (~33%)
• Bilingual Transducer Coverage
  • 21/72 forms (~29%)

Samples Sentences

Taken from Western Abenaki Food Sentences

• Agwôkazem majipogwad
  • ENGLISH: Burned food tastes bad.
  • abe-eng-biltrans: ^agwȣkazem<vb><tv><nn>/burned food<n>$ ^majipogwad<vb><iv><nn>/taste bad<vb>$
  • abe-eng: #burned food #taste bad

• Sôgaiwios wlipogwad
  • ENGLISH: Lobster meat tastes good.
  • abe-eng-biltrans: ^sȣgaiwios<n><nn>/lobster<n>$ ^wlipogwad<vb><iv><nn>/taste good<vb>$
  • abe-eng: #lobster #taste good

• N'cape pita osagipogwad
  • ENGLISH: My coffee tastes very bitter.
  • abe-eng-biltrans: ^cape<n><nn><px1sg>/coffee<n><px1sg>$ ^pita<adv>/very<adv>$ ^osagipogwad<vb><iv><nn>/taste bitter<vb>$
  • abe-eng: #coffee very #taste bitter

• Kd'achwi môwô aplesa kizi paskwaipowôgan
  • ENGLISH: You should eat an apple after lunch.
  • abe-eng-biltrans: ^achwi<vb><iv><aa>/should<vbaux>$ ^mow<vb><tv><aa>/eat<vb>$ ^aplesa<n><aa>/apple<n>$ ^kizi<pr>/after<pr>$ ^paskwaipowȣgan<n><nn>/lunch<n>$
  • abe-eng: #should #eat #apple after #lunch

• Iolil pagônisal pita dalawagipogwat
  • ENGLISH: These nuts are very crunchy.
  • abe-eng-biltrans: ^iolil<prn><det><nn>/these<det>$ ^pagȣnis<n><nn><pl>/nut<n><pl>$ ^pita<adv>/very<adv>$ ^dalawagipogwat<vb><iv><nn>/be crunchy<vb>$
  • abe-eng: #these nuts very #be crunchy

• Salsemimijowôgan ao wigawôjiwi pita bemioo
  • ENGLISH: Fried food is usually greasy.
  • abe-eng-biltrans: ^salsemimijowȣgan<n><nn>/fried food<n>$ ^ao<vbser><iv><aa>/be<vbser>$ ^wigawȣjiwi<adv>/often<adv>$ ^pita<adv>/very<adv>$ ^bemioo<vb><iv><nn>/are greasy<vb>$
  • abe-eng: #fried food #be often very #are greasy

• Kizachozijik kwanogazijik aplesak aoak pita minôboo
  • ENGLISH: Ripe pears are very juicy.
  • abe-eng-biltrans: ^Kizachozid<adj><aa><pl>/Ripe<adj><pl>$ ^kwanogazid<n><aa><pl>/pear<n><pl>$ ^aplesa<n><aa><loc>/apple<n><loc>$ ^ao<vb><iv><aa><prx><3pl>/be<vbser><prx><3pl>$ ^pita<adv>/very<adv>$ ^minȣboo<adj><aa>/juicy<adj><aa>$
  • abe-eng: #Ripe pears #apple #be very #juicy

• Môwap namasa ta kalakôna wji adlôgwipowôgan wlôgwiga
  • ENGLISH: She ate fish and chips for dinner last night.
  • abe-eng-biltrans: ^Mȣw<vb><tv><aa><past>/Eat<vb><past>$ ^namas<n><aa><px3sg>/fish<n><px3sg>$ ^ta<cnjcoo>/and<cnjcoo>$ ^kalakȣn<n><aa><px3sg>/cracker<n><px3sg>$ ^wji<pt><pr>/for<pr>$ ^adlȣgwipowȣgan<n><nn>/dinner<n>$ ^wlȣgwiga<adv>/coming evening<adv>$
  • abe-eng: #Eat #fish and #cracker for #dinner #coming evening

• Ponamen wizôwibemi alômiwi pkwamipaksek alaji agwôgwahla
  • ENGLISH: Store the butter in a fridge or it will go bad.
  • abe-eng-biltrans: ^Ponamen<vb><iv><nn>/Put<vb>$ ^wizȣwibemi<n><aa>/butter<n>$ ^alȣmiwi<pt><pr>/inside<pr>$ ^pkwamipaks<n><nn><loc>/fridge<n><loc>$ ^alaji<vb><iv><aa>/be like<sv>$ ^agwȣgwahla<vb><iv><nn>/become spoiled<vb>$
  • abe-eng: #Put #butter inside #fridge #be like #become spoiled

• Skamon, wasawa ta adbakwa liwitamenal Nhloak Witsakasoak Magwaikok
  • ENGLISH: Corn, squash and beans are called the Three Sisters among the Iroquois.
  • abe-eng-biltrans: ^Skamon<n><nn>/Corn<n>$, ^wasawa<n><nn>/squash<n>$ ^ta<cnjcoo>/and<cnjcoo>$ ^adbakwa<n><nn>/bean<n>$ ^liwitamen<vb><tv><nn><prx><3pl>/call<vb><prx><3pl>$ ^Nhloa<adj><aa><pl>/Three<num><pl>$ ^Itsakaso<n><aa><px3sg><pl>/Sister<n><px3sg><pl>$ ^Magwa<n><aa><loc><pl>/Iroquois<n><loc><pl>$
  • abe-eng: #Corn, #squash and #bean #call Three #Sister #Iroquois

Additions

• 5 morphological elements
• 4 .twol rules
• 2 structural transfer rules
• ~20 new stems

Final Evaluations

Monolingual Transducer

• Precision 31.897%
• Recall 63.793%
• Coverage (Large Corpus)
  • 27.5%
• Word Count (Large Corpus)
  • 6096
• 207 total stems

abe-eng

• WER (Longer Corpus) 87.43%
• PER (Longer Corpus) 87.43%
• Proportion Correct (Longer Corpus) 22/86
• Trimmed Coverage
  • Longer 64.83% over 381 words
  • Large 27.48% over 6069 words

Note

Trimmed coverage does not apply in this case as we have been adding all new stems to both the monolingual and bilingual dictionaries. This is easy to do as we are adding them by hand to a relatively small lexicon. We are getting conflicting outputs for number of words in our "Longer" corpus, and it appears that only some are included in the WER and PER tests.