Difference between revisions of "Fijian and English"

From LING073
Jump to: navigation, search
(eng → fij evaluation)
(fij → eng one-to-many mapping)
Line 84: Line 84:
  
 
===fij → eng one-to-many mapping===
 
===fij → eng one-to-many mapping===
*Case 1:
+
*Case 1:Fijian does not distinguish genders on pronouns.
 +
 
 +
{{transferTest|fij|eng|koya|him}}
 +
 
 +
{{transferTest|fij|eng|koya|her}}
 +
 
 +
{{transferTest|fij|eng|koya|it}}
 +
 
 
*Case 2:
 
*Case 2:
 
(These are disambiguation problems)
 
(These are disambiguation problems)
Line 92: Line 99:
  
 
{{transferTest|fij|eng|levu|be a lot}} (v)
 
{{transferTest|fij|eng|levu|be a lot}} (v)
 
Fijian does not distinguish genders on pronouns.
 
 
{{transferTest|fij|eng|koya|him}}
 
 
{{transferTest|fij|eng|koya|her}}
 
 
{{transferTest|fij|eng|koya|it}}
 
  
 
==Contrastive Grammar==
 
==Contrastive Grammar==

Revision as of 08:31, 5 April 2018

Resources for machine translation between Fijian and English

fij → eng evaluation

Current WER and PER:

Test file: 'fij-eng.tests.txt'
Reference file 'eng.tests.txt'

Statistics about input files
-------------------------------------------------------
Number of words in reference: 56
Number of words in test: 59
Number of unknown words (marked with a star) in test:
Percentage of unknown words: 0.00 %

Results when removing unknown-word marks (stars)
-------------------------------------------------------
Edit distance: 50
Word error rate (WER): 89.29 %
Number of position-independent correct words: 12
Position-independent word error rate (PER): 83.93 %

Results when unknown-word marks (stars) are not removed
-------------------------------------------------------
Edit distance: 50
Word Error Rate (WER): 89.29 %
Number of position-independent correct words: 12
Position-independent word error rate (PER): 83.93 %

Statistics about the translation of unknown words
-------------------------------------------------------
Number of unknown words which were free rides: 0
Percentage of unknown words that were free rides: 0%

eng → fij evaluation

Current WER and PER :

Test file: 'eng-fij.tests.txt'
Reference file 'fij.tests.txt'

Statistics about input files
-------------------------------------------------------
Number of words in reference: 62
Number of words in test: 56
Number of unknown words (marked with a star) in test: 2
Percentage of unknown words: 3.57 %

Results when removing unknown-word marks (stars)
-------------------------------------------------------
Edit distance: 52
Word error rate (WER): 83.87 %
Number of position-independent correct words: 13
Position-independent word error rate (PER): 79.03 %

Results when unknown-word marks (stars) are not removed
-------------------------------------------------------
Edit distance: 52
Word Error Rate (WER): 83.87 %
Number of position-independent correct words: 13
Position-independent word error rate (PER): 79.03 %

Statistics about the translation of unknown words
-------------------------------------------------------
Number of unknown words which were free rides: 0
Percentage of unknown words that were free rides: 0.00 %

Lexical Selection

eng → fij one-to-many mapping

  • Case 1: Pelu and lo’i describe two different kinds of bending action.

(eng) bend → (fij) pelu (e.g. bend of metal)

(eng) bend → (fij) lo’i (e.g. bend at a joint)

  • Case 2:

(This is a disambiguation problem) The third person singular pronoun in English does not distinguish between nominative and accusative case.

(eng) it → (fij) e (subj)

(eng) it → (fij) koya (obj)

fij → eng one-to-many mapping

  • Case 1:Fijian does not distinguish genders on pronouns.

(fij) koya → (eng) him

(fij) koya → (eng) her

(fij) koya → (eng) it

  • Case 2:

(These are disambiguation problems) The word levu can be used either as an adjective meaning "big", or a verb meaning "be a lot".

(fij) levu → (eng) big (adj)

(fij) levu → (eng) be a lot (v)

Contrastive Grammar

https://wikis.swarthmore.edu/ling073/Fijian_and_English/Contrastive_Grammar

Developed Resources for Machine Translation

https://github.swarthmore.edu/hwang11/ling073-fij-eng

https://github.swarthmore.edu/hwang11/ling073-fij-eng-corpus