Difference between revisions of "Kaingang/Transducer"
From LING073
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Translation time: 0.0059816837310791016 seconds | Translation time: 0.0059816837310791016 seconds | ||
*How much each word added to the coverage (percentage each individual word added): | *How much each word added to the coverage (percentage each individual word added): | ||
| − | ** tóg | + | ** tóg -> 32.16% - 26.94% = 5.22% |
| − | ** tỹ | + | ** tỹ -> 30.78% - 26.94% = 3.84% |
| − | ** mỹ | + | ** mỹ -> 29.85% - 26.94% = 2.91% |
| − | ** vỹ | + | ** vỹ -> 28.78% - 26.94% = 1.84% |
| − | ** jé | + | ** jé -> 28.17% - 26.94% = 1.53% |
== Notes == | == Notes == | ||
| − | *Total number of stems in the transducer | + | *Total number of stems in the transducer: |
$ lexccounter apertium-kgp.kgp.lexc | $ lexccounter apertium-kgp.kgp.lexc | ||
Unique entries: 105 | Unique entries: 105 | ||
| Line 119: | Line 119: | ||
*Tests: | *Tests: | ||
**No tests in kgp.yaml fail. | **No tests in kgp.yaml fail. | ||
| − | **out of 20 of the tests in commonwords.yaml pass. | + | **5 out of 20 of the tests in commonwords.yaml pass. |
[[Category:Sp18_Transducers]] | [[Category:Sp18_Transducers]] | ||
[[Category:Kaingang]] | [[Category:Kaingang]] | ||
Revision as of 21:33, 22 February 2019
[1] Link to Kaingang Transducer
Evaluations
- First evaluation of coverage 2/21/19 5:02PM:
$ aq-covtest ling073-kgp-corpus/kgp.corpus.basic.txt ling073-kgp/kgp.automorf.bin Number of tokenised words in the corpus: 1303 Coverage: 26.94% Top unknown words in the corpus: 68 tóg 49 tỹ 44 mũ 42 nĩ 38 mỹ 36 ẽg 33 tĩ 24 vỹ 21 ki 20 han 19 ke 19 to 17 Topẽ 16 jé 16 kar 15 vẽnh 14 h 13 vĩ 12 vẽ 11 ũ Translation time: 0.005640268325805664 seconds
- Many of these top unknown words are included in our wiki and even in our morph tests. They just happen to be markers, which are added to nouns, verbs, or pronouns to indicate something about them.
| Kaingang | Approximate Meaning | Classification |
|---|---|---|
| tóg | subject is agent | subject indicator |
| tỹ | agent is ergative, topic marker | subject indicator |
| mũ | doing, 'indicates a plural verb (action is done repeatedly)' | might be a verb in some instances? verb marker |
| nĩ | in the situation of doing the associated verb, gerund? | situational/continuous marker |
| mỹ | subject in a yes-or-no question | subject indicator |
| ẽg | ? | ? |
| tĩ | habitually | verb habitual marker |
| vỹ | subject is topic | subject indicator |
| ki | in, on, at | circumstance marker |
| han | to get better | verb |
| ke | leftovers, remaining | noun |
| to | to, in the direction of | circumstance marker |
| Topẽ | God, anything sacred, to pray | noun, verb |
| jé | subject expects/anticipates the action, speaker desires the action | subject indicator |
| tĩ | habitually | verb habitual marker |
| kar | all | noun |
| vẽnh | of oneself | reflexive pronoun |
| h | ? | ? |
| vĩ | word, speech, to speak | noun, verb |
| vẽ | is, was, ergative | aspect marker |
| ũ | makes indefinite noun | indefinite noun marker |
- UPDATE Added words that are subject indicators (tóg, tỹ, mỹ, vỹ, jé) with <subj>. The second evaluation of coverage, now with added subject indicators, 2/22/19 4:10PM:
$ aq-covtest ling073-kgp-corpus/kgp.corpus.basic.txt ling073-kgp/kgp.automorf.bin Number of tokenised words in the corpus: 1303 Coverage: 41.98% Top unknown words in the corpus: 44 mũ 42 nĩ 36 ẽg 33 tĩ 21 ki 20 han 19 ke 19 to 17 Topẽ 16 kar 15 vẽnh 14 h 13 vĩ 12 vẽ 11 ũ 11 nén 9 ẽn 9 Ẽg 8 Jesus 8 José Translation time: 0.0059816837310791016 seconds
- How much each word added to the coverage (percentage each individual word added):
- tóg -> 32.16% - 26.94% = 5.22%
- tỹ -> 30.78% - 26.94% = 3.84%
- mỹ -> 29.85% - 26.94% = 2.91%
- vỹ -> 28.78% - 26.94% = 1.84%
- jé -> 28.17% - 26.94% = 1.53%
Notes
- Total number of stems in the transducer:
$ lexccounter apertium-kgp.kgp.lexc Unique entries: 105
- Current coverage over combined corpus: 41.98%
- Current list of unknown words returned by aq-covtest: mũ (44), nĩ (42), ẽg (36), tĩ (33), ki (21), han (20), ke (19), to (17), Topẽ (16), kar (15), vẽnh (14), h (13), vĩ (12), vẽ (11), ũ (11), nén (9), ẽn (9), Ẽg (8), Jesus José (8)
- Tests:
- No tests in kgp.yaml fail.
- 5 out of 20 of the tests in commonwords.yaml pass.