Difference between revisions of "Walloon and English/AmbiguityResolution"
From LING073
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*<code>wln</code>: Il vindrè '''di''' Liège. | *<code>wln</code>: Il vindrè '''di''' Liège. | ||
*analysis: ^Il/il<prn><p3><sg>$ ^vindrè/vindr{ER}<v><fut><p3><sg>$ ^di/di<pr>$ | *analysis: ^Il/il<prn><p3><sg>$ ^vindrè/vindr{ER}<v><fut><p3><sg>$ ^di/di<pr>$ | ||
| − | *<code>eng</code>: He will come | + | *<code>eng</code>: He will come '''from''' Liège. |
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| − | *Rule: if verb is immediately before <code>di</code>, translate as **from**; otherwise default to | + | *Rule: if verb is immediately before <code>di</code>, translate as **from**; otherwise default to '''of'''. |
==Final Evaluation of Ambiguity== | ==Final Evaluation of Ambiguity== | ||
Revision as of 17:21, 27 April 2025
Contents
Initial Evaluation of Ambiguity
- Parallel sentences (
wln.sentences.txt) - Tokens – 86
- Analyses – 91
- Ambiguity – **1.06**
- Largest monolingual corpus (
wln.corpus.basic.txt) - Tokens – 1,356
- Analyses – 1,381
- Ambiguity – **1.018**
Identified Ambiguity
Morphological ambiguity
wln: Dji houke mes amîs.- analysis: ^Dji/dji<prn><p1><sg>$ ^houke/houker<v><pres><p1><sg>/houker<v><pres><p3><sg>$
eng: I call my friends.
wln: Djezus houke sès prumîs dissipes.- analysis: ^Djezus/Djezus<np><ant><m><sg>$ ^houke/houker<v><pres><p1><sg>/houker<v><pres><p3><sg>$
eng: Jesus calls his first disciples.
- Rule: when a 1 sg pronoun (
dji) precedes the verb, select thep1reading, when a 3 sg pronoun (i / l') precedes, or no cue, selectp3.
- Extra picks between
s'<det><poss> and <prn> by looking at the following chunk (noun -> <det><poss>; verb -> <prn>).
Lexical ambiguity
wln: Il vindrè di Liège.- analysis: ^Il/il<prn><p3><sg>$ ^vindrè/vindr{ER}<v><fut><p3><sg>$ ^di/di<pr>$
eng: He will come from Liège.
wln: On djoû di djuillet.- analysis: ^On/on<det><ind><m><sg>$ ^djoû/djoû<n><m><sg>$ ^di/di<pr>$
eng: A day of July.
- Rule: if verb is immediately before
di, translate as **from**; otherwise default to of.
Final Evaluation of Ambiguity
- Parallel sentences - analyses: 86 / tokens: 86, **1.00**
- Largest monolingual corpus - analyses: 1,357 / tokens: 1,356, **1.001**
