Difference between revisions of "Evenki and English/Lexical selection"

From LING073
Jump to: navigation, search
Line 1: Line 1:
 
===evn → eng===
 
===evn → eng===
−
[Two cases of a one to many mapping for translation]
+
 
 +
Find and document at least two cases of a one-to-many mapping for translation.
 +
 
 +
    First check any dictionary resources you have for words with multiple translations. Things like lacking a hand/arm or sun/day or moon/month distinction in the source language but having it in the target language are potentially good places to start.
 +
    If you're translating to English and are having trouble coming up with examples for this assignment, consider words in English that are used in lexically specific ways, like in/on/at (e.g., one rides in a car but one rides on a bus) or watch/look at or say/tell.
 +
    See more examples under the second bullet point above where the need for lexical selection is discussed.
 +
 
 +
For each ambiguous translation you work on, determine some generalisation for how to decide which translation is right, documenting these generalisations on the wiki.
 +
 
 +
    It may be that there is no obvious generalisation that can be made for a given lexical selection problem; in this case, choose a default form to select and find some other one-to-many translation that can be solved with lexical selection. You must have at least one [mostly] solvable problem.
 +
 
 +
For each translation of the word, add an example sentence (or phrase if necessary—but check with me) where the meaning is unambiguous (minimum: two sentences).
  
 
[[Category:Sp23_LexicalSelection]]
 
[[Category:Sp23_LexicalSelection]]
 
[[Category:Evenki]]
 
[[Category:Evenki]]
 
[[Category:English]]
 
[[Category:English]]

Revision as of 23:12, 9 May 2023

evn → eng

Find and document at least two cases of a one-to-many mapping for translation.

   First check any dictionary resources you have for words with multiple translations. Things like lacking a hand/arm or sun/day or moon/month distinction in the source language but having it in the target language are potentially good places to start.
   If you're translating to English and are having trouble coming up with examples for this assignment, consider words in English that are used in lexically specific ways, like in/on/at (e.g., one rides in a car but one rides on a bus) or watch/look at or say/tell.
   See more examples under the second bullet point above where the need for lexical selection is discussed.

For each ambiguous translation you work on, determine some generalisation for how to decide which translation is right, documenting these generalisations on the wiki.

   It may be that there is no obvious generalisation that can be made for a given lexical selection problem; in this case, choose a default form to select and find some other one-to-many translation that can be solved with lexical selection. You must have at least one [mostly] solvable problem.

For each translation of the word, add an example sentence (or phrase if necessary—but check with me) where the meaning is unambiguous (minimum: two sentences).