On Friday February 5 2010 12:29:30 Owain Clarke wrote:
> What a helpful forum - much thanks to all who've commented. Seems to be
> a bit of a consensus here about dictionaries. Let me just restate my
> reluctance, using examples from Spanish.
>
> esperar = to hope
> esperar = to wait
You could have a dict that maps: word -> list of translations
d = {"esperar":["to hope", "to wait"]}
> tambien = too [i.e. also]
> demasiado = too [i.e. excessive]
>
> So there are repeats in both languages. I would like to end up with a
> file which I can use to generate flash cards, either to or from English,
> and I suppose I want the flexibility to have 1 word with 1 definition.
You should possibly have an object for each term:
class LangEntity(object):
def __init__(self, word_en, word_es,
definition_en=None, definition_es=None, image=None):
self.word_en = word_en
self.word_es = word_es
self.definition_en = definition_en
self.definition_es = definition_es
self.image = image
#TODO: def __repr__(self) so you can see what you are doing.
all_entities = [LangEntity("too", "tambien"),
LangEntity("to hope", "esperar")]
Then you can create dictionaries that map from the words to the LangEntity
objects:
def make_en_dict(all_ents):
res_dict = {}
for ent in all_ents:
key = ent.word_en
ent_list = res_dict.get(key, [])
ent_list.append(ent)
res_dict[key] = ent_list
return res_dict
en_dict = make_en_dict(all_entities)
WARNING: I didn't try the code, I just typed it into the mail client! So there
might be bugs!
For useful ways how to model terms of a dictionary, maybe look at these
projects, and talk to their developers.
http://edu.kde.org/parley/
http://www.voxhumanitatis.org/content/ambaradan-owm2-storage-engine
http://www.omegawiki.org/Meta:Main_Page
Eike.
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