!!!Vocabulary games

We would like to make a set of vocabulary games. The idea is to divide the vocabulary according to part of speech, adjective, verb, noun, adverb. 


!!Outline

The vocabulary lists may be found as follows:

# Find the 1000 most common Norwegian nouns and verbs, and the 500 most common adjectives and adverbs. 
# Translate them by using the {{ismenob.fst}} tool (words/dicts/smenob/ismenob.fst).
## Problem: The ismenob.fst is not that good, it is just the inverse of the smenob.fst. A better tool will be achieved by converting the underlying xml document from smenob.xml to ismenob.xml, and then make a {{nobsme.fst}} from that.
## Eventually we would like to take a Sámi frequency list as starting point, and translate via smenob.fst.
# check whether important Sámi words are missing, and add them
# Divide the word pairs into three groups according to frequency.
# In order to be able to reverse the game, we actually need two lists, one sme-nob and one nob-sme, in order to limit variation to one-many, and not many-many.

The target program should have the following characteristics:

# The user chooses POS, level and direction (nob-sme or sme-nob)
# The machine draws an arbitrary set of 10 words
# The machine presents the source words, one by one
# For each word, the user provides a translation
# The machine reacts in the usual way (green = ok, red = wrong, or similarily)
# After a completed set of 10, the machine gives statistics and some encouraing words

In addition to the frequency-based games we should have games ordered after semantic class: Bodyparts, food, drinks, professions, etc.


!!Proper name drill

Now, we have an overview of parallel names in different municipalities

* A list showing the number of parallel names per municipality is found [here|municipalities.html].
* The names are found in the {{words/terms/}} folder

!!Discussion

* What do you think?
* We need a spec for the format of the lists. While waiting, smeTABnobCR should be ok.


Lene: Good idea, but we have to remember synonyms and sideforms. We have to make the wordlist so the machine will find the synonyms, not only one-to-one.

{{{
nob		sme
hus	- viessu, dállu, stohpu
}}}

It could also be pedagogically good to make groups of words, instead of only the 1000 most common words. Then we also could use them as a part of dialogues. If you are in a shop, then you could also have a part with vocabulary game with things which probably are in the shop (e.g. grocers).