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Full Discussion: The OSI-model
Special Forums IP Networking The OSI-model Post 17837 by J.P on Wednesday 20th of March 2002 02:27:24 PM
Old 03-20-2002
The OSI-model

after reading a paper about the OSI-model I'm not exactly sure how to look at this model.

Does data (a file) travel from the application level "down" each layer at the client

Application
V
Presentation
V
Session
V
Transport
V
Network
V
Data link
V
|
|
| (Physical)
|
|
and "up" each layer (in reverse order: physical, data link, network etc..) at the server ?

After taking a look at a picture (http://www.cs.columbia.edu/~hgs/internet/it_stack.gif)
I noticed that there seems to be no data link activity between the
network (IPv4, IPv6) and physical layer (Ethernet)..

I couldn't be more confused. Any help at all is highly appreciated Smilie
 

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apertium-lextor(1)														apertium-lextor(1)

NAME
apertium-lextor - This application is part of ( apertium ) This tool is part of the apertium machine translation architecture: http://apertium.org. SYNOPSIS
apertium-lextor --trainwrd stopwords words n left right corpus model [ --weightexp w ] [ --debug ] apertium-lextor --trainlch stopwords lexchoices n left right corpus wordmodel dic bildic model [ --weightexp w ] [ --debug ] apertium-lextor --lextor model dic left right [ --debug ] [ --weightexp w ] DESCRIPTION
apertium-lextor is the application responsible for training and usage of the lexical selector module. OPTIONS
--trainwrd | -t Train word co-occurrences model. It needs the following required parameters: stopwords file containing a list of stop words. Stop words are ignored. words file containing a list of words. For each word a co-occurrence model is built. n number of words per co-occurrence model (for each model, the n most frequent words). left left-side context to take into account (number of words). right right-side context to take into account (number of words). corpus file containing the training corpus. model output file on which the co-occurrence models are saved. --trainlch | -r Train lexical choices co-occurrence models using a target language co-occurrence model and a bilingual dictionary. It needs the following required parameters: stopwords file containing a list of stop words. Stop words are ignored. lexchoices file containing a list of lexical choices. For each lexical choice a co-occurrence model is built. n number of words per co-occurrence model (for each model, the n most frequent words). left left-side context to take into account (number of words). right right-side context to take into account (number of words). corpus file containing the training corpus. wordmodel target-language word co-occurrence model (previously trained by means of the --trainwrd option). dic the lexical-selection dictionary (binary format). bildic the bilingual dictionary (binary format). model output file on which the co-occurrence models are saved. --lextor | -l Perform the lexical selection on the input stream. It needs the following required parameters: model file containing the model to be used for the lexical selection. dic lexical-selection dictionary (binary format). left left-side context to take into account (number of words). right right-side context to take into account (number of words). --weightexp w Specify a weight value to change the influence of surrounding words while training or performing the lexical selection. The parameter w must be a positive value. --debug | -d Show debug information while working. --help | -h Shows this help. --version | -v Shows license information. SEE ALSO
apertium-gen-lextorbil(1), apertium-preprocess-corpus-lextor(1), apertium-gen-stopwords-lextor(1), apertium-gen-wlist-lextor(1), aper- tium-gen-wlist-lextor-translation(1), apertium-lextor-eval(1), apertium-lextor-mono(1). BUGS
Lots of...lurking in the dark and waiting for you! AUTHOR
(c) 2005,2006 Universitat d'Alacant / Universidad de Alicante. All rights reserved. 2006-12-12 apertium-lextor(1)
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