
% * Picture of interface
% * Description of usage
%    - How to link words, phrases
% * Other features
%    - auto dictionary
%    - auto link
%    - auto search
%    - easily localized

\section{Elicitation Interface}

{\sc Avenue}'s machine learning mechanism takes as input pairs of
word-aligned sentences in the source and target languages.  
%The Elicitation Interface collects the word and phrase alignment information necessary for automatic rule learning. 
In order to obtain this information ,an informant using
the Elitication Interface is presented with a sentence in English or Spanish (or
other resource rich languages) and is then asked to translate the sentence
to the language of interest.  The interface contains a context field, providing the possibility to include additional information about the sentence (such as the gender of
one of the participants) that may influence the translation.  After translating the sentence, for each word in the
elicited sentence the informant then indicates corresponding word(s)
in the elicitation language.  In some cases, the word may not have a
corresponding word in the matching sentence, or may corrspond to
multiple words. 

\begin{figure}[t]
  \begin{center}
    \includegraphics[scale=.5]{elicitationinterfacephrase.eps}
  \end{center}

% \epsfxsize=5in
% \centerline{\hbox{
%  \epsffile[0 0 500 235]{elicitationinterfacephrase.eps}
% }}
\caption{\label{elicitation} Elicitation Interface}
\end{figure}

If the informant wants to include some information or clarifications
about the translation or the alignment of the sentence pair, the
interface provides comment field in which to write these comments.
Once the informant has finished with one sentence pair, clicking on
the ``Next'' button will bring up the next sentence to translate and
align.  Users can also go back to change previous sentences or type in
the index number for a particular sentence to jump directly to it.

Alignments are added by using the mouse to click on a word in one
sentence and then the corresponding word in the other sentence.  A
link is automatically added, which is visually indicated with a line
between the two words and color-highlighting of the newly aligned
words.  Deletion of an existing alignment pair is equally
straight-forward: the informant clicks on the first word of the
existing pair and then clicks on the second word.  The link is then
deleted.  In the case where two or more (possibly non-contiguous)
words act as a unit, the informant can hold down the Control key while
clicking on the words with the mouse.  In this way, one-to-many and
many-to-many word alignments are possible.

%% Add an explanation of the figure.

Figure~\ref{elicitation} shows an .....  (include alignments) \ldots


The interface was written in Java for portability and ease of language localization.  
The language used by the menus and buttons of the
interface, as well as the help file, can be easily changed without
recompiling the entire program.  Currently, the interface has been
localized for English and Spanish. Using Java makes displaying languages as varied as Arabic and Chinese as easy as having an appropriate font installed.

\begin{figure}[t]
  \begin{center}
    \includegraphics[scale=.6]{etglossary.eps}
  \end{center}
 \epsfxsize=5in
% \centerline{\hbox{
%  \epsffile[0 0 235 500]{etglossary.eps}
% }}
\caption{\label{elicitation} Elicitation Interface Glossary}
\end{figure}

Beside the basic function of translating and word-aligning sentences,
the elicitation interface also has several helpful support tools.
From the main menu the user can display a bilingual glossary built
from existing word alignments.  Users can also easily search for words
in the eliciting or elicited sentences.  The search results include
the sentence the word was found in, along with any aligned words.
Clicking on a result goes directly to the sentence.  This makes it
easier for users to be consistent in their alignment work.

% Show picture of bilingual glossary






