these <term> evaluation techniques </term> will provide information about both the <term> human language
</term> using the <term> reference </term> . We provide experimental results that clearly show
</term> on the basis of <term> feedback </term> provided by <term> human judges </term> . We reconceptualize
accuracy </term> , but much faster . We also provide evidence that our findings are scalable
even larger improvements are possible . We provide a <term> logical definition </term> of <term>
character and word error rate </term> , and provide evaluation results involving <term> automatic
algorithms </term> . The results show that it can provide a significant improvement in <term> alignment
Learning Model ( SLM ) </term> . <term> FSM </term> provides two strategies for <term> language understanding
<term> language processing modules </term> to provide an <term> open-domain question answering
many <term> highly inflected languages </term> provided that one can create a small <term> manually
<term> machine translation systems </term> provides yet more <term> redundancy </term> , yielding
with conventional <term> SMT models </term> provides a promising approach that incorporates
problems of <term> SMT </term> . Our work aims at providing useful insights into the the <term> computational
<term> digital learning </term> . This system provides a promising approach to <term> Web-based
flexibilities </term> that such a system should provide . We go , on to describe <term> FlexP </term>
that we have designed and implemented to provide these flexibilities for <term> restricted
workability of the general mechanism , and provide a framework for assessing developments
distinction among these components is essential to provide an adequate explanation of such <term> discourse
</term> are explored . This <term> theory </term> provides a framework for describing the processing
ideas of Pereira and Shieber [ 11 ] , by providing an interpretation for values which are
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