We attempt to tease apart the effects that this simple but effective modification has on alignment precision and recall tradeoffs, and how rare and common words are affected across several language pairs.

Consequently, in addition to AER, we focus on precision and recall .

Figure 3 shows the change in precision and recall with the amount of provided training data for the Hansards corpus.

We see that agreement constraints improve both precision and recall when we

Experimental results show our method can achieve high precision and recall in measure word generation.

Experimental results show that our method not only achieves high precision and recall for generating measure words, but also improves the quality of English-to-Chinese SMT systems.

Table 3 and Table 4 show the precision and recall of our measure word generation method.

In addition to precision and recall , we also evaluate the Bleu score (Papineni et al., 2002) changes before and after applying our measure word generation method to the SMT output.

Table 6 and Table 7 show the precision and recall when using different features.

In this work, the problem of extracting phrase translation is formulated as an information retrieval process implemented with a log—linear model aiming for a balanced precision and recall .

In this paper, the problem of extracting phrase translation is formulated as an information retrieval process implemented with a log-linear model aiming for a balanced precision and recall .

The generic phrase training algorithm follows an information retrieval perspective as in (Venugopal et al., 2003) but aims to improve both precision and recall with the trainable log-linear model.

It implies a balancing process between precision and recall .

As in information retrieval, precision and recall issues need to be addressed with a right balance for building a phrase translation table.