Báo cáo khoa học: A Word-to-Word Model of Translational Equivalence
Báo cáo khoa học: A Word-to-Word Model of Translational Equivalence
Many multilingual NLP applications need to translate words between different languages, but cannot afford the computational expense of inducing or applying a full translation model. For these applications, we have designed a fast algorithm for estimating a partial translation model, which accounts for translational equivalence only at the word level . The model's precision/recall trade-off can be directly controlled via one threshold parameter. This feature makes the model more suitable for appl