Issue #12 – Character-based Neural MT

04 Oct18 Issue #12 – Character-based Neural MT Author: Dr. Patrik Lambert, Machine Translation Scientist @ Iconic Most flavours of Machine Translation naturally use the word as the basis for learning models. Early work on Neural MT that followed this approach had to limit the vocabulary scope for practical reasons.. This created problems when dealing with out-of-vocabulary words. One approach that was explored to solve this problem was character-based Neural MT. With the emergence of subword approaches, which almost solves the […]

Read more