[PDF] Neural Network-based Word Alignment through Score Aggregation
Word alignment is the task of finding the cor- respondence between source and target words in a pair of sentences that are translations of each other Generative
[PDF] End-to-End Neural Word Alignment Outperforms GIZA++
Although unnecessary for training neu- ral MT models, word alignment still plays an important role in interactive applications of neural machine translation, such as
[PDF] Natural Language Processing: MT & Word Alignment Models
reserves: 5 mins] 5 Parallel-‐text word alignments: the IBM models [30 mins] new theory/models? 2014–2015: People excited about new neural MT models
[PDF] Alignment-Based Neural Machine Translation - i6 RWTH Aachen
a neural alignment model and combine it with a lexical neural model in a log- linear framework The models are used in a standalone word-based decoder that
[PDF] On The Alignment Problem In Multi-Head Attention-Based Neural
In conventional phrase-based statistical machine translation (Koehn et al , 2003), word alignment is modeled explicitly, making it clear which word or phrase is
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