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method ID: fastalign

Related Papers

Improving fast_align by Reordering

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

fast align is a simple, fast, and effi- cient approach for word alignment based on the IBM model 2. fast align per- forms well for language pairs with rel- atively …...

34659

An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

For many low-resource languages, spoken lan- guage resources are more likely to be an- notated with translations than with transcrip- tions. Translated speech data is potentially valuable for documenting endangered …...

33593

Neural Network-based Word Alignment through Score Aggregation

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

We present a simple neural network for word alignment that builds source and tar- get word window representations to com- pute alignment scores for sentence pairs. To enable unsupervised training, …...

28023

Saliency-driven Word Alignment Interpretation for Neural Machine Translation

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractDespite their original goal to jointly learn to align and translate, Neural Machine Translation (NMT) models, especially Transformer, are often perceived as not learning interpretable word alignments. In this paper, …...

27911

End-to-End Slot Alignment and Recognition for Cross-Lingual NLU

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractNatural language understanding (NLU) in the context of goal-oriented dialog systems typically includes intent classification and slot labeling tasks. Existing methods to expand an NLU system to new languages use …...

30260