Next week's talk: Duygu Ataman - 8/10 11am

[Wilker Aziz]

Dear all, 

next week we have a seminar by Duygu Ataman from Fondazione Bruno Kessler. Duygu is a final-year PhD candidate at FBK with Marcello Federico working on neural machine translation. She is also a visiting student at the ILCC (University of Edinburgh) working with Alexandra Birch and she will be presenting to us her recent work presented at ACL.

When: 11am, 8 October

Where: F1.15

What: see title an abstract below.

I hope to see many of you there! If you'd like to meet with Duygu or join us for lunch, please let me know. 

Best, 

Wilker.

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Compositional Source Word Representations for Neural Machine Translation

 

Abstract: The requirement for neural machine translation (NMT) models to use fixed-size input and output vocabularies plays an important role in their accuracy and generalization capability. The conventional approach to cope with this limitation is performing translation based on a vocabulary of sub-word units that are predicted using statistical word segmentation methods. However, these methods have recently shown to be prone to morphological errors, which lead to inaccurate translations. In this paper, we extend the source-language embedding layer of the NMT model with a bi-directional recurrent neural network that generates compositional representations of the source words from embeddings of character n-grams. Our model consistently outperforms conventional NMT with sub-word units on four translation directions with varying degrees of morphological complexity and data sparseness on the source side.

[Wilker Aziz]

Hi, 

just a gentle reminder about Monday's talk (see below).

Best, 

Wilker

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Wilker Aziz

http://wilkeraziz.github.io

[Wilker Aziz]

Dear all,

last reminder of today’s talk at 11am, room F1.15. Hope to see many of you there.

Cheers,

W