Title: Making and Breaking Unsupervised Bilingual Dictionary Induction
\nAbstract:<\/p>\n
In a recent publication, the Facebook Research Group shows that fully
\nunsupervised bilingual dictionary induction (BDI) is possible, through generative adversarial mapping between monolingual embedding spaces, and
\ncan in fact be on par with supervised approaches if a graph matching
\nalgorithm, Procrustes Analysis, is applied to refine the mappings (Conneau
\net al. 2018). Our initial experiments with this system revealed that the
\nperformance of the generative adversarial network (GAN) component could be
\nhighly unstable, not just in a random fashion, as it often happens with
\nGANs, but in a pattern relating to the identity of the languages involved.
\nWe thus embark on an exploratory study of GAN-solved BDI as a point set
\nregistration problem, in search of the source of instability. In parallel,
\nwe experiment with a variant of Procrustes Analysis for the task of
\nsemi-supervised BDI, namely Generalized Procrustes Analysis, finding the
\nlatter to be more robust and superior in performance.<\/p>\n
Alexis Conneau, Guillaume Lample, Marc Ranzato, Ludovic Denoyer, and Herv\u00e9
\nJ\u00e9gou. 2018. Word translation without parallel data. In* ICLR*.<\/p>\n
Bio:
\nI am in the first year of a PhD fellowship in Natural Language Processing and Machine Learning under the supervision of Anders S\u00f8gaard and Isabelle Augenstein at the CoAStAL group, University of Copenhagen, Denmark.
\nMy academic interests constantly evolve but always remain grounded in Linguistic theory. The focus of my PhD currently is on morphological analysis of low resource languages, using multi-source data.
\nBefore this I completed a Master’s program in Cognitive Science Informatics at the University of Edinburgh, working under the supervision of Adam Lopez. My undergraduate degree, also from the University of Edinburgh, is in Theoretical and Applied Linguistics.<\/p>\n","protected":false},"excerpt":{"rendered":"
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