Robert Östling

Efficient Word Alignment with Markov Chain Monte Carlo

2016 · ˜The œPrague Bulletin of Mathematical Linguistics

Abstract We present EFMARAL, a new system for efficient and accurate word alignment using a Bayesian model with Markov Chain Monte Carlo (MCMC) inference. Through careful selection of data structures and model architecture we are …

Continuous multilinguality with language vectors

2017

Most existing models for multilingual natural language processing (NLP) treat language as a discrete category, and make predictions for either one language or the other. In contrast, we propose using continuous vector representations of language. …