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We report on some recent improvements to an HMM- based, continuous speech recognition system which is being developed at AT&T Bell Laboratories. These advances, which include the incorporation of inter-word, …...

We explore the impact of morpholog- ical segmentation on keyword spotting (KWS). Despite potential benefits, state- of-the-art KWS systems do not use mor- phological information. In this paper, we augment …...

Neural machine translation (NMT) mod- els typically operate with a fixed vocabu- lary, but translation is an open-vocabulary problem. Previous work addresses the translation of out-of-vocabulary words by backing off …...

AbstractWords can be represented by composing the representations of subword units such as word segments, characters, and/or character n-grams. While such representations are effective and may capture the morphological regularities …...

For efficiency considerations, state-of-the- art neural machine translation (NMT) re- quires the vocabulary to be restricted to a limited-size set of several thousand sym- bols. This is highly problematic when …...

AbstractWe present two categories of model-agnostic adversarial strategies that reveal the weaknesses of several generative, task-oriented dialogue models: Should-Not-Change strategies that evaluate over-sensitivity to small and semantics-preserving edits, as well …...

AbstractThis paper focuses on subword-based Neural Machine Translation (NMT). We hypothesize that in the NMT model, the appropriate subword units for the following three modules (layers) can differ: (1) the …...