Inventing a more human conversation with technology

Nuance’s R&D team of talented scientists, linguists and engineers pioneers innovation in human-machine intelligence and communication, resulting in groundbreaking strides in voice, language understanding and AI that redefine how people and technology co-exist.

Research areas

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Speech recognition

Turning speech into text is at the heart of an amazing variety of products and services that enrich peoples’ lives

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Natural language & AI

Natural Language Processing and Artificial Intelligence technologies enable users to communicate with the digital technology they use everyday, whether for work or recreation

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Text to speech

Text-to-Speech (TTS) is a corner-stone Nuance technology, with a long research history combining ideas integrated from several teams and new hires

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Voice biometrics enables authentication through processing natural speech patterns

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Speech enhancement

Speech enhancement is focused on evolving the technologies used in voice-driven interfaces for an enhanced user experience and greater application flexibility for manufacturers

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Recent articles

Fixing Comparative Preferences for SPARQL

Sometimes one does not want all the solutions to a query but instead only those that are most desirable according to user-specified preferences. If a

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Contextualization via Qualifiers

A common method for contextualizing facts in knowledge graph formalisms is by adding property-value pairs, qualifiers, to the facts in the knowledge graph. Qualifiers work

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WordNet for “Easy” Textual Inferences

This paper presents a WordNet-based automatic approach for calculating “easy” inferences. We build a rule-based system which extracts the pairs of the SICK corpus whose

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Textual Inference: getting logic from humans

This paper describes a manual investigation of the SICK corpus, which is the proposed testing set for a new system for natural language inference. The

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CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data

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Universal Dependencies for Portuguese

This paper describes the process of converting the Portuguese Bosque corpus to the Universal Dependencies scheme version 2. The conversion was done by applying to

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Breaking news

Charlie Ortiz featured on CNET’s list of Most Influential Latinos in Tech

Charlie Ortiz, head of Nuance’s Sunnyvale based AI lab, is #15 on CNET’s list of most influentual latinos in the tech industry. He was also featured there last year.

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Upcoming event

EMNLP 2018
Brussels, Belgium
- November 4

Nuance is a sponsor of the 2018 Conference on Empirical Methods in Natural Language Processing

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Featured researcher

Prateek Jain

I work as Principal Research Engineer at Nuance Research in...

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