Elif Eyigoz has an exceptional multi-disciplinary background with degrees in Philosophy (BA), Cognitive Science (MA), Linguistics (MA), and Computer Science (MS and PhD). After she completed her education, she joined IBM in 2014 as a natural language processing (NLP) algorithms developer at Watson Labs, and later joined IBM research in 2016 as a researcher.
Her current research interests include:
- Applications of NLP methods in accessing markers for mental disorders and neuro-degenerative conditions.
- Applications of NLP methods in augmented reality systems.
- Customization of automatic speech recognition systems for practical applications.
In the past, she worked on machine translation for morphologically rich languages, and on syntax of languages with free word order within the Tree Adjoining Grammars formalism. She would be interested in making collaborations on these topics.