Morgan Ulinski

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Pronunciation information is available in large quantities on the Web, in the form of IPA and ad-hoc transcriptions. We describe techniques for extracting candidate pronunciations from Web pages and associating them with orthographic words, filtering out poorly extracted pronunciations, normalizing IPA pronunciations to better conform to a common(More)
Indexing and retrieval of speech content in various forms such as broadcast news, customer care data and on-line media has gained a lot of interest for a wide range of applications, from customer analytics to on-line media search. For most retrieval applications, the speech content is typically first converted to a lexical or phonetic representation using(More)
In this paper, we describe how field linguists can use the WordsEye Linguistics Tool (WELT) to study endangered languages. WELT is a tool under development for eliciting endangered language data and formally documenting a language , based on WordsEye (Coyne and Sproat, 2001), a text-to-scene generation tool that produces 3D scenes from text input. First, a(More)
We describe the WordsEye Linguistics tool (WELT), a novel tool for the documentation and preservation of endangered languages. WELT is based on Words-Eye (Coyne and Sproat, 2001), a text-to-scene tool that automatically generates 3D scenes from written input. WELT has two modes of operation. In the first mode, En-glish input automatically generates a(More)
We present experiments in incrementally learning a dependency parser. The parser will be used in the WordsEye Linguistics Tools (WELT) (Ulinski et al., 2014a; Ulinski et al., 2014b) which supports field linguists documenting a language's syntax and semantics. Our goal is to make syntactic annotation faster for field linguists. We have created a new parallel(More)
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