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)
When you listen to the evening news, or read a newspaper, book or web site, there is a good chance that you will hear or see a term — perhaps a name, perhaps a technical term — that you have never seen before. Such words are often novel or rare and are often names (of people, places, organizations. . . ). They are hard for humans to process, but they are(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)
Using the example of Murrinh-Patha, Seiss (2011) illustrates how Australian Aboriginal languages can shed light on the morphology-syntax interface: one aspect of their polysynthetic nature is that information often encoded in phrases and clauses in other languages is instead found in a single morphological word. In this paper, we look at another instance,(More)
We describe the WordsEye Linguistics tool (WELT), a novel tool for the documentation and preservation of endangered languages. WELT is based on WordsEye (Coyne and Sproat, 2001), a text-toscene tool that automatically generates 3D scenes from written input. WELT has two modes of operation. In the first mode, English input automatically generates a picture(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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