Corpus Data

Ordinarily, one thinks of the problem of natural language un- derstanding as one of making a single, left-to-right pass through an input, producing a progressively refined and detailed interpre- tation. …...

We address the probhml of automaticMly constructing a thesaurus by clustering words based on corpus data. We view this problem as that of estimating a joint distribution over the (:artesian …...

The present study attempts to measure and compare the morphological productivity of five Mandarin Chinese suffixes: the verbal suffix -hua, the plural suffix -men, and the nominal suffixes -r, -zi, …...

In this paper we investigate the structure of spatial expressions in Saisiyat based in part on corpus data. Our corpus material includes both narratives and conversations that together run for …...

This paper aims to further probe into the problems of ambiguities in automatic identification of determinative-measure compounds (DMs) in Chinese. It is known that Chinese DMs are identifiable by regular …...

We conduct large-scale experiments to in- vestigate optimal features for classification of verbs in biomedical texts. We intro- duce a range of feature sets and associated extraction techniques, and evaluate …...

Spelling correction for keyword-search queries is challenging in restricted domains such as personal email (or desktop) search, due to the scarcity of query logs, and due to the specialized nature …...

This research describes the development of a supervised classifier of English Caused Mo- tion Constructions (CMCs) (e.g. The goalie kicked the ball into the field). Consistent iden- tification of CMCs …...

AbstractAcross languages, multiple consecutive adjectives modifying a noun (e.g. “the big red dog”) follow certain unmarked ordering rules. While explanatory accounts have been put forward, much of the work done …...

This pilot study attempts a novel compari­ son on how metaphors of BITTERNESS are used in English and Mandarin Chinese, in or­ der to identify subtle cross­linguistic differ­ ences. Using …...

AbstractOften performing even simple data science tasks with corpus data requires significant expertise in data science and programming languages like R and Python. With the aim of making quantitative research …...