In this paper we investigate whether the task of disambiguating pseudowords (artificial ambiguous words) is comparable to the disambiguation of real ambiguous words. Since the two...
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning t...
Wepresent a new approachtodisambiguatingsyntactically ambiguous words in context, based on Variable Memory Markov (VMM) models. In contrast to xed-length Markovmodels,whichpredict...
This paper describes a study of the patterns of translational equivalence exhibited by a variety of bitexts. The study found that the complexity of these patterns in every bitext ...
Benjamin Wellington, Sonjia Waxmonsky, I. Dan Mela...
This paper proposes a hierarchical text categorization (TC) approach to encoding free-text clinical notes with ICD-9-CM codes. Preliminary experimental result on the 2007 Computat...