We present a novel method for extracting parallel sub-sentential fragments from comparable, non-parallel bilingual corpora. By analyzing potentially similar sentence pairs using a...
In this paper we address the problem of discovering word semantic similarities via statistical processing of text corpora. We propose a knowledge-poor method that exploits the sen...
Aristomenis Thanopoulos, Nikos Fakotakis, George K...
In this paper, we explore a CLIR-based approach to construct large-scale Chinese-English comparable corpora, which is valuable for translation knowledge mining. The initial source...
Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...
It is crucial for cross-language information retrieval (CLIR) systems to deal with the translation of unknown queries1 due to that real queries might be short. The purpose of this...