This paper presents a novel way of improving POS tagging on heterogeneous data. First, two separate models are trained (generalized and domain-specific) from the same data set by...
We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...
A system making optimal use of available information in incremental language comprehension might be expected to use linguistic knowledge together with current input to revise beli...
Abstract. Nowadays, the most dominant and noteworthy web information sources are developed according to the collaborative-web paradigm, also known as Web 2.0. In particular, it rep...
In cross-language information retrieval it is often important to align words that are similar in meaning in two corpora written in different languages. Previous research shows tha...