Abstract.A simple, robust sliding-window part-of-speech tagger is presented and a method is given to estimate its parameters from an untagged corpus. Its performance is compared to a standard Baum-Welchtrained hidden-Markov-model part-of-speech tagger. Transformation into a finite-state machine -behaving exactly as the tagger itself-is demonstrated.
Abstract. The Internet constitutes a potential huge store of parallel text that may be collected to be exploited by many applications such as multilingual information retrieval, machine translation, etc. These applications usually require at least sentence-aligned bilingual text. This paper presents new aligners designed for improving the performance of classical sentence-level aligners while aligning structured text such as HTML. The new aligners are compared with other well-known geometric aligners.
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