Statistical Word Alignment

This paper discusses the use of statistical word alignment over multiple parallel texts for the identi- fication of string spans that cannot be constituents in one of the languages. This …...

The main problems of statistical word alignment lie in the facts that source words can only be aligned to one target word, and that the inappro- priate target word is …...

AbstractIn this paper, we report on the design of a part-of-speech-tagset for Wolof and on the creation of a semi-automatically annotated gold standard. In order to achieve high-quality annotation relatively …...

AbstractWe present a heuristic method for word alignment, which is the task of identifying corresponding words in parallel text. The heuristic method is based on parallel phrases extracted from manually …...

We report on an exploratory analysis of Emoji Dick, a project that lever- ages crowdsourcing to translate Melville’s Moby Dick into emoji. This distinctive use of emoji removes textual context, …...

AbstractThe naive approach to annotation projection is not effective to project discourse annotations from one language to another because implicit relations are often changed to explicit ones and vice-versa in …...