It has been established that incorporating word cluster features derived from large unlabeled corpora can significantly improve prediction of linguistic structure. While previous work has focused primarily on English, we extend these results to other languages along two dimensions. First, we show that these results hold true for a number of languages across families. Second, and more interestin...

language is a system of verbal elements that makes communication of meaningspossible in the manners the users intend by employing certain linguistic deviceswhich are partly language-specific. once communicating cross-linguistically, thereis always a risk of negative transfer of techniques or processes from the firstlanguage (l1) to the foreign language (l2). the current study investigates the“e...

Täckström, O. 2013. Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision. Acta Universitatis Upsaliensis. Studia Linguistica Upsaliensia 14. xii+215 pp. Uppsala. ISBN 978-91-554-8631-0. Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the ling...

This  paper  focuses  on  some  pragmatic  expressions  that  are  characteristic  of  informal  spoken English, their possible equivalents in some other languages, and their use by EFL learners from different  backgrounds.  These  expressions,  called  general  extenders  (e.g.  and  stuff,  or something), are shown to be different from discourse markers and to exhibit variation in form, funct...

While statistical methods have been very effective in developing NLP tools, the use of linguistic tools and understanding of language structure can make these tools better. Cross-lingual parser construction has been used to develop parsers for languages with no annotated treebank. Delexicalized parsers that use only POS tags can be transferred to a new target language. But the success of a dele...