Treating 'free word order' in machine translation

作者: Ralf Steinberger

DOI: 10.3115/991886.991895

关键词:

摘要: In free word order languages, every sentence is embedded in its specific context. The of constituents determined by the categories theme, rheme and contraslive focus. This paper shows how to recognise translate these automatically on a sentential basis, so that embedding can be achieved without having refer Traditionally neglected modifier classes are fully covered proposed method.

参考文章(8)
Gregor Erbach, Using preference values in typed feature structures to exploit non-absolute constraints for disambiguation Feature formalisms and linguistic ambiguity. pp. 173- 185 ,(1993)
Eva Hajičová, Petr Sgall, Hana Skoumalová, Identifying topic and focus by an automatic procedure conference of the european chapter of the association for computational linguistics. pp. 178- 182 ,(1993) , 10.3115/976744.976766
Sumali Pin-Ngern Conlon, Martha Evens, Can computers handle adverbs international conference on computational linguistics. pp. 1192- 1196 ,(1992) , 10.3115/992424.992463
Judith Engelkamp, Gregor Erbach, Hans Uszkoreit, Handling linear precedence constraints by unification Proceedings of the 30th annual meeting on Association for Computational Linguistics -. pp. 201- 208 ,(1992) , 10.3115/981967.981993
Ralf Günter Wilhelm Steinberger, A Study of Word Order Variation in German, with Special Reference to Modifier Placement University of Manchester. ,(1994)