Refine
Year of publication
- 2006 (29) (remove)
Document Type
- Article (12)
- Preprint (9)
- Part of a Book (3)
- Conference Proceeding (3)
- Book (1)
- Working Paper (1)
Language
- English (29) (remove)
Has Fulltext
- yes (29)
Keywords
- Computerlinguistik (3)
- Deutsch (2)
- Suchmaschine (2)
- Ableitung <Linguistik> (1)
- Alf laila wa-laila (1)
- Aufsatzsammlung (1)
- Benutzeroberfläche (1)
- Bibliographie (1)
- Englisch (1)
- Ethiopia (1)
Institute
- Extern (29) (remove)
In this article we examine and "exapt" Wurzel's concept of superstable markers in an innovative manner. We develop an extended view of superstability through a critical discussion of Wurzel's original definition and the status of marker-superstability versus allomorphy in Natural Morphology: As we understand it, superstability is - above and beyond a step towards uniformity - mainly a symptom for the weakening of the category affected (cf. 1.,2. and 4.). This view is exemplified in four short case studies on superstability in different grammatical categories of four Germanic languages: genitive case in Mainland Scandinavian and English (3.1), plural formation in Dutch (3.2), second person singular ending -st in German (3.3), and ablaut generalisation in Luxembourgish (3.4).
This paper presents an approach to the question whether it is possible to construct a parser based on ideas from case-based reasoning. Such a parser would employ a partial analysis of the input sentence to select a (nearly) complete syntax tree and then adapt this tree to the input sentence. The experiments performed on German data from the Tüba-D/Z treebank and the KaRoPars partial parser show that a wide range of levels of generality can be reached, depending on which types of information are used to determine the similarity between input sentence and training sentences. The results are such that it is possible to construct a case-based parser. The optimal setting out of those presented here need to be determined empirically.
In this paper I present five alternations of the verb system of Modern Greek, which are recurrently mapped on the syntactic frame NPi__NP. The actual claim is that only the participation in alternations and/or the allocation to an alternation variant can reliably determine the relation between a verb derivative and its base. In the second part, the conceptual structures and semantic/situational fields of a large number of “-ízo” derivatives appearing inside alternation classes are presented. The restricted character of the conceptual and situational preferences inside alternations classes suggests the dominant character of the alternations component.
This paper profiles significant differences in syntactic distribution and differences in word class frequencies for two treebanks of spoken and written German: the TüBa-D/S, a treebank of transliterated spontaneous dialogues, and the TüBa-D/Z treebank of newspaper articles published in the German daily newspaper die tageszeitung´(taz). The approach can be used more generally as a means of distinguishing and classifying language corpora of different genres.
In recent years, research in parsing has extended in several new directions. One of these directions is concerned with parsing languages other than English. Treebanks have become available for many European languages, but also for Arabic, Chinese, or Japanese. However, it was shown that parsing results on these treebanks depend on the types of treebank annotations used. Another direction in parsing research is the development of dependency parsers. Dependency parsing profits from the non-hierarchical nature of dependency relations, thus lexical information can be included in the parsing process in a much more natural way. Especially machine learning based approaches are very successful (cf. e.g.). The results achieved by these dependency parsers are very competitive although comparisons are difficult because of the differences in annotation. For English, the Penn Treebank has been converted to dependencies. For this version, Nivre et al. report an accuracy rate of 86.3%, as compared to an F-score of 92.1 for Charniaks parser. The Penn Chinese Treebank is also available in a constituent and a dependency representations. The best results reported for parsing experiments with this treebank give an F-score of 81.8 for the constituent version and 79.8% accuracy for the dependency version. The general trend in comparisons between constituent and dependency parsers is that the dependency parser performs slightly worse than the constituent parser. The only exception occurs for German, where F-scores for constituent plus grammatical function parses range between 51.4 and 75.3, depending on the treebank, NEGRA or TüBa-D/Z. The dependency parser based on a converted version of Tüba-D/Z, in contrast, reached an accuracy of 83.4%, i.e. 12 percent points better than the best constituent analysis including grammatical functions.