@misc{OPUS4-44332,
  title     = {The Diachrony of Infinitival Patterns},
  series = {Journal of Historical Linguistics},
  volume    = {2015},
  journal   = {Journal of Historical Linguistics},
  number    = {5.1},
  editor    = {Demske, Ulrike and Jędrzejowski, Łukasz},
  publisher = {Benjamins},
  address   = {Amsterdam},
  issn      = {2210-2116 print},
  doi       = {10.1075/jhl.5.1},
  pages     = {174},
  year      = {2015},
  abstract  = {According to Haider (2010), we have to distinguish three types of infinitival complements in Present-Day German: (i) CP complements, (ii) VP complements and (iii) verbal clusters. While CP complements give rise to biclausal structures, VP complements and verbal clusters indicate a monoclausal structure. Non-finite verbs in verbal clusters build a syntactic unit with the governing verb. It is only the last infinitival pattern that we address as a so-called coherent infinitival pattern, a notion introduced in the influential work of Bech (1955/57). Verbal clusters are bound to languages with an OV grammar, hence the well-known differences regarding infinitival syntax in German and English (Haider 2003, Bobaljik 2004). On the widespread assumption that German has been an OV language throughout its history (Axel 2007), we expect all three types of infinitival complements to be present from the earliest attestions of German.},
  language  = {en}
}
@inproceedings{DemskeLogacevGoldschmidt2014,
  author    = {Demske, Ulrike and Logacev, Pavel and Goldschmidt, Katrin},
  title     = {POS-Tagging Historical Corpora: The Case of Early New High German},
  series = {Proceedings of the thirteenth workshop on treebanks and linguistic theories (TLT 13)},
  volume    = {2014},
  booktitle = {Proceedings of the thirteenth workshop on treebanks and linguistic theories (TLT 13)},
  publisher = {TALAR - T{\"u}bingen Archive of Language Resources},
  address   = {T{\"u}bingen},
  pages     = {103 -- 112},
  year      = {2014},
  abstract  = {A key problem in automatic annotation of historical corpora is inconsistent spelling. Because the spelling of some word forms can differ between texts, a language model trained on already annotated treebanks may fail to recognize known word forms due to differences in spelling. In the present work, we explore the feasibility of an unsupervised method for spelling-adjustment for the purpose of improved part of speech (POS) tagging. To this end, we present a method for spelling normalization based on weighted edit distances, which exploits within-text spelling variation. We then evaluate the improvement in taging accuracy resulting from between-texts spelling normalization in two tagging experiments on several Early New High German (ENHG) texts.},
  language  = {en}
}