Titlebook: Human Language Technology. Challenges for Computer Science and Linguistics; 8th Language and Tec Zygmunt Vetulani,Patrick Paroubek,Marek Ku

GILD

Anita Lorenc,Katarzyna Klessa,Daniel Król,?ukasz Mikter anderem eine Anzahl neuer, in der Literatur bisher nicht beschriebener Kakteen sammeln und von einigen, bisher nur unvollst?ndig bekannten Arten und Gattungen die systematische Zugeh?rigkeit kl?ren konnten. Ziel und Zweck der folgenden Ausführungen ist es, Diagnosen. der Neufunde auf Grund eigen

欲望

Creating Norwegian Valence Resources from a Deep Grammarrlinear glossed text) augmented by valence information. Our deep parser is the HPSG-based computational grammar Norsource (Hellan and Bruland .), our online IGT repository is TypeCraft (Beermann and Mihaylov .), while the sentences of the corpus are taken from the Leipzig Corpus Collection (Goldhahn

thalamus

How to Improve Optical Character Recognition of Historical Finnish Newspapers Using Open Source Tessity of the historical Finnish newspaper collection 1771–1910. Evaluation results reported in the paper are based mainly on a 500 000 word sample of the Finnish language part of the whole collection. The sample has three different parallel parts: a manually corrected ground truth version, original OC

籠子

chemical-peel

reject

hair-bulb

gimmick

整潔漂亮

中子

Experiments with Automatic and Semi-automatic Detection of Sparse Word Forms in Old Brajal forms in early New Indo-Aryan (NIA) language corpora comprising data from Old Rajasthani, Awadhi, Braj, Dakkhini and Pahari [.]. The goal of the detection mechanism is to successfully identify a plaintext word as a converb or non-converb. Such mechanism facilitates further converb description and