A Gold Standard Word Alignment for English-Swedish (GES) is a resource containing 1164 manually word aligned sentences pairs from English and Swedish versions of Europarl v. 2.
This is an open dataset of sentences from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains a corpus for language modeling and human annotations for named entity recognition (NER).
This is an open dataset of sentences from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains a corpus for language modeling and human annotations for named entity recognition (NER).
These are supplementary materials for an open dataset of scanned images and OCR texts from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains human annotations for layout analysis, OCR evaluation, and language identification and is available at http://hdl.handle.net/11234/1-4615. These supplementary materials contain OCR texts from different OCR engines for book pages for which we have both high-resolution scanned images and annotations for OCR evaluation.
A morphological layer for the German part of the SMULTRON corpus. Layer was annotated according to the STTS tagset and the annotation guidelines of the Tiger corpus.
Coordinator: Thomas Müller
Annotators: Francesca Caratti, Arne Recknagel
This distribution contains a morphological layer for the SMULTRON corpus [0].
The annotation process is described in :
@InProceedings{mueller2015,
author = {M\"uller, Thomas and Sch\"utze, Hinrich},
title = {Robust Morphological Tagging with Word Representations},
booktitle = {Proceedings of NAACL},
year = {2015},
}
[0] http://www.cl.uzh.ch/research/parallelcorpora/paralleltreebanks/smultron_en.html
Additional three Czech reference translations of the whole WMT 2011 data set (http://www.statmt.org/wmt11/test.tgz), translated from the German originals. Original segmentation of the WMT 2011 data is preserved. and This project has been sponsored by the grants GAČR P406/11/1499 and EuroMatrixPlus (FP7-ICT-2007-3-231720 of the EU and 7E09003+7E11051 of the Ministry of Education, Youth and Sports of the Czech Republic)
This xml file describes the Arabic phonetic constraints are to be applied on Arabic root. The first rule category lists the letters that may not occur in the same root, regardless of their order. The second category lists the letters that may not be used together in a root word with a specific order. The third and fourth categories show that each contiguous letters must not be redundant
ISLRN: 991-445-325-823-5
Lexical network AdjDeriNet consists of pairs of base adjectives and their derivatives. It contains nearly 18 thousand base adjectives that are base words for more than 26 thousand lexemes of several parts of speech.
Corpus AKCES 2 consists of trancripts of recordings of classes at Czech elementary and secondary schools (AKCES/CLAC - Czech Language Acquisition Corpora). It is the same data as the corpus "Schola 2010" (see the link for search), but all the proper names have been removed in order to protect the privacy of participants. and MŠMT (MSM0021620825), UK (PRVOUK P 10)