Sciweavers

49 search results - page 3 / 10
» Tagging and Chunking with Bigrams
Sort
View
ACL
2012
11 years 8 months ago
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench
Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity. The workbench...
Rafal Rak, BalaKrishna Kolluru, Sophia Ananiadou
LREC
2008
117views Education» more  LREC 2008»
13 years 7 months ago
Tagging a Hebrew Corpus: the Case of Participles
We report on an effort to build a corpus of Modern Hebrew tagged with parts of speech and morphology. We designed a tagset specific to Hebrew while focusing on four aspects: the t...
Meni Adler, Yael Dahan Netzer, Yoav Goldberg, Davi...
LREC
2008
153views Education» more  LREC 2008»
13 years 7 months ago
Automatic Rich Annotation of Large Corpus of Conversational transcribed speech: the Chunking Task of the EPAC Project
This paper describes the use of the CasSys platform in order to achieve the chunking of conversational speech transcripts by means of cascades of Unitex transducers. Our system is...
Jean-Yves Antoine, Abdenour Mokrane, Nathalie Frib...
ICDAR
2003
IEEE
13 years 11 months ago
Parsing N-Best Lists of Handwritten Sentences
This paper investigates the application of a probabilistic parser for natural language on the list of the Nbest sentences produced by an off-line recognition system for cursive h...
Matthias Zimmermann, Jean-Cédric Chappelier...
LREC
2008
85views Education» more  LREC 2008»
13 years 7 months ago
POS Tagging for German: how important is the Right Context?
Part-of-Speech tagging is generally performed by Markov models, based on bigram or trigram models. While Markov models have a strong concentration on the left context of a word, m...
Steliana Ivanova, Sandra Kuebler