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Manually annotated corpora are indispensable resources, yet for many annotation tasks, such as the creation of treebanks, there exist multiple corpora with different and incompatible annotation guidel...
Recent discussions of annotator agreement have mostly centered around its calculation and interpretation, and the correct choice of indices. Although these discussions are important, they only conside...
The task of annotating texts with senses from a computational lexicon is widely recognized to be complex and often subjective. Although strategies like interannotator agreement and voting can be app...
We show how web mark-up can be used to improve unsupervised dependency parsing. Starting from raw bracketings of four common HTML tags (anchors, bold, italics and underlines), we refine approximate pa...
A Computer-Assisted Pronunciation Training (CAPT) system can provide greater benefit to language learners if it provides not only scoring but also corrective feedback. However, the process of deriving...
In this paper, we develop a sentence boundary detection system which incorporates a prosodic model, word and preterminal-level language models, and a global sentence-length model. An important aspect ...
Learning Document-Level Semacntic Properties from Free-text Annotations
Context-dependent Pronunciation Error Pattern Discovery with Limited Annotations.
In recent years, improvements in technology have enhanced the possibilities of teaching and learning various subjects. This is specially the case in foreign language instruction. The use of technolog...
We present a Chinese word segmentation model learned from punctuation marks which are perfect word delimiters. The learning is aided by a manually segmented corpus. Our method is considerably more e...

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