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This paper describes a method of detecting speechrepairs that uses a part-of-speech tagger. The tagger is given knowledge about category transitions for speechrepairs, and so is able to mark a …...

This I)at)cr d(~scrihcs a, SI);ulish l'arl.-ol: Speech (I'()S) l~a.gger which al,i)lies aad extends Ih'ill's a, lguril;hn~ for 'u,.super- vised learuing of ruh',- based l, aggcrs (llrill, 1995). First, we discuss …...

In this paper we deal with several kinds of anaphora in unrestricted texts. These kinds of anaphora are pronominal references, surface- count anaphora and one-anaphora. In order to solve these …...

In this paper we describe the construction of a part-of-speech tagger both for medical doc- ument retrieval purposes and XP extraction. Therefore we have designed a double system: for retrieval …...

We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following tag con- texts via a dependency network representa- tion, (ii) broad …...

Part of speech taggers based on Hidden Markov Models rely on a series of hypothe- ses which make certain errors inevitable. The idea developed in this paper consists in allowing …...

We present a part-of-speech tagger which introduces two new concepts: virtual evi- dence in the form of an “observed child” node, and negative training data to learn the conditional probabilities …...

AbstractBroad-coverage language resources which provide prior linguistic knowledge must improve the accuracy and the performance of NLP applications. We are constructing a broad-coverage lexical resource to improve the accuracy of …...

AbstractMorphological analyzers and part-of-speech taggers are key technologies for most text analysis applications. Our aim is to develop a part-of-speech tagger for annotating a wide range of Arabic text formats, …...

AbstractExpert human input can contribute in various ways to facilitate automatic annotation of natural language text. For example, a part-of-speech tagger can be trained on labeled input provided offline by …...

Online content analysis employs algorithmic methods to identify entities in unstructured text. Both machine learning and knowledge-base approaches lie at the foundation of contemporary named entities extraction systems. However, the …...

AbstractWe consider the construction of part-of-speech taggers for resource-poor languages. Recently, manually constructed tag dictionaries from Wiktionary and dictionaries projected via bitext have been used as type constraints to overcome …...

AbstractThis paper presents an open source part-of-speech tagger for the Norwegian language. It describes how an existing language processing library (FreeLing) was used to build a new part-of-speech tagger for …...

This is a system description paper for a sub- mission to Task 8 of SemEval-2016: Meaning Representation Parsing. No use was made of the training data provided by the task. …...

AbstractThis work focuses on the development of linguistic analysis tools for resource-poor languages. We use a parallel corpus to produce a multilingual word representation based only on sentence level alignment. …...

AbstractIt is standard practice in speech & language technology to rank systems according to their performance on a test set held out for evaluation. However, few researchers apply statistical tests …...