We describe a recently developed corpus annotation scheme for evaluating parsers that avoids shortcomings of current methods. The scheme encodes grammatical relations between heads and dependents, and has been used to mark up a new publicdomain corpus of naturally occurring English text. We show how the corpus can be used to evaluate the accuracy of a robust parser, and relate the corpus to ext...

The paper presents an efficient, wide-coverage, sentence generator for Dutch, which employs the Alpino grammar and lexicon. This generator consists of a chart-based sentence realizer that builds grammatical sentences for a given abstract dependency structure, and a maximum-entropy fluency ranker which selects the most fluent sentence from a set of candidate sentences for a given dependency stru...

AbstractGrammatical Evolution (GE) is one of the most popular Genetic Programming (GP) variants, and it has been used with success in several problem domains. Since original proposal, many enhancements have proposed to GE order address some its main issues improve performance.In this paper we propose Probabilistic Grammatical (PGE), which introduces a new genotypic representation mapping mechan...

Various individual differences, including ambiguity tolerance (AT), have gained momentum because of the influence they can exert on the process and product of learning, and thereby, on various aspects of the learner’s interlanguage system such as accuracy of oral speech. The present study was undertaken to examine the extent to which Iranian EFL learners’ AT was significantly correlated with th...

undoubtedly the holy quran is a unique book in arabic language, eloquently and rhetorically. its words are a pure collection of arabic literature. all poets, jurisprudents and philosophers believe it as a master art. it is a permanent treasure of arabic and for it many sciences have been generated. it kept the arabic language active and dynamic during ups and downs of the history. it also conta...

We present an implementation of a part-of-speech tagger based on a hidden Markov model. The methodology enables robust and accurate tagging with few resource requirements. Only a lexicon and some unlabeled training text are required. Accuracy exceeds 96%. We describe implementation strategies and optimizations which result in high-speed operation. Three applications for tagging are described: p...

This paper discusses the performance difference of wide-coverage parsers on small-domain speech transcripts. Two parsers (C&C CCG and RASP) are tested on the speech transcripts of two different domains (parent-child language, and picture descriptions). The performance difference between the domain-independent parsers and two domain-trained parsers (MSTParser and MEGRASP) is substantial, with a ...