In this paper, we describe the methodological procedures and issues that emerged from the development of a pilot Levantine Arabic Treebank (LATB) at the Linguistic Data Consortium (LDC) and its use at the Johns Hopkins University (JHU) Center for Language and Speech Processing workshop on Parsing Arabic Dialects (PAD). This pilot, consisting of morphological and syntactic annotation of approxim...

As the organizers of the ACL 2007 Deep Linguistic Processing workshop (Baldwin et al., 2007), we were asked to discuss our perspectives on the role of current trends in deep linguistic processing for parsing technology. We are particularly interested in the ways in which efficient, broad coverage parsing systems for linguistically expressive grammars can be built and integrated into application...

The Linguistic Data Consortium (LDC) creates and provides language resources (LRs) including data, tools and specifications. In order to assess the impact of these LRs and to support both LR users and authors, LDC is collecting metadata about and URLs for research papers that introduce, describe, critique, extend or rely upon LDC LRs. Current collection efforts focus on papers published in jour...

This paper describes our Question Answering system participated in QAC Task1 of NTCIR3 and reports the results with some observations. Through analyzing the previous TREC QA data, we defined passage and developed passage selection method suitable for Question Answering. Using LexicoSemantic Patterns (LSP), we identify answer type of a question and detect answer candidates without any deep lingu...

We report on the development and employment of lexical entry templates in a large–coverage unification–based grammar of Spanish. The aim of the work reported in this paper is to provide robust deep linguistic processing in order to make the grammar more adequate for industrial NLP applications.

The originality of this work leads in tackling text compression using an unsupervised method, based on a deep linguistic analysis, and without resorting on a learning corpus. This work presents a system for dependent tree pruning, while preserving the syntactic coherence and the main informational contents, and led to an operational software, named COLIN. Experiment results show that our compre...

Introduction: In this study, we reported the reliability and validity of Bedside version of Persian WAB (P-WAB-1) adapted from Western Aphasia Battery (WAB-R)1,2. P-WAB-1 is a clinical linguistic measuring tool to determine severity and type of aphasia in brain damaged patients based on Aphasia Quotient (AQ) as a functional measure. For the purposes of a quick clinical screening of aphasia in...

The purpose of this investigation was to specify the kinds of miscomprehensions produced by individuals listening to synthetic speech. In the first study, 80 written summaries of synthesized speech passages were analyzed to determine the types of miscomprehensions or linguistic departures made by listeners when attempting to recall the spoken texts. These departures were classified according to...