Since 2006 we have undertaken to describe the differences between 17th century English and contemporary English thanks to NLP software. Studying a corpus spanning the whole century (tales of English travellers in the Ottoman Empire in the 17th century, Mary Astell's essay A Serious Proposal to the Ladies and other literary texts) has enabled us to highlight various lexical, morphological or gra...

This paper describes the supervised acquisition of semantic event frames based on a corpus of biomedical abstracts, in which the biological process of E. coli gene regulation has been linguistically annotated by a group of biologists in the EC research project "BOOTStrep". Gene regulation is one of the rapidly advancing areas for which information extraction could boost research. Event frames a...

In this paper we extend the work done on the two-stage summarisation method described in [1] by focusing on adapting the linguistic component to make it more suited for the summarisation task. In particular we examine methods for adapting the linguistic models (LiM) automatically to improve performance, using either unigram, bi-gram or trigram information from different sources of data. Experim...

Under the issue of gender and Natural Language Processing (NLP), most papers aim at gendernorm language that spoken by biologically males and females with opposite-sex desires. However, from the point of view of sexual orientation, this study presents the first work in the task of Chinese homosexual identification. Firstly, we collect homosexual texts from social media, and secondly examine lin...

This paper presents a work-in-progress on the automatic analysis of discourse genre in non-elicited speech. The study is focused on the development of bottom-up methods for automatic validation of discourse typologies found in linguistic descriptions (prosodic, syntactic, pragmatic and/or contextual and situational cues). The linguistic classification examined here opposes five discourse genres...

Stress is an increasingly important occupational health problem, even in developing countries suc as the Islamic Republic of Iran. The Job Content Questionnaire (JCQ) is a widely used self-administered to measure dimensions of job stress in the workplace. This study describes the preparation of a Persian (Farsi) language version of the questionnaire (P-JCQ). In the first stage, linguistic valid...

The effort required for a human annotator to detect sentiment is not uniform for all texts, irrespective of his/her expertise. We aim to predict a score that quantifies this effort, using linguistic properties of the text. Our proposed metric is called Sentiment Annotation Complexity (SAC). As for training data, since any direct judgment of complexity by a human annotator is fraught with subjec...

Inspired by our ongoing work in the project WENDY, which addresses age detection in social networks by linguistic processing (among other methods), we have built a system that makes use of a number of linguistic resources (a Spanish dictionary, and a SMS-language dictionary) and algorithms (custom text utterances tokenization, SMS to standard Spanish translation, and a number of normalization r...

BACKGROUND Dyspnoea consists of multiple dimensions including the intensity, unpleasantness, sensory qualities and emotional responses which may differ between patient groups, settings and in relation to treatment. The Dyspnoea-12 is a validated and convenient instrument for multidimensional measurement in English. We aimed to take forward a Swedish version of the Dyspnoea-12. METHODS The lin...

OBJECTIVES With the internationalization of clinical trial programs, there is an increased need to translate and culturally adapt patient-reported outcome (PRO) measures. Although guidelines for good practices in translation and linguistic validation are available, the ISPOR Patient-Reported Outcomes Translation and Linguistic Validation Task Force identified a number of areas where they felt t...