9 research outputs found

    Detecting Article Errors Based on the Mass Count Distinction

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    D7.1. Criteria for evaluation of resources, technology and integration.

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    This deliverable defines how evaluation is carried out at each integration cycle in the PANACEA project. As PANACEA aims at producing large scale resources, evaluation becomes a critical and challenging issue. Critical because it is important to assess the quality of the results that should be delivered to users. Challenging because we prospect rather new areas, and through a technical platform: some new methodologies will have to be explored or old ones to be adapted

    D6.1: Technologies and Tools for Lexical Acquisition

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    This report describes the technologies and tools to be used for Lexical Acquisition in PANACEA. It includes descriptions of existing technologies and tools which can be built on and improved within PANACEA, as well as of new technologies and tools to be developed and integrated in PANACEA platform. The report also specifies the Lexical Resources to be produced. Four main areas of lexical acquisition are included: Subcategorization frames (SCFs), Selectional Preferences (SPs), Lexical-semantic Classes (LCs), for both nouns and verbs, and Multi-Word Expressions (MWEs)

    Learning the Countability of English Nouns from Corpus Data

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    This paper describes a method for learning the countability preferences of English nouns from raw text corpora. The method maps the corpus-attested lexico-syntactic properties of each noun onto a feature vector, and uses a suite of memory-based classifiers to predict membership in 4 countability classes. We were able to assign countability to English nouns with a precision of 94.6%

    Exploring Intersemiotic Complementarity in three Namibian Physical Science teachers’ classroom practice

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    The Namibian Science curriculum promotes learners’ development of self-confidence, self-knowledge and understanding of the world in which they live. The world we live in is increasingly multimodal, necessitating a multiliteracy in learners in order for them to engage meaningfully with knowledge and skills. Furthermore, scientists themselves engage in a range of inscription practices. While verbal language is the primary medium through which scientific knowledge and concepts are constructed, communicated, and learned, visuals can help learners to gain knowledge that they may not receive from verbal explanation alone. The verbal and visual semiotic modes can also function in a complementarity way, and this is significant in contexts where science lessons are for the most part in a second language - as is the case in Namibia where the language of learning and teaching (LoLT) of English is commonly not the learners’ mother tongue. However, no studies were found exploring the nature of verbal-visual intersemiotic complementarity in the practice of Namibian science teachers, or whether it was related to the number of years of science teaching experience. This study thus aimed to explore the dynamics of verbal-visual intersemiotic complementarity in the classroom practice of three Junior Secondary Physical Science teachers, with varying amounts of science teaching experience, in the Oshana region of Namibia. This qualitative case study, on the dynamics of verbal-visual intersemiotic complementarity in science teacher classroom practice follows in the path of earlier studies which employed Systemic Functional Linguistics (SFL) in the analysis of multimodal discourse. This thesis is also informed by Social Constructivism in which the various semiotic modes are recognised as components of the toolkit for mediating learning. The study adopted the interpretive paradigm. Data collection involved lesson observations and semi-structured interviews. Data analysis involved identification and coding of themes and categories inductively. The results reveal that the participant teachers employed the full range of intersemiotic sense relations which literature outlines. It was found that the ideational meanings in the verbal and visual modes of the science teachers’ practice are lexico-semantically related through these intersemiotic sense relations. While some teachers utilised some intersemiotic sense relations more often than others, there were no correspondences evident between the use of verbal-visual intersemiotic complementarity and the number of years of science teaching experience. The results also indicated that different intersemiotic sense relations served different purposes in the science classroom. The verbal-visual intersemiotic complementarity in the participant teachers’ practice tended to focus on: physical material, processes, symbolism or resemblance. This study has significant implications, providing an empirical basis for informing pre-service Physical Science teachers’ training and guiding the in-service training of Physical Science teachers in Namibia. Since its effective use may not be left up to teaching experience, Namibian Physical Science teacher training programmes need to include the use of verbal-visual intersemiotic complementarity in order to equip and empower Physical Science teachers

    Learning the countability of English nouns from corpus data

    No full text
    This paper describes a method for learning the countability preferences of English nouns from raw text corpora. The method maps the corpus-attested lexico-syntactic properties of each noun onto a feature vector, and uses a suite of memory-based classifiers to predict membership in 4 countability classes. We were able to assign countability to English nouns with a precision of 94.6%.
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