Integrated Use of Internal and External Evidence in the Alignment of Multi-Word Named Entities

This paper proposes a method of extracting English multi-word named entities and their Japanese equivalents from a parallel corpus. The aim of our research is to extract multi-word named entities which are not listed in a dictionary of an English-to-Japanese MT system and appear infrequently in a parallel corpus. Our method makes its alignment on the basis of two kinds of external evidence provided by the context in which a bilingual pair appears, as well as two kinds of internal evidence within the pair. Each evidence is accompanied by a score, and the aggregate score is computed as a weighted sum of the scores. The appropriate weights are estimated with the logistic regression analysis. An experiment using a parallel corpus of Yomiuri Shimbun and The Daily Yomiuri satisfactorily found that 86.36% of the extracted bilingual pairs with the highest scores were judged to be correct

Improving the translation environment for professional translators

When using computer-aided translation systems in a typical, professional translation workflow, there are several stages at which there is room for improvement. The SCATE (Smart Computer-Aided Translation Environment) project investigated several of these aspects, both from a human-computer interaction point of view, as well as from a purely technological side. This paper describes the SCATE research with respect to improved fuzzy matching, parallel treebanks, the integration of translation memories with machine translation, quality estimation, terminology extraction from comparable texts, the use of speech recognition in the translation process, and human computer interaction and interface design for the professional translation environment. For each of these topics, we describe the experiments we performed and the conclusions drawn, providing an overview of the highlights of the entire SCATE project

Multimedia search without visual analysis: the value of linguistic and contextual information

This paper addresses the focus of this special issue by analyzing the potential contribution of linguistic content and other non-image aspects to the processing of audiovisual data. It summarizes the various ways in which linguistic content analysis contributes to enhancing the semantic annotation of multimedia content, and, as a consequence, to improving the effectiveness of conceptual media access tools. A number of techniques are presented, including the time-alignment of textual resources, audio and speech processing, content reduction and reasoning tools, and the exploitation of surface features

References on the Study and Research of Public External Operational Audit of Structural Non-reimbursable Funds an Epistemological Approach

The International Auditing and Assurance Standards Board (IAASB) of the International Federation of Accountants (IFAC) is the international organism of standardization in the auditing field [1]. In our opinion, the theories, the methodologies and the standards issued by the mentioned organism, are still the paradigms with the most significant impact on audit rules and practices. Since some theorists define accounting as a social applied science, we can also affirm that the audit activity has a social role [2]. We intend to treat the mentioned subject not only from gnoseological point of view, in other words, we won’t just broaden the current theories and practices. In research, beside the theoretical analysis work, we intend to have a critical attitude both regarding previous research and defining and spreading innovative ideas relating to the suggested topic, as well. We may say that studying theorists work who are linked to the field news, in order to formulate the rules of good practice is an epistemological matter. From the epistemological point of view, in auditing, we operate with valuable judgments, namely evaluations or practical assessments of the phenomenon which our work can influence by adopting an approval or disapproval attitude. Improving the audit of operations financed from external grants can and should be a leverage of the utmost importance for their strategic absorption, implementation according to the agreements signed with the European Commission under the full protection of EU financial interests. The present project is focused on increasing the optimization of audit procedures and techniques as regards grants audit operations so that their implementation to be transparent, effective, efficient and economic for the national economy, and complying with the financial interests of the European Union. The challenge of this approach is caused by the fact that the external public audit of the external funded grants should fully comply with International Audit Standards and Community Regulations. Therefore, personal contributions to the research subject theme must be reported to the conceptual, institutional and procedural existing framework. These ideas will be refined and consolidated over the scientific research

Representation and parsing of multiword expressions

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches

Current trends

Deep parsing is the fundamental process aiming at the representation of the syntactic structure of phrases and sentences. In the traditional methodology this process is based on lexicons and grammars representing roughly properties of words and interactions of words and structures in sentences. Several linguistic frameworks, such as Headdriven Phrase Structure Grammar (HPSG), Lexical Functional Grammar (LFG), Tree Adjoining Grammar (TAG), Combinatory Categorial Grammar (CCG), etc., offer different structures and combining operations for building grammar rules. These already contain mechanisms for expressing properties of Multiword Expressions (MWE), which, however, need improvement in how they account for idiosyncrasies of MWEs on the one hand and their similarities to regular structures on the other hand. This collaborative book constitutes a survey on various attempts at representing and parsing MWEs in the context of linguistic theories and applications

A Survey of Volunteered Open Geo-Knowledge Bases in the Semantic Web

Over the past decade, rapid advances in web technologies, coupled with innovative models of spatial data collection and consumption, have generated a robust growth in geo-referenced information, resulting in spatial information overload. Increasing 'geographic intelligence' in traditional text-based information retrieval has become a prominent approach to respond to this issue and to fulfill users' spatial information needs. Numerous efforts in the Semantic Geospatial Web, Volunteered Geographic Information (VGI), and the Linking Open Data initiative have converged in a constellation of open knowledge bases, freely available online. In this article, we survey these open knowledge bases, focusing on their geospatial dimension. Particular attention is devoted to the crucial issue of the quality of geo-knowledge bases, as well as of crowdsourced data. A new knowledge base, the OpenStreetMap Semantic Network, is outlined as our contribution to this area. Research directions in information integration and Geographic Information Retrieval (GIR) are then reviewed, with a critical discussion of their current limitations and future prospects