We explore the integration of multiple factors such as genre and speaker gender for acoustic model adaptation tasks to improve Mandarin ASR system performance on broadcast news and broadcast conversation audio. We investigate the use of multifactor clustering of acoustic model training data and the application of MPE-MAP and fMPE-MAP acoustic model adaptations. We found that by effectively comb...

Domain adaptation is an active field of research in statistical machine translation (SMT), but so far most work has ignored the distinction between the topic and genre of documents. In this paper we quantify and disentangle the impact of genre and topic differences on translation quality by introducing a new data set that has controlled topic and genre distributions. In addition, we perform a d...

The present study puts SFL-based genre approach under examination for its effectiveness in promoting EFL writers’ genre awareness and writing competence in a 16-week semester in a state-run college in the east part of China. Three sets of data from preand post-test writings, interviews and questionnaires, are collected and analyzed with the help of the software SPSS and Range 32. The study indi...

We hypothesized that the attributes of a document’s genre determine a document’s ability to be identified uniquely. Consequently, recognizing the genre will facilitate effective user-document interaction. In this pilot study, we exposed fifteen participants to a set of paper and digital documents, each converted into two surrogates: one based on form, in which the text was masked leaving only t...

Abstract Genre recognition is a critical facet of text comprehension and text classification. In three experiments, we assessed the minimum number of words in a sentence needed for genre recognition to occur, the distribution of genres across text, and the relationship between reading ability and genre recognition. We also propose and demonstrate a computational model for genre recognition. Usi...

Every text has at least one topic and at least one genre. Evidence for a text’s topic and genre comes, in part, from its lexical and syntactic features—features used in both Automatic Topic Classification and Automatic Genre Classification (AGC). Because an ideal AGC system should be stable in the face of changes in topic distribution, we assess five previously published AGC methods with respec...

The concept of genre has already been used to analyse organizational communication. It has also been recently used to examine persistent conversations and patterns of thinking. It may there be an opportunity to apply the genre perspective to Electronic Meeting Systems (EMS) as well. This paper describes how we analysed meetings using the concept of communication genre and draws several conseque...

This paper presents a higher level representation for videos aiming at video genre retrieval. In video genre retrieval, there is a challenge that videos may comprise multiple categories, for instance, news videos may be composed of sports, documentary, and action. Therefore, it is interesting to encode the distribution of such genres in a compact and effective manner. We propose to create a vis...

This essay engages with genre as a theory and how it can be used as a framework to determine whether Islamicate or the Muslim films can be called a genre by themselves, simply by their engagement with and representation of the Muslim culture or practice. This has been done drawing upon the influence of Hollywood in genre theory and arguments surrounding the feasibility / possibility of categori...

Contemporary methods for assessing information security risks have adopted mainly technical views on information and technology assets. Organizational dynamics of information management and knowledge sharing have gained less attention. This article outlines a new, genre-based, approach to information security risk assessment in order to orientate toward organizationand knowledge-centric identif...