Online shoppers depend on customer reviews when evaluating products or services. However, in the international online marketplace, reviews in a user’s language may not be available. Translation of online customer reviews is therefore an important service. A crucial aspect of this task is translating opinion words, key words that capture the reviewers’ sentiments. This is challenging because opi...

This paper presents an evaluation of the instructional text generated by Isolde, an authoring tool for technical writers that automates the production of procedural on-line help. The evaluation compares the effectiveness of the instructional text produced by Isolde with that of professionally authored instructions, such as MS Word Help. The results suggest that the documentation produced by Iso...

Current study aims to investigate the possible factors that influence online brand equity, which was measured by brand awareness, perceived quality, brand association and brand loyalty. The three predictors included in the research framework are online communication tools (which include online advertising and e-mail marketing), word of mouth and virtual community. An online questionnaire survey...

A hot task in the Computer Assisted Translation scenario is the integration of Machine Translation (MT) systems that adapt sentence after sentence to the postedits made by the translators. A main role in the MT online adaptation process is played by the information extracted from source and post-edited sentences, which in turn depends on the quality of the word alignment between them. In fact, ...

Very few pairs of English words share exactly the same letter bigrams. This linguistic property can be exploited to bring lexical context into the classification stage of a word recognition system. The lexical n-gram matches between every word in a lexicon and a subset of reference words can be precomputed. If a match function can detect matching segments of at least n-gram length from the feat...

As a result different aims were drawn; the initial aim of this research is to study the attention of the customers in word of mouth to power their online purchasing activities. The next aim is to analyze the people influenced by interest of word of mouth. The following aim is to examine the marketing behavior bearing in mind the internet progress and word of mouth, their consideration for word ...

Common approaches to automatic speech recognition (ASR) are based on training statistical models for the acoustics of speech. In our work, a retrieval-based ASR system is developed that does not rely on training and thus provides more flexible application. It is based on a set of known reference word utterances for each possibly occurring word in a test string. A test word string is identified ...

OBJECTIVE (1) To investigate the hypothesis that the vertex positive potential (VPP) and the N170 ERP components reported in the face processing literature are two manifestations of the same brain processes whose relative amplitude in a given experiment is dependent on reference electrode; (2) to investigate whether differences in face/object results reported in studies looking at the VPP and N...

The "conventional" way of obtaining word reference patterns for connected word recognition systems is to use isolatàd word patterns, and to rely on the dynamics of the matching algorithm to account for the differences in connected speech. Connected word recognition, based on such an approach, tends to become unreliable (high error rates) when the talking rate becomes grossly incommensurate with...

We propose further improvement of a handwriting recognition method that avoids segmentation while able to recognize words that were never seen before in handwritten form. This method is based on the fact that few pairs of English words share exactly the same set of letter bigrams and even fewer share longer n-grams. The lexical n-gram matches between every word in a lexicon and a set of referen...