In this paper, we present our ongoing research on an ads quality testing tool that we call AdAlyze Redux. This tool allows advertisers to get individual best practice recommendations based on an expandable set of textual ads features, tailored to exactly the ads in an advertiser’s set of accounts. This lets them optimize their ad copies against the common online advertising key performance indi...

This study, situated in an EFL context, aimed at discovering the ways purposes behind reading activities  influence  vocabulary  knowledge  gain  and  retrieval.  Seventy  five  elementary  learners of  English  were  randomly  assigned  to  three  groups  of  ‘free  reading’,  ‘reading  comprehension’ and ‘reading to summarize’. A modified text was administered to all the three groups. The dat...

Video texts are closely related to the content of a video. They provide a valuable source for indexing and interpretation of video data. Text detection and recognition task in images or videos typically distinguished between overlay and scene text. Overlay text is artificially superimposed on the image at the time of editing and scene text is text captured by the recording system. Typically, OC...

This paper presents an end-to-end trainable fast scene text detector, named TextBoxes, which detects scene text with both high accuracy and efficiency in a single network forward pass, involving no post-process except for a standard nonmaximum suppression. TextBoxes outperforms competing methods in terms of text localization accuracy and is much faster, taking only 0.09s per image in a fast imp...

We describe the USAAR-SAPE English– Spanish Automatic Post-Editing (APE) system submitted to the APE Task organized in the Workshop on Statistical Machine Translation (WMT) in 2015. Our system was able to improve upon the baseline MT system output by incorporating Phrase-Based Statistical MT (PBSMT) technique into the monolingual Statistical APE task (SAPE). The reported final submission crucia...

We participated in the Third International Chinese Word Segmentation Bakeoff. Specifically, we evaluated our Chinese word segmenter NEUCipSeg in the close track, on all four corpora, namely Academis Sinica (AS), City University of Hong Kong (CITYU), Microsoft Research (MSRA), and University of Pennsylvania/University of Colorado (UPENN). Based on Support Vector Machines (SVMs), a basic segmente...

In this paper, we focus on a sub-problem of Arabic text error correction, namely Arabic Text Denormalization. Text Denormalization is considered an important post-processing step when performing machine translation into Arabic. We examine different approaches for denormalization via the use of language modeling, stemming, and sequence labeling. We show the effectiveness of different approaches ...

Recognising entities in social media text is difficult. NER on newswire text is conventionally cast as a sequence labeling problem. This makes implicit assumptions regarding its textual structure. Social media text is rich in disfluency and often has poor or noisy structure, and intuitively does not always satisfy these assumptions. We explore noise-tolerant methods for sequence labeling and ap...

In this study, we investigated whether reading influences contrast adaptation differently in young adult emmetropic and myopic participants at the spatial frequencies created by text rows and character strokes. Pre-adaptation contrast sensitivity was measured for test gratings with spatial frequencies of 1cdeg(-1) and 4cdeg(-1), presented horizontally and vertically. Participants then adapted t...

In this paper, we introduce the post-Minkowskian approximation of Energy-Momentum-Squared Gravity (EMSG). This is used to study gravitational energy flux in context EMSG. As an application our results, investigate EMSG effect on first time derivative orbital period binary pulsars. Utilizing post-Keplerian parameter, free parameter theory, $f_0'$, estimated for six known Taking binaries that hav...