Text-Video Retrieval plays an important role in multi-modal understanding and has attracted increasing attention recent years. Most existing methods focus on constructing contrastive pairs between whole videos complete caption sentences, while overlooking fine-grained cross-modal relationships, e.g., clip-phrase or frame-word. In this paper, we propose a novel method, named Hierarchical Cross-M...

This study uses a moving windows self-paced reading task to assess text comprehension of beginning and intermediate-level simplified texts and authentic texts by L2 learners engaged in a text-retelling task. Linear mixed effects (LME) models revealed statistically significant main effects for reading proficiency and text level on the number of text-based propositions recalled: More proficient r...

Localizing text regions in images taken from natural scenes is one of the challenging problems dueto variations in font, size, color and orientation of text. In this paper, we introduce a new concept socalled Edge Color Signature for localizing text regions in an image. This method is able to localizeboth Farsi and English texts. In the proposed method rst a pyramid using diff...

Domain-generalized few-shot text classification (DG-FSTC) is a new setting for (FSTC). In DG-FSTC, the model meta-trained on multi-domain dataset, and meta-tested unseen datasets with different domains. However, previous methods mostly construct semantic representations by learning from words directly, which limited in domain adaptability. this study, we enhance adaptability of utilizing distri...

the translator’s multilateral role as auser and processor of the source text as well as the producer of the targettext in today’s multi-cultural and multilingual communications has always drawnresearchers’ attention to examining translators’ actions and behavior includingthe translation process of  novicetranslators this study, outlined in the framework of descriptive translationstudies (dts), ...

Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature computed globally from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation. This leads to less discriminative power and poorer robustness. In this wor...

this study aimed to assess the quality of persian translation of orwell's (1949) nineteen eighty-four by balooch (2004) based on house's (1997) model of translation quality assessment. to do so, 23 pages (about 10 percent) of the source text were randomly selected. the profile of the source text register was produced and the genre was realized. the source text profile was compared to the transl...

This paper discusses the implication of text-level structure for text-based information processing systems. In this paper, text-level structure of research papers is described with a set of typical functional components of research papers such as, background, purpose, methods, etc. and their order in a text. In order to suggest various applications, the experiments of retrieval and passage extr...