نتایج جستجو برای: Sentence Level
تعداد نتایج: 1109775 فیلتر نتایج به سال:
abstract the present study was conducted to examine the effect of proficiency on students interaction while carrying out the grammar-based task(s) in collaboration. in particular, the study examines whether the level of proficiency affects the learners’ focus of attention to grammatical and lexical features. the study takes a further step and examines whether there is any difference in the use...
Lexical inferencing is one of the most important strategies in vocabulary learning and it plays an important role in dealing with unknown words in a text. In this regard, the aim of this study was to determine the lexical inferencing strategies used by Iranian EFL learners when they encounter unknown words at both text and sentence levels. To this end, forty lower intermediate students were div...
Lipreading is the task of decoding text from the movement of a speaker’s mouth. Traditional approaches separated the problem into two stages: designing or learning visual features, and prediction. More recent deep lipreading approaches are end-to-end trainable (Wand et al., 2016; Chung & Zisserman, 2016a). All existing works, however, perform only word classification, not sentence-level sequenc...
Writers usually need iterations of revisions and edits during their writings. To better understand the process of rewriting, we need to know what has changed between the revisions. Prior work mainly focuses on detecting corrections within sentences, which is at the level of words or phrases. This paper proposes to detect revision changes at the sentence level. Looking at revisions at a higher l...
In this paper we investigate the possibility of evaluating MT quality and fluency at the sentence level in the absence of reference translations. We measure the correlation between automatically-generated scores and human judgments, and we evaluate the performance of our system when used as a classifier for identifying highly dysfluent and illformed sentences. We show that we can substantially ...
Learning sentence representations is an essential and challenging topic in the deep learning natural language processing communities. Recent methods pre-train big models on a massive text corpus, focusing mainly representation of contextualized words. As result, these cannot generate informative embeddings since they do not explicitly exploit structure discourse relationships existing contiguou...
This article describes a method used to calculate the similarity between short English texts, specifically of sentence length. The described algorithm calculates semantic and word order similarities of two sentences. In order to do so, it uses a structured lexical knowledge base and statistical information from a corpus. The described method works well in determining sentence similarity for mos...
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