The article inquires critically into the operative understanding of “unity” when motto WCC assembly speaks love Christ uniting world. What does this mean for relationship between Christians and other religions, especially Islam? Muslims repeatedly refer to “Common Word” mentioned in Surah 3:64 as basis Muslim–Christian interactions. author shows that dispute over what “to be lord” means precise...

Word alignment is an important task of detecting translation equivalents between a sentence pair. Although word no longer necessarily needed for neural machine translation, it’s still useful in wealth applications, e.g., bilingual lexicon induction, constraint decoding, and so on. However, the most well-known aligners are Giza++ fastAlign, both which implementations traditional IBM models. To k...

Objectives: Stuttering is one of the most prevalent speech and language disorders. Symptomology of stuttering has been surveyed from different aspects such as biological, developmental, environmental, emotional, learning and linguistic. Previous researches in English-speaking people have suggested that some linguistic features such as word meanings may play a role in the frequency of speech non...

The task of generating natural human-sounding prosody for text-to-speech (TTS) has historically been one of the most challenging problems that researchers and developers have had to face. TTS systems have in general become infamous for their “robotic” intonations. This paper describes an approach to this problem which endeavors to capture as much detail as possible from speech data, but in a wa...

Knowledge-based Word sense Disambiguation (WSD) methods heavily depend on knowledge. Therefore enriching knowledge is one of the most important issues in WSD. This paper proposes a novel idea of combining WordNet and ConceptNet for WSD. First, we present a novel method to automatically disambiguate the concepts in ConceptNet; and then we enrich WordNet with large amounts of semantic relations f...

In this paper we present a method for detecting the text genre quickly and easily following an approach originally proposed in authorship attribution studies which uses as style markers the frequencies of occurrence of the most frequent words in a training corpus (Burrows, 1992). In contrast to this approach we use the frequencies of occurrence of the most frequent words of the entire written l...

Coarse word sense disambiguation (WSD) is an NLP task that is both important and practical: it aims to distinguish senses of a word that have very different meanings, while avoiding the complexity that comes from trying to finely distinguish every possible word sense. Reasoning techniques that make use of common sense information can help to solve theWSD problem by taking word meaning and conte...

Students' ability to solve word problems has an essential role in learning mathematics. However, some junior high school students still have difficulty solving problems. The difficulties experienced by cause errors when mathematical This qualitative study aims analyze students' the Least Common Multiple and Greatest Divisor Fifty-nine of Integrated Islamic Junior High School Al-Fahmi Palu were ...