Efficient combination of multiple word models for improved sequence comparison

Efficient combination of multiple word models for improved sequence comparison

MOTIVATION Studies of efficient and sensitive sequence comparison methods are driven by a need to find homologous regions of weak similarity between large genomes. RESULTS We describe an improved method for finding similar regions between two sets of DNA sequences. The new method generalizes existing methods by locating word matches between sequences under two or more word models and extendin...

Efficient Method Based on Combination of Deep Learning Models for Sentiment Analysis of Text

People's opinions about a specific concept are considered as one of the most important textual data that are available on the web. However, finding and monitoring web pages containing these comments and extracting valuable information from them is very difficult. In this regard, developing automatic sentiment analysis systems that can extract opinions and express their intellectual process has ...

Word Alignment Combination over Multiple Word Segmentation

In this paper, we present a new word alignment combination approach on language pairs where one language has no explicit word boundaries. Instead of combining word alignments of different models (Xiang et al., 2010), we try to combine word alignments over multiple monolingually motivated word segmentation. Our approach is based on link confidence score defined over multiple segmentations, thus ...

Comparison of the programming models for considering risk in farm planning:application of utility-efficient programming

assessment of deep word knowledge in elementary and advanced iranian efl learners: a comparison of selective and productive wat tasks

testing plays a vital role in any language teaching program. it allows teachers and stakeholders, including program administrators, parents, admissions officers and prospective employers to be assured that the learners are progressing according to an accepted standard (douglas, 2010). the problems currently facing language testers have both practical and theoretical implications but the first i...