This research looks at the effects of segment order and segmentation on translation retrieval performance for an experimental Japanese–English translation memory system. We implement a number of both bag-of-words and segment-ordersensitive string comparison methods, and test each over character-based and wordbased indexing using n-grams of various orders. To evaluate accuracy, we propose an aut...

In this paper we propose a new approach for the genre tagging task of videos, using only their ASR transcripts and associated metadata. This new approach is based on calculating the semantic similarity between the nouns detected in the video transcripts and a bag of nouns generated from WordNet, for each category proposed to classify the videos. Specifically, we have used the Lin measure based ...

In order to successfully apply opinion mining (OM) to the large amounts of usergenerated content produced every day, we need robust models that can handle the noisy input well yet can easily be adapted to a new domain or language. We here focus on Opinion Mining for YouTube by (i) modeling classifiers that predict the type of a comment and its polarity, while distinguishing whether the polarity...

every year large amounts of grapes are stores in normal and cold rooms to offer off-season of grapes to the market which based on several reasons their quality and weight greatly decreases. therefore, in order to decrease the post harvest losses of grapes and selection of suitable cultivars for long time storage, this study was conducted in two experiments, one in a factorial experiment based o...

OBJECTIVE The aim of this study was to investigate relations among different aspects in supervised word sense disambiguation (WSD; supervised machine learning for disambiguating the sense of a term in a context) and compare supervised WSD in the biomedical domain with that in the general English domain. METHODS The study involves three data sets (a biomedical abbreviation data set, a general ...

Past research has established that listeners can accommodate a wide range of talkers in understanding language. How this adjustment operates, however, is a matter of debate. Here, listeners were exposed to spoken words from a speaker of an American English dialect in which the vowel /ae/ is raised before /g/, but not before /k/. Results from two experiments showed that listeners' identification...

Litchi is a non-climacteric fruit (Wills et al. 2004) and it deteriorates very fast after harvest. Various technologies have been devised to minimize the post-harvest losses of litchi, one of such technologies is the use of PP bag & low temperature. The objectives of the study were to evaluate the effects of thiLitchi is a non-climacteric fruit and it deteriorates very fast after harvest. Vario...

Automatic text classification is the process of automatically classifying text documents into pre-defined document classes. Traditionally, documents are represented in the so called bag-of-words model. In this model documents are simply represented as vectors, in which dimensions correspond to words. In this project a representation called bag-of-concepts has been evaluated. This representation...

In this paper, we describe a reading comprehension system. This system can return a sentence in a given document as the answer to a given question. This system applies bag-of-words matching approach as the baseline and combines three technologies to improve the result. These technologies include named entity filtering, pronoun resolution and verb dependency matching. By applying these technolog...

We introduce a new language independent text categorization technique based on byte-level n-gram profiles, an n-gram weighting factors scheme, and a simple algorithm for comparing profiles. The technique does not require any morphological analysis of texts, any preprocessing steps, or any prior information about document content or language. We apply it to the text categorization problem in two...