This study was conducted to investigate the influence of teaching accurate grammar inwriting via enriched long text and short text for the elementary students atShokouhe_Farhang institute. The homogenized subjects were divided into two groups of 18and 17 participants. Using a writing exam as a pretest in order to check the students’knowledge in English past tense. The control group received the...

Optimising for one grammatical representation, but evaluating over a different one is a particular challenge for parsers and n-best CCG parsing. We find that this mismatch causes many n-best CCG parses to be semantically equivalent, and describe a hashing technique that eliminates this problem, improving oracle n-best F-score by 0.7% and reranking accuracy by 0.4%. We also present a comprehensi...

Wikis have been increasingly integrated into English-writing teaching and served as one of the Web’s most crucial social-networking tools, improving writing EFL learners worldwide. The purpose this study has to examine positive effects wiki-mediated collaborative peer feedback on grammatical lexical accuracy Saudi learners’ writing. To end, 26 female secondary-school partici...

Weightless neural networks constitute a still not fully explored Machine Learning paradigm, even if its first model, WiSARD, is considered. Bleaching, an improvement on WiSARD’s learning mechanism was recently proposed in order to avoid overtraining. Although presenting very good results in different application domains, the original sequential bleaching and its confidence modulation mechanisms...

It is a difficult problem to recognize baseball live speech because the speech is rather fast, noisy and disfluent due to rephrasing, repetition, mistake and grammatical deviation caused by spontaneous speaking style. To solve these problems, we propose in this paper a speech recognition method of incorporating the baseball game knowledge such as counting of inning, out, strike and ball. Due to...

A novel method for feature selection and construction is introduced. The method improves the classification accuracy, utilizing the well-established technique of grammatical evolution by creating non-linear mappings of the original features to artificial ones in order to improve the effectiveness of artificial intelligence tools such as multi-layer perceptron (MLP), Radial-basis-function (RBF) ...

A method for resolving the ellipses that appear in Japanese dialogues is proposed. This method resolves not only the subject ellipsis, but also those in object and other grammatical cases. In this approach, a machine-learning algorithm is used to select the attributes necessary for a resolution. A decision tree is built, and used as the actual ellipsis resolver. The results of blind tests have ...

We present a novel scheme for wordbased Japanese typed dependency parser which integrates syntactic structure analysis and grammatical function analysis such as predicate-argument structure analysis. Compared to bunsetsu-based dependency parsing, which is predominantly used in Japanese NLP, it provides a natural way of extracting syntactic constituents, which is useful for downstream applicatio...

Learning a foreign language takes time and effort. In the last few years, too much emphasis has been placed on oral communication skills and English teachers make their students speak English without paying enough attention to grammatical accuracy. As a result, while students’ ability in terms of fluency has improved, they often cannot communicate appropriately in English due to a lack of gramm...

In this paper, we show that local features computed from the derivations of tree substitution grammars — such as the identify of particular fragments, and a count of large and small fragments — are useful in binary grammatical classification tasks. Such features outperform n-gram features and various model scores by a wide margin. Although they fall short of the performance of the hand-crafted ...