THE USE OF CROSSWORD PUZZLE ON THE STUDENTS’ ACHIEVEMENT IN LEARNING VOCABULARY

Vocabulary have a big contribution to support the successful students’ of learning English, because without grammar is not big problem in communication, but without vocabulary is large problem in communication with students. It means that vocabulary is very important thing in learning English. This research was conducted the use of crossword puzzle on the students’ achievement in learning vocabulary. The minimum completeness criteria of english lesson SMA Negeri 1 Badar =60. Based on the research mean score of students test on pre test =44,57. The mean score on posttest improved become = 78,04 and it reached the minimum completeness criteria score. There were 33,47 point the difference between pre test to the post test score. The calculation of data by using t test and found the t-observation=3,285 then compared it with ttable=2,074 of level alpha = 5%. It meant that tobservation was higher that t-table =3,285>2,074. So, the researcher concluded that there were achievement on student use of crossword puzzle on the Students’ in learning vocabulary on the X students’ of SMA Negeri 1 Badar

A DESCRIPTIVE STUDY ON THE ENGLISH TEACHING-LEARNING PROCESS AT THE THIRD YEAR OF SMPN 1 BOYOLALI IN 2007/2008 ACADEMIC YEAR

This study attempts to describe the method used in English teaching- learning process, to describe the problem faced by the teacher in English teaching, and to describe the problem faced by the student in English learning at SMPN 1 Boyolali in 2007/2008 Academic Year. The writer limits the research for the third year students. This research belongs to qualitative research which employs descriptive data. The data are derived from event, informants, and documents. There are three techniques in collecting data, namely: Interview, observation, and documentation. Based on the data analysis, the conclusions are as follows: (1) the method used by teacher is Natural Approach (NA) and Communicative Language Teaching (CLT), (2) the problems faced by the teacher are the students cannot memorize the vocabulary well, so teacher must teach the vocabulary repeatedly. It makes the teacher must an ticipate the time allotment , In listening class, the students got the minimum score, and (3) t he students have some problems in listening class. Vocabulary and accents have been the common problem for the students

A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model

A graph theoretic approach is proposed for object shape representation in a hierarchical compositional architecture called Compositional Hierarchy of Parts (CHOP). In the proposed approach, vocabulary learning is performed using a hybrid generative-descriptive model. First, statistical relationships between parts are learned using a Minimum Conditional Entropy Clustering algorithm. Then, selection of descriptive parts is defined as a frequent subgraph discovery problem, and solved using a Minimum Description Length (MDL) principle. Finally, part compositions are constructed by compressing the internal data representation with discovered substructures. Shape representation and computational complexity properties of the proposed approach and algorithms are examined using six benchmark two-dimensional shape image datasets. Experiments show that CHOP can employ part shareability and indexing mechanisms for fast inference of part compositions using learned shape vocabularies. Additionally, CHOP provides better shape retrieval performance than the state-of-the-art shape retrieval methods.Comment: Paper : 17 pages. 13th European Conference on Computer Vision (ECCV 2014), Zurich, Switzerland, September 6-12, 2014, Proceedings, Part III, pp 566-581. Supplementary material can be downloaded from http://link.springer.com/content/esm/chp:10.1007/978-3-319-10578-9_37/file/MediaObjects/978-3-319-10578-9_37_MOESM1_ESM.pd

Improving Students' Ability in Vocabulary Mastery through Index Card Match

The purpose of this research is to find out of how well Index Card Match strategy can Improve students’ ability in vocabulary mastery in the first grade of MTs Hidayatus Shibyan students of P.Na’im Sui.Ambawang Kubu Raya. The method used in this research was a Classroom Action Research (CAR) which consisted of Planning, Acting, Observing, and Reflecting. This research was conducted in two cycles in order to get maximum result of the research. In cycle 1, the quantitative data showed that the students mean score was 65,20 and in cycle 2 the mean score was 75,30. Based on the minimum of standard achievement (KKM), that is 70, the mean score of the second cycle was showed improvement from the first cycle. It showed that the students got improvement and past the KKM. In The qualitative data describe that the students become more often in asking the question to the teacher, especially in cycle 2. The students seems to motivated to find more vocabulary related to the topic given. This is indicate that the use of Index Card Match improved the students vocabulary mastery and make the students become more active and motivated to improve their vocabulary. In conclussion, the students’ problem in their vocabulary mastery could be successfully solved through Index Card Match Strategy.

IMPROVING STUDENTS VOCABULARY BY USING BACK TO THE BOARD GAME AT NINTH GRADE OF ISLAMIC JUNIOR HIGH SCHOOL NURUL YAQIN BANYUATES SAMPANG

The research focuses on some specifics problems; the researcher formulates the research problem are: (1) How is the implementation of back to the board game which can improve the students’ vocabulary at ninth grade of Islamic junior high school NURUL YAQIN Banyuates Sampang in Academic year 2018/2019? (2) How is the improvement of the students’ vocabulary by back to the board game at ninth grade of Islamic junior high school NURUL YAQIN Banyuates Sampang in Academic year 2018/2019? The researcher uses classroom action research. Classroom action research is aimed to reveal the students’ real problem in a classroom. The researcher takes the data from class A of ninth grade students of SMPI Nurul Yaqin Banyuates sampang. In the pre-test there were 5 students from 19 students who passed the KKM. And in the post test 1) there were 10 students who passed the KKM from 19 students, and in the post test 2) there were 15 students who passed the KKM. There were improvement of post test 1 and post test 2. The cycle will be successful if 80 % students get minimum score of 70. After calculating the pre-test and post-test score, it showed that the mean score of pre-test 45,74 and the mean of post-test 74,95. So the researcher didn’t need the next cycle because based on the result of test, the result score that 15 students have reached the minimum criteri

THE INFLUENCE OF USING HANGMAN GAME TOWARDS STUDENTS’ VOCABULARY MASTERY AT THE SECOND SEMESTER OF THE SEVENTH GRADE OF MTSN 2 BANDAR LAMPUNG IN THE ACADEMIC YEAR OF 2016/2017

One of the most important components in English is vocabulary. Based on the preliminary research, the students’ score of vocabulary of the seventh grade of MTs N 2 Bandar Lampung are low. Most of them, 67.70 %, got score under the criteria of minimum mastery (KKM), 75. Some techniques were needed by teacher to overcome that problem. One of the techniques is Hangman game. The objective of this research is to know whether there is significant influence of using Hangman game toward students’ vocabulary mastery at the seventh grade of MTs N 2 Bandar Lampung in the academic year of 2016/2017 or not. The design of this research was pre-test post-test group design. The population of this research was the students of MTsN 2 Bandar Lampung at the seventh grade. The researcher chose the sample randomly by using cluster random sampling technique. The researcher used Hangman game in Experimental class as a treatment and translation technique in control class. In collecting the data, the researcher used instrument in multiple choice form. The instrument was used for the pre test and post test. The researcher did the pre test to know the students’ vocabulary mastery before the treatment, and post test to find out the students’ vocabulary mastery after conducting the treatment. Before analyzing the data, the researcher did test for normality and homogeneity to know whether the data had normal distribution and the variance of the data was homogenous or not. The result was the data did not have normal distribution and the variance of the data was homogenous. Therefore, to analyze the data, the researcher used Mann-Withney test. After giving the post test, the researcher analyzed the data by using Mann-Withney test. It was found out that result of Sig (Pvalue) = 0.000 < α = 0.05. It means that Ho is rejected and Ha is accepted. To sum up, the use of Hangman game toward students’ vocabulary mastery had significant influence. The conclusion of this research is Hangman game is effective to be used toward students’ vocabulary mastery

VoG: Summarizing and Understanding Large Graphs

How can we succinctly describe a million-node graph with a few simple sentences? How can we measure the "importance" of a set of discovered subgraphs in a large graph? These are exactly the problems we focus on. Our main ideas are to construct a "vocabulary" of subgraph-types that often occur in real graphs (e.g., stars, cliques, chains), and from a set of subgraphs, find the most succinct description of a graph in terms of this vocabulary. We measure success in a well-founded way by means of the Minimum Description Length (MDL) principle: a subgraph is included in the summary if it decreases the total description length of the graph. Our contributions are three-fold: (a) formulation: we provide a principled encoding scheme to choose vocabulary subgraphs; (b) algorithm: we develop \method, an efficient method to minimize the description cost, and (c) applicability: we report experimental results on multi-million-edge real graphs, including Flickr and the Notre Dame web graph.Comment: SIAM International Conference on Data Mining (SDM) 201

{VoG}: {Summarizing} and Understanding Large Graphs

How can we succinctly describe a million-node graph with a few simple sentences? How can we measure the "importance" of a set of discovered subgraphs in a large graph? These are exactly the problems we focus on. Our main ideas are to construct a "vocabulary" of subgraph-types that often occur in real graphs (e.g., stars, cliques, chains), and from a set of subgraphs, find the most succinct description of a graph in terms of this vocabulary. We measure success in a well-founded way by means of the Minimum Description Length (MDL) principle: a subgraph is included in the summary if it decreases the total description length of the graph. Our contributions are three-fold: (a) formulation: we provide a principled encoding scheme to choose vocabulary subgraphs; (b) algorithm: we develop \method, an efficient method to minimize the description cost, and (c) applicability: we report experimental results on multi-million-edge real graphs, including Flickr and the Notre Dame web graph

Enhancing Domain Word Embedding via Latent Semantic Imputation

We present a novel method named Latent Semantic Imputation (LSI) to transfer external knowledge into semantic space for enhancing word embedding. The method integrates graph theory to extract the latent manifold structure of the entities in the affinity space and leverages non-negative least squares with standard simplex constraints and power iteration method to derive spectral embeddings. It provides an effective and efficient approach to combining entity representations defined in different Euclidean spaces. Specifically, our approach generates and imputes reliable embedding vectors for low-frequency words in the semantic space and benefits downstream language tasks that depend on word embedding. We conduct comprehensive experiments on a carefully designed classification problem and language modeling and demonstrate the superiority of the enhanced embedding via LSI over several well-known benchmark embeddings. We also confirm the consistency of the results under different parameter settings of our method.Comment: ACM SIGKDD 201