scholarly journals WORD SEGMENTATION OF OUTPUT RESPONSE FOR SIGN LANGUAGE DEVICES

2020 ◽  
Vol 21 (2) ◽  
pp. 153-163
Author(s):  
Nor Farahidah Za'bah ◽  
Ahmad Amierul Ashraf Muhammad Nazmi ◽  
Amelia Wong Azman
Keyword(s):  
Dynamic Programming ◽  
Sign Language ◽  
English Language ◽  
Word Segmentation ◽  
Input String ◽  
Text Segmentation ◽  
Segmentation Method ◽  
Text Input ◽  
Acceptable Accuracy ◽  
Language Text

Segmentation is an important aspect of translating finger spelling of sign language into Latin alphabets. Although the sign language devices that are currently available can translate the finger spelling into alphabets, there is a limitation where the output is stored in a long continuous string without spaces between words. The system proposed in this work is meant to be used together with a text-generating glove device. The system used text input string and the string is then fed into the system, one character at a time, and then it is segmented into words that is semantically correct. The proposed text segmentation method in this work is by using the dynamic programming and back-off algorithm, together with the probability score using word matching with an English language text corpus. Based on the results, the system is able to properly segment words with acceptable accuracy. ABSTRAK: Segmentasi adalah aspek penting dalam menterjemahkan ejaan bahasa isyarat ke dalam huruf Latin. Walaupun terdapat peranti bahasa isyarat yang menterjemahkan ejaan jari menjadi huruf, namun begitu, huruf-huruf yang dihasilkan disimpan dalam rentetan berterusan yang panjang tanpa jarak antara setiap perkataan. Sistem yang dicadangkan di dalam jurnal ini akan diselaraskan bersama dengan sarung tangan bahasa isyarat yang boleh menghasilkan teks. Sistem ini akan mengambil rentetan input teks di mana huruf akan dimasukkan satu persatu dan huruf-huruf itu akan disegmentasikan menjadi perkataan yang betul secara semantik. Kaedah pembahagian yang dicadangkan ialah segmentasi yang menggunakan pengaturcaraan dinamik dan kaedah kebarangkalian untuk mengsegmentasikan huruf-huruf tersebut berdasarkan padanan perkataan dengan pengkalan data di dalam Bahasa Inggeris. Berdasarkan hasil yang telah diperolehi, sistem ini berjaya mengsegmentasikan huruf-huruf tersebut dengan berkesan dan tepat.

scholarly journals Applying the Bell’s Test to Chinese Texts

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 275
Author(s):  
Igor A. Bessmertny ◽  
Xiaoxi Huang ◽  
Aleksei V. Platonov ◽  
Chuqiao Yu ◽  
Julia A. Koroleva
Keyword(s):  
Quantum Entanglement ◽  
Chinese Text ◽  
Search Engines ◽  
Text Processing ◽  
Word Segmentation ◽  
Significant Problem ◽  
Text Segmentation ◽  
Text Documents ◽  
Segmentation Algorithms ◽  
Chinese Texts

Search engines are able to find documents containing patterns from a query. This approach can be used for alphabetic languages such as English. However, Chinese is highly dependent on context. The significant problem of Chinese text processing is the missing blanks between words, so it is necessary to segment the text to words before any other action. Algorithms for Chinese text segmentation should consider context; that is, the word segmentation process depends on other ideograms. As the existing segmentation algorithms are imperfect, we have considered an approach to build the context from all possible n-grams surrounding the query words. This paper proposes a quantum-inspired approach to rank Chinese text documents by their relevancy to the query. Particularly, this approach uses Bell’s test, which measures the quantum entanglement of two words within the context. The contexts of words are built using the hyperspace analogue to language (HAL) algorithm. Experiments fulfilled in three domains demonstrated that the proposed approach provides acceptable results.

Literary Text and Language Learning Behaviour of ESL Learners

2021 ◽  
Vol 2 (1) ◽  
pp. 382-389
Author(s):  
Shaukat Ali ◽  
Saddam Hussain ◽  
Iftikhar Ali
Keyword(s):  
Language Learning ◽  
English Language ◽  
Comparison Group ◽  
Learning Activities ◽  
Quasi Experimental ◽  
Field Notes ◽  
Esl Learners ◽  
Language Text ◽  
Better Than ◽  
Speaking Skills

This study exploits John Milton's poems "On His Blindness, and "Methought I Saw My Late Espoused Saint" for teaching speaking skills to ESL learners. The study utilized a quasi-experimental design consisting of a treatment group (TG) and a comparison group (CG). CG was taught through conventional language text whereas TG was treated with the aforementioned poems. The main focus of the study was to observe the language learning behavior of the students of both TG and CG during language learning activities. The study therefore employed observation field notes beside the speaking type pretest and posttest as tools of data collection. The thematic analysis of the observation field notes indicated that the students of TG were confident, motivated, involved in, and excited about the language learning activities. On the contrary, the students of the CG were found to be hesitant, passive, and demotivated during the language learning venture. Consequently, the students of TG performed significantly better than that of CG on the posttest. The study recommends that poetry should be utilized for teaching the English language in general and speaking skills in particular.

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