Search for my tongue analysis. Anaylis of Search for my Tongue 2022-11-17
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The poem "Search for My Tongue" by Sujata Bhatt is a powerful and emotional depiction of the difficulties and struggles of linguistic and cultural identity. Through the use of vivid imagery and personal anecdotes, Bhatt conveys the sense of loss and longing that comes with being disconnected from one's native language.
The poem is structured around the metaphor of a plant searching for its tongue, with the speaker's own linguistic identity being represented as the plant. The use of this metaphor serves to emphasize the deep emotional significance that language holds for the speaker, as it is something that is integral and intrinsic to their identity.
One of the key themes in the poem is the conflict between the speaker's two languages, English and Gujarati. The speaker describes how the English language has "swallowed" their Gujarati tongue, causing them to feel as if they have lost a part of themselves. This struggle to balance and reconcile their two languages is something that many immigrants and second-generation immigrants can relate to, as they often find themselves torn between their cultural heritage and the dominant culture of their new home.
Another important theme in the poem is the concept of belonging and home. The speaker laments the fact that they can no longer fully express themselves in their native language, and describes feeling like an outsider in their own home. This sense of displacement and alienation is something that many people who have immigrated to a new country can relate to, as they often struggle to find their place in a new cultural environment.
Overall, "Search for My Tongue" is a poignant and evocative exploration of the complexities of linguistic and cultural identity. Through the use of vivid imagery and personal anecdotes, Bhatt effectively conveys the sense of loss and longing that comes with being disconnected from one's native language, and the struggle to find a sense of belonging in a new cultural environment.
Tongue Image Analysis [PDF] [3vvjm4pemlcg]
This often involves ideological struggles with the conscience that give rise to negative insights and understandings. She discusses the pain she has experienced because of being prohibited from, or ridiculed for, using her own language. Neural Computing and Applications, 21 8 , 1819—1826. For instance, Wong and Huang 2001 , Jang et al. First, we tested the mean and standard deviation of the area metrics among all test images, as shown in Table 4. Another notable characteristic of an illuminant is color temperature. Reprinted from Wu and Zhang 2015 , with permission from Elsevier 118 7 Tongue Segmentation by Fusing Region-Based and Edge-Based … this book refers to a rectangular area, whose main content is the tongue body.
Finally, several important performance indicators, including illumination uniformity, system reproducibility, and accuracy, were tested. Then, we adopted a fast marching method to connect four detected reliable points together to get a close curve, which is based on edge features. Similarities Between Mother Tongue And How To Tame A Wild Tongue 504 Words 3 Pages The power of language We all have some form of language limitations, no matter where we come from and what our background is. In addition, the tongue shape is also used to indicate particular pathologies. A Snake-Based Approach to Automated Tongue Image Segmentation.
Analysis of Search for my Tongue by Sujata Bhatt Essay Example
In this way, the three bands for matrix S are uncorrelated with each other. By its very nature, tongue image analysis is cross-disciplinary in several aspects. Her half English heritage makes such display seem excessive. A quantitative evaluation on 200 images indicates that the normalized mean distance to the closest point is 0. Interactive image segmentation by maximal similarity based region merging. Pattern Recognition Letters, 24 7 , 983—992. Automatic tongue image segmentation based on gradient vector flow and region merging.
Analysis Of "Search For My Tongue" By Sujata Bhatt
The poem was decorated by using poetic devices such as Personification, Metaphor, Attitude, Repetition, Language, Identity and Visual Imagery. Thereby, developed algorithms and obtained analytical results may not be reliable and convincing, and may suffer from limited applicability. In this section, the two methods are introduced. Journal of Investigative Dermatology, 77 1 , 13—19. Therefore, in order to develop suitable tongue correction methods and thus to improve the correction accuracy, further optimization and improvement of the current correction methods need to be implemented and tested. The other is whether it has little effect on the true boundary of the tongue body.
Applied Optics, 43 10 , 2079—2088. Moreover, the testing errors reflect the robustness of these algorithms. In the model developed by Cohen 1991 , potential forces are directly imposed on a snake, thus it may allow some partial segments of the contour to become trapped in spurious edges due to its flexibility. To this end, we change 6. We used one hidden layer while the number of units N in the hidden layer was 10.
If they are out of the tongue region, the locations of image centers seriously affect the performance of the segmentation method. Unlike global bi-thresholding, which uses a uniform threshold value to binarize the image, every K line of the polar edge image has its own local threshold value in our local adaptive bi-thresholding method. We built a studio with two constant light sources for this capture device so that the illumination is constant. The reported experimental results show that this algorithm is suitable for tongue diagnosis and promising results were obtained. The largest color difference between the images acquired at different times was 1.
Since the region-based method has a statistical basis, interference from tiny complex edges inside the tongue body, which constitutes the main characteristics of the tongue, will be reduced compared with edge-based method. Compared with tongue images captured by different cameras, the color variation between the images acquired under different lighting conditions is much bigger. Primal sketch feature extraction from a log-polar image. Additionally, this statement brings to light her diverse background in a variety of English dialects; making her opinion seem more valid. The colorchecker, which is usually utilized as a reference target for correction model training, plays a crucial role in the correction process. The other is image segmentation which extracts the tongue region from the original image which almost always includes lips, parts of the face, and the teeth.
Used with permission from Zhang et al. Knowledge discovery in traditional Chinese medicine: State of the art and perspectives. Obviously, other disadvantages encompass intrinsic limitations of region-based segmentation methods. The contour obtained by the region-based approach was utilized to act as a mask during the fast marching process edge-based and the mask added limits so that the ultimate contour would be more robust. There are many methods to evaluate the quality of segmentation methods, including comparison with manual segmentation.
Search For My Tongue by Sujata Bhatt — Poem Analysis
I feel embarrassed when he speaks in English in public because it creates an image of the privileged. Tan makes her arguments in a way that is easily understood. The lines move backwards and forwards as if to symbolise the move between the two cultures. However, some students born in England assert that they feel English and that this poem could unfairly generate suspicion and mistrust. To sum up the improvement, an adaptive method to mark the tongue body is proposed. It also projects the dilemma of divided culture and divided families. Tongue color is an essential attribute of the tongue body which Fig.
