Title
Strings of Natural Languages: Unsupervised Analysis and Segmentation on the Expression Level,Used
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Product Description Learning a second language is often difficult. One major reason for this is the way we learn: We try to translate the words and concepts of the other language into those of our own language. As long as the languages are fairly similar, this works quite well. However, when the languages differ to a great degree, problems are bound to appear. For example, to someone whose first language is French, English is not difficult to learn. In fact, he can pick up any English book and at the very least recognize words and sentences. But if he is tasked with reading a Japanese text, he will be completely lost: No familiar letters, no whitespace, and only occasionally a glyph that looks similar to a punctuation mark appears. Nevertheless, anyone can learn any language. Correct pronunciation and understanding alien utterances may be hard for the individual, but as soon as the words are transcribed to some kind of script, they can be studied and given some time understood. The script thus offers itself as a reliable medium of communication. Sometimes the script can be very complex, though. For instance, the Japanese language is not much more difficult than German but the Japanese script is. If someone untrained in the language is given a Japanese book and told to create a list of its vocabulary, he will likely have to succumb to the task. Or does he not? Are there maybe ways to analyze the text, regardless of his unfamiliarity with this type of script and language? Should there not be characteristics shared by all languages which can be exploited? This thesis assumes the point of view of such a person, and shows how to segment a corpus in an unfamiliar language while employing as little previous knowledge as possible. To this end, a methodology for the analysis of unknown languages is developed. The single requirement made is that a large corpus in electronic form which underwent only a minimum of preprocessing is available. Analysis is limited strictly to the expression lev About the Author Markus Stengel, DiplomInformatik und Japanologie, Studium an der Universitt Tbingen und an der Technischen Universitt Toyohashi (Japan). Abschluss 2007 als DiplomInformatiker und Bachelor of Arts in Japanologie. Derzeit ttig in der IT eines Finanzdienstleisters.
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Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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