What is skewing in translation?

What is skewing in translation?

Such perspective has been in line with the new paradigm of translation studies, ideological skewing, that refers to the way in which the ideological stance of a translation as the product of a translator belonging to a specific socio-cultural context, tends to differ from the ideological standpoint of its original.

Why do some words not translate?

Some people even believe that translation is not even possible between languages, because languages are so tightly linked to their culture. Words that are untranslatable normally are tied to an experience that is unique to a specific culture or society.

What do we compare in back translation and why?

We compare the back translation to the source text to flag any areas where concepts might diverge. If there are substantial differences between the original source text and the translation of the target, the original translator addresses any ambiguities or inconsistencies.

What is skewing in electrical engineering?

The rotor or stator slot of the induction motor skewed through some angle so that the bars lie under alternate harmonic poles of the same polarity or other words, bars must be skewed through two pitches. The main purpose of skewing is to reduce the magnetic logging between the starter and the rotor.

Why skewing is used in induction motor?

Since the skewed rotor slot is not parallel to the start slot in an induction motor, there is more leakage reactance. The skewing of the rotor reduces the tooth harmonics, and thus prevents the crawling effect. Reduces Magnetic Hum: The skewing helps in reducing the magnetic hum, and the motor runs quieter.

What is translation problem?

Common challenges in translation include knowing about a variety of features such as the language structure which differs between languages. For example, a simple English sentence has a subject, a verb, and an object, such as ‘She eats chicken.

Why are there so many English terms which are not commonly translated in other languages?

The October 2019 update, for example, saw some 650 new words, phrases and senses added to the dictionary. Many of these have evolved in the English language very recently as a result of cultural and political occurrences. This means that they often have no direct, single-word equivalent in many other languages.

What is a problem researchers can identify when using the back translation method?

What is a problem with using the “back-translation” method? The literal meaning of the words is sometimes lost. Participants might not have good enough language skills to understand the materials. The researcher has no way of identifying whether the translators faithfully captured the meaning.

Why is skewing necessary?

The main purpose of skewing is to reduce the magnetic logging between the starter and the rotor. Generally, motor manufacture does not skew the stator slot. The yellow color has some angle which is called skewing rotor.

How does skewing reduce harmonics?

The skew factor indicates the reduction of the electromagnetic coupling. For the harmonics, the electromagnetic coupling is reduced as the order of the harmonic is increased. In some cases, the effect of the harmonics is canceled.

What is skewing in motor?

In the induction motor rotor, the slots for the placement of conductors are not made exactly in parallel with the rotor shaft. A slight angle is maintained that means the rotor slots are made in some angle with the rotor shaft. This is called Skewing of the rotor or Skewed Rotor.

What is skewness and why is it important?

The concept of skewness is baked into our way of thinking. When we look at a visualization, our minds intuitively discern the pattern in that chart. As you might already know, India has more than 50\% of its population below the age of 25 and more than 65\% below the age of 35.

What is the value of skewness of zero?

Therefore, even the value of skewness is not exactly zero; it is nearly zero. Although the value of zero is used as a reference for determining the skewness of a distribution.

What is the relationship between kurtosis and skewness?

That is, data sets with high kurtosis tend to have heavy tails, or outliers. Data sets with low kurtosis tend to have light tails, or lack of outliers. A uniform distribution would be the extreme case. The histogramis an effective graphical technique for showing both the skewness and kurtosis of data set.

What is the value of skewness for a positively skewed distribution?

The value of skewness for a positively skewed distribution is greater than zero. As you might have already understood by looking at the figure, the value of mean is the greatest one followed by median and then by mode. So why is this happening?