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If you try running this code snippet yourself, expect to see different numbers in the resulting list, and also the interloper may be in a different position. However, it's really just the type-token distinction, familiar from natural language, here showing up in a programming language. We've actually seen them in the previous chapters, and sometimes referred to them as "pairs", since there were always two members. Like lists and strings, tuples can be indexed Notice in this code sample that we computed multiple values on a single line, separated by commas.These comma-separated expressions are actually just tuples — Python allows us to omit the parentheses around tuples if there is no ambiguity.(The underscore is just a regular Python variable, but we can use underscore by convention to indicate that we will not use its value.) We began by talking about the commonalities in these sequence types, but the above code illustrates important differences in their roles.First, strings appear at the beginning and the end: this is typical in the context where our program is reading in some text and producing output for us to read.Readers new to programming should work through them carefully and consult other introductions to programming if necessary; experienced programmers can quickly skim this chapter.In the other chapters of this book, we have organized the programming concepts as dictated by the needs of NLP.An individual entry is represented as a tuple because it is a collection of objects with different interpretations, such as the orthographic form, the part of speech, and the pronunciations (represented in the SAMPA computer-readable phonetic alphabet Note A good way to decide when to use tuples vs lists is to ask whether the interpretation of an item depends on its position.For example, a tagged token combines two strings having different interpretation, and we choose to interpret the first item as the token and the second item as the tag. This is more than a notational convenience: in many language processing situations, generator expressions will be more efficient. Since the calling function simply has to find the maximum value — the word which comes latest in lexicographic sort order — it can process the stream of data without having to store anything more than the maximum value seen so far.
Here we pick up on some issues of programming style that have important ramifications for the readability of your code, including code layout, procedural vs declarative style, and the use of loop variables. Presently we do not have any external funding support and if we are unable to raise enough funds through your donations, it will be necessary to limit some functions of the website. This project is the result of our personal initiative, effort, and funding.This is an idiomatic and readable way to move items inside a list.It is equivalent to the following traditional way of doing such tasks that does not use tuples (notice that this method needs a temporary variable For some NLP tasks it is necessary to cut up a sequence into two or more parts.
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For instance, we might want to "train" a system on 90% of the data and test it on the remaining 10%.