Why UTF-32 instead of UTF-16 if we have surrogate pairs? - unicode

If I understand correctly, UTF-32 can handle every character in the universe. So can UTF-16, through the use of surrogate pairs. So is there any good reason to use UTF-32 instead of UTF-16?

In UTF-32 a unicode character would always be represented by 4 bytes so parsing code would be easier to write than that of a UTF-16 string because in UTF-16 a character is represented by varying number of bytes. On the downside a UTF-32 chatacter would always require 4 bytes which can be wasteful if you are working mostly with say english characters. So its a design choice depending upon your requirements whether to use UTF-16 or UTF-32.

Someone might prefer to deal with UTF-32 instead of UTF-16 because dealing with surrogate pairs is pretty much always handling 'special-cases', and having to deal with those special cases means you have areas where bugs may creep in because you deal with them incorrectly (or more likely just forget to deal with them at all).
If the increased memory usage of UTF-32 is not an issue, the reduced complexity might be enough of an advantage to choose it.

Here is a good documentation from The Unicode Consortium too.
Comparison of the Advantages of UTF-32, UTF-16, and UTF-8
Copyright © 1991–2009 Unicode, Inc. The Unicode Standard, Version 5.2
On the face of it, UTF-32 would seem to be the obvious choice of Unicode encoding forms for an internal processing code because it is a fixed-width encoding form. It can be conformantly bound to the C and C++ wchar_t, which means that such programming languages may offer built-in support and ready-made string APIs that programmers can take advan- tage of. However, UTF-16 has many countervailing advantages that may lead implementers to choose it instead as an internal processing code.
While all three encoding forms need at most 4 bytes (or 32 bits) of data for each character, in practice UTF-32 in almost all cases for real data sets occupies twice the storage that UTF-16 requires. Therefore, a common strategy is to have internal string storage use UTF-16 or UTF-8 but to use UTF-32 when manipulating individual characters.
UTF-32 Versus UTF-16. On average, more than 99 percent of all UTF-16 data is expressed using single code units. This includes nearly all of the typical characters that software needs to handle with special operations on text—for example, format control characters. As a consequence, most text scanning operations do not need to unpack UTF-16 surrogate pairs at all, but rather can safely treat them as an opaque part of a character string.
For many operations, UTF-16 is as easy to handle as UTF-32, and the performance of UTF- 16 as a processing code tends to be quite good. UTF-16 is the internal processing code of choice for a majority of implementations supporting Unicode. Other than for Unix plat- forms, UTF-16 provides the right mix of compact size with the ability to handle the occa- sional character outside the BMP.
UTF-32 has somewhat of an advantage when it comes to simplicity of software coding design and maintenance. Because the character handling is fixed width, UTF-32 processing does not require maintaining branches in the software to test and process the double code unit elements required for supplementary characters by UTF-16. Conversely, 32-bit indices into large tables are not particularly memory efficient. To avoid the large memory penalties of such indices, Unicode tables are often handled as multistage tables (see “Multistage Tables” in Section 5.1, Transcoding to Other Standards). In such cases, the 32-bit code point values are sliced into smaller ranges to permit segmented access to the tables. This is true even in typical UTF-32 implementations.
The performance of UTF-32 as a processing code may actually be worse than the perfor- mance of UTF-16 for the same data, because the additional memory overhead means that cache limits will be exceeded more often and memory paging will occur more frequently. For systems with processor designs that impose penalties for 16-bit aligned access but have very large memories, this effect may be less noticeable.
In any event, Unicode code points do not necessarily match user expectations for “characters.” For example, the following are not represented by a single code point: a combining character sequence such as ; a conjoining jamo sequence for Korean; or the Devanagari conjunct “ksha.” Because some Unicode text pro- cessing must be aware of and handle such sequences of characters as text elements, the fixed-width encoding form advantage of UTF-32 is somewhat offset by the inherently vari- able-width nature of processing text elements. See Unicode Technical Standard #18, “Uni- code Regular Expressions,” for an example where commonly implemented processes deal with inherently variable-width text elements owing to user expectations of the identity of a “character.”
UTF-8. UTF-8 is reasonably compact in terms of the number of bytes used. It is really only at a significant size disadvantage when used for East Asian implementations such as Chi- nese, Japanese, and Korean, which use Han ideographs or Hangul syllables requiring three- byte code unit sequences in UTF-8. UTF-8 is also significantly less efficient in terms of pro- cessing than the other encoding forms.
Binary Sorting. A binary sort of UTF-8 strings gives the same ordering as a binary sort of Unicode code points. This is obviously the same order as for a binary sort of UTF-32 strings.
General Structure
All three encoding forms give the same results for binary string comparisons or string sort- ing when dealing only with BMP characters (in the range U+0000..U+FFFF). However, when dealing with supplementary characters (in the range U+10000..U+10FFFF), UTF-16 binary order does not match Unicode code point order. This can lead to complications when trying to interoperate with binary sorted lists—for example, between UTF-16 sys- tems and UTF-8 or UTF-32 systems. However, for data that is sorted according to the con- ventions of a specific language or locale rather than using binary order, data will be ordered the same, regardless of the encoding form.

Short answer: no.
Longer answer: yes, for compatibility with other things that didn't get the memo.
Less sarcastic answer: When you care more about speed of indexing than about space usage, or as an intermediate format of some sort, or on machines where alignment issues were more important than cache issues, or...

UTF-8 can also represent any unicode character!
If your text is mostly english, you can save a lot of space by using utf-8, but indexing characters is not O(1), because some characters take up more than just one byte.
If space is not as important to your situation as speed is, utf-32 would suit you better, because indexing is O(1)
UTF-16 can be better than utf-8 for non-english text because in utf-8 you have a situation where some characters take up 3 bytes, where as in utf16 they'd only take up two bytes.

There are probably a few good reasons, but one would be to speed up indexing / searching, i.e. in databases and the like.
With UTF-32 you know that each character is 4 bytes. With UTF-16 you don't know what length any particular character will be.
For example, you have a function that returns the nth char of a string:
char getChar(int index, String s );
If you are coding in a language that has direct memory access, say C, then in UTF-32 this function may be as simple as some pointer arithmatic (s+(4*index)), which would be some amounts O(1).
If you are using UTF-16 though, you would have to walk the string, decoding as you went, which would be O(n).

In general, you just use the string datatype/encoding of the underlying platform, which is often (Windows, Java, Cocoa...) UTF-16 and sometimes UTF-8 or UTF-32. This is mostly for historical reasons; there is little difference between the three Unicode encodings: all three are well-defined, fast and robust, and all of them can encode every Unicode code point sequence. The unique feature of UTF-32 that it is a fixed-width encoding (meaning that each code point is represented by exactly one code unit) is of little use in practice: Your memory management layer needs to know about the number and width of code units, and users are interested in abstract characters and graphemes. As mentioned by the Unicode standard, Unicode applications have to deal with combined characters, ligatures and so on anyway and the handling of surrogate pairs, despite being conceptually different, can be done within the same technical framework.
If I were to reinvent the world, I'd probably go for UTF-32 because it is simply the least complex encoding, but as it stands the differences are too small to be of practical concern.

Related

Why can't we store Unicode directly?

I read some article about Unicode and UTF-8.
The Unicode standard describes how characters are represented by code points. A code point is an integer value, usually denoted in base 16. In the standard, a code point is written using the notation U+12CA to mean the character with value 0x12ca (4,810 decimal). The Unicode standard contains a lot of tables listing characters and their corresponding code points:
Strictly, these definitions imply that it’s meaningless to say ‘this is character U+12CA‘. U+12CA is a code point, which represents some particular character; in this case, it represents the character ‘ETHIOPIC SYLLABLE WI’. In informal contexts, this distinction between code points and characters will sometimes be forgotten.
To summarize the previous section: a Unicode string is a sequence of code points, which are numbers from 0 through 0x10FFFF (1,114,111 decimal). This sequence needs to be represented as a set of bytes (meaning, values from 0 through 255) in memory. The rules for translating a Unicode string into a sequence of bytes are called an encoding.
I wonder why we have to encode U+12CA to UTF-8 or UTF-16 instead of saving the binary of 12CA in the disk directly. I think the reason is:
Unicode is not Self-synchronizing code, so if
10 represent A
110 represent B
10110 represent C
When I see 10110 in the disk we can't tell it's A and B or just C.
Unicode uses much more space instead of UTF-8 or UTF-16.
Am I right?
Read about Unicode, UTF-8 and the UTF-8 everywhere website.
There are more than a million Unicode code-points (you mentionned 1,114,111...). So you need at least 21 bits to be able to separate all of them (since 221 > 1114111).
So you can store Unicode characters directly, if you represent each of them by a wide enough integral type. In practice, that type would be some 32 bits integer (because it is not convenient to handle 3-bytes i.e. 24 bits integers). This is called UCS-4 and some systems or software do already handle their Unicode string in such a format.
Notice also that displaying Unicode strings is quite difficult, because of the variety of human languages (and also since Unicode has combining characters). Some need to be displayed right to left (Arabic, Hebrew, ....), others left to right (English, French, Spanish, German, Russian ...), and some top to down (Chinese, ...). A library displaying Unicode strings should be capable of displaying a string containing English, Chinese and Arabic words.... Then you see that decoding UTF-8 is the easy part of Unicode string displaying (and storing UCS-4 strings won't help much).
But, since English is the dominant language in IT technology (for economical reasons), it is very often cheaper to keep strings in UTF8 form. If most of the strings handled by your system are English (or in some other European language using the Latin alphabet), it is cheaper and it takes less space to keep them in UTF-8.
I guess than when China will become a dominant power in IT, things might change (or maybe not).
(I have no idea of the most common encoding used today on Chinese supercomputers or smartphones; I guess it is still UTF-8)
In practice, use a library (perhaps libunistring or Glib in C), to process UTF-8 strings and another one (e.g. pango and GTK in C) to display them. You'll find many Unicode related libraries in various programming languages.
I wonder why we have to encode U+12CA to UTF-8 or UTF-16 instead of saving the binary of 12CA in the disk directly.
How do you write 12CA to a disk directly? It is a bigger value than a byte can hold, so you need to write at least two bytes. Do you write 12 followed by CA? You just encoded it in UTF-16BE. That's what an encoding is...a definition of how to write an abstract number as bytes.
Other reading:
The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!)
Pragmatic Unicode
For good and specific reasons, Unicode doesn't specify any particular encoding. If it makes sense for your scenario, you can specify your own.
Because Unicode doesn't specify any serialization, there is no way to "directly" store Unicode, just like you can't "directly" store a mathematical number or a flow chart to implement a program you designed. The question isn't really well-defined.
There are a number of existing serialization formats (encodings) so it is very likely that it makes the most sense to use an existing one unless your requirements are significantly different than what any existing encoding provides; even then, is it really worth the cost?
A stream of bits is just a stream of bits. Conventionally, we chop them up into groups of 8 and call that a "byte" and the latter half of your question is really "if it's not a byte, how can you tell which bits belong to which symbol?" There are many ways to do that, but the common ones generally define a sequence of some particular length (8, 16, and 32 are often convenient for reasons of compatibility with bus width on modern computers etc) but again, if you really wanted to, you could come up with something different. Huffman trees come to mind as one way to implement a way to communicate a structure of variable length (and is used for precisely that in many compression algorithms).
Consider one situation, even if you can directly save unicode binary into disk and close the file, what happens when you open the file again? It's just a bunch of binary, you don't know how many bytes a char occupied right, which means, if '🥶'(U+129398) and 'A' are the content of your file, then if you take it 1 byte for a char, then '🥶' can't be decoded correctly, which takes 2 bytes, then instead 1 emoji you see, you get two, which is U+63862 and U+65536 unicode char.

What is the limit to encoding base in case of Unicode strings as opposed to base64 having base = 64?

This is actually related to code golf in general, but also appliable elsewhere. People commonly use base64 encoding to store large amounts of binary data in source code.
Assuming all programming languages to be happy to read Unicode source code, what is the max N, for which we can reliably devise a baseN encoding?
Reliability here means being able to encode/decode any data, so every single combination of input bytes can be encoded, and then decoded. The encoded form is free from this rule.
The main goal is to minimize the character count, regardless of byte-count.
Would it be base2147483647 (32-bit) ?
Also, because I know it may vary from browser-to-browser, and we already have problems with copy-pasting code from codegolf answers to our editors, the copy-paste-ability is also a factor here. I know there is a Unicode range of characters that are not displayed.
NOTE:
I know that for binary data, base64 usually expands data, but here the character-count is the main factor.
It really depends on how reliable you want the encoding to be. Character encodings are designed with trade-offs, and in general the more characters allowed, the less likely it is to be universally accepted i.e. less reliable. Base64 isn't immune to this. RFC 3548, published in 2003, mentions that case sensitivity may be an issue, and that the characters + and / may be problematic in certain scenarios. It describes Base32 (no lowercase) and Base16 (hex digits) as potentially safer alternatives.
It does not get better with Unicode. Adding that many characters introduces many more possible points of failure. Depending on how stringent your requirements are, you might have different values for N. I'll cover a few possibilities from large N to small N, adding a requirement each time.
1,114,112: Code points. This is the number of possible code points defined by the Unicode Standard.
1,112,064: Valid UTF. This excludes the surrogates which cannot stand on their own.
1,111,998: Valid for exchange between processes. Unicode reserves 66 code points as permanent non-characters for internal use only. Theoretically, this is the maximum N you could justifiably expect for your copy-paste scenario, but as you noted, in practice many other Unicode strings will fail that exercise.
120,503: Printable characters only, depending on your definition. I've defined it to be all characters outside of the Other and Separator general categories. Also, starting from this bullet point, N is subject to change in future versions of Unicode.
103,595: NFKD normalized Unicode. Unfortunately, many processes automatically normalize Unicode input to a standardized form. If the process used NFKC or NFKD, some information may have been lost. For more reliability, the encoding should thus define a normalization form, with NFKD being better for increasing character count
101,684: No combining characters. These are "characters" which shouldn't stand on their own, such as accents, and are meant to be combined with another base character. Some processes might panic if they are left standing alone, or if there are too many combining characters on a single base character. I've now excluded the Mark category.
85: ASCII85, aka. I want my ASCII back. Okay, this is no longer Unicode, but I felt like mentioning it because it's a lesser known ASCII-only encoding. It's mainly used in Adobe's PostScript and PDF formats, and has a 5:4 encoded data size increase, rather than Base64's 4:3 ratio.

What is the Best UTF [closed]

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I'm really confused about UTF in Unicode.
there is UTF-8, UTF-16 and UTF-32.
my question is :
what UTF that are support all Unicode blocks ?
What is the best UTF(performance, size, etc), and why ?
What is different between these three UTF ?
what is endianness and byte order marks (BOM) ?
Thanks
what UTF that are support all Unicode blocks ?
All UTF encodings support all Unicode blocks - there is no UTF encoding that can't represent any Unicode codepoint. However, some non-UTF, older encodings, such as UCS-2 (which is like UTF-16, but lacks surrogate pairs, and thus lacks the ability to encode codepoints above 65535/U+FFFF), may not.
What is the best UTF(performance, size, etc), and why ?
For textual data that is mostly English and/or just ASCII, UTF-8 is by far the most space-efficient. However, UTF-8 is sometimes less space-efficient than UTF-16 and UTF-32 where most of the codepoints used are high (such as large bodies of CJK text).
What is different between these three UTF ?
UTF-8 encodes each Unicode codepoint from one to four bytes. The Unicode values 0 to 127, which are the same as they are in ASCII, are encoded like they are in ASCII. Bytes with values 128 to 255 are used for multi-byte codepoints.
UTF-16 encodes each Unicode codepoint in either two bytes (one UTF-16 value) or four bytes (two UTF-16 values). Anything in the Basic Multilingual Plane (Unicode codepoints 0 to 65535, or U+0000 to U+FFFF) are encoded with one UTF-16 value. Codepoints from higher plains use two UTF-16 values, through a technique called 'surrogate pairs'.
UTF-32 is not a variable-length encoding for Unicode; all Unicode codepoint values are encoded as-is. This means that U+10FFFF is encoded as 0x0010FFFF.
what is endianness and byte order marks (BOM) ?
Endianness is how a piece of data, particular CPU architecture or protocol orders values of multi-byte data types. Little-endian systems (such as x86-32 and x86-64 CPUs) put the least-significant byte first, and big-endian systems (such as ARM, PowerPC and many networking protocols) put the most-significant byte first.
In a little-endian encoding or system, the 32-bit value 0x12345678 is stored or transmitted as 0x78 0x56 0x34 0x12. In a big-endian encoding or system, it is stored or transmitted as 0x12 0x34 0x56 0x78.
A byte order mark is used in UTF-16 and UTF-32 to signal which endianness the text is to be interpreted as. Unicode does this in a clever way -- U+FEFF is a valid codepoint, used for the byte order mark, while U+FFFE is not. Therefore, if a file starts with 0xFF 0xFE, it can be assumed that the rest of the file is stored in a little-endian byte ordering.
A byte order mark in UTF-8 is technically possible, but is meaningless in the context of endianness for obvious reasons. However, a stream that begins with the UTF-8 encoded BOM almost certainly implies that it is UTF-8, and thus can be used for identification because of this.
Benefits of UTF-8
ASCII is a subset of the UTF-8 encoding and therefore is a great way to introduce ASCII text into a 'Unicode world' without having to do data conversion
UTF-8 text is the most compact format for ASCII text
Valid UTF-8 can be sorted on byte values and result in sorted codepoints
Benefits of UTF-16
UTF-16 is easier than UTF-8 to decode, even though it is a variable-length encoding
UTF-16 is more space-efficient than UTF-8 for characters in the BMP, but outside ASCII
Benefits of UTF-32
UTF-32 is not variable-length, so it requires no special logic to decode
“Answer me these questions four, as all were answered long before.”
You really should have asked one question, not four. But here are the answers.
All UTF transforms by definition support all Unicode code points. That is something you needn’t worry about. The only problem is that some systems are really UCS-2 yet claim they are UTF-16, and UCS-2 is severely broken in several fundamental ways:
UCS-2 is not a valid Unicode encoding.
UCS-2 supports only ¹⁄₁₇ᵗʰ of Unicode. That is, Plane 0 only, not Planes 1–16.
UCS-2 permits code points that The Unicode Standard guarantees will never be in a valid Unicode stream. These include
all 2,048 UTF-16 surrogates, code points U+D800 through U+DFFF
the 32 non-character code points between U+FDD0 and U+FDEF
both sentinels at U+FFEF and U+FFFF
For what encoding is used internally by seven different programming languages, see slide 7 on Feature Support Summary in my OSCON talk from last week entitled “Unicode Support Shootout”. It varies a great deal.
UTF-8 is the best serialization transform of a stream of logical Unicode code points because, in no particular order:
UTF-8 is the de facto standard Unicode encoding on the web.
UTF-8 can be stored in a null-terminated string.
UTF-8 is free of the vexing BOM issue.
UTF-8 risks no confusion of UCS-2 vs UTF-16.
UTF-8 compacts mainly-ASCII text quite efficiently, so that even Asian texts that are in XML or HTML often wind up being smaller in bytes than UTF-16. This is an important thing to know, because it is a counterintuitive and surprising result. The ASCII markup tags often make up for the extra byte. If you are really worried about storage, you should be using proper text compression, like LZW and related algorithms. Just bzip it.
If need be, it can be roped into use for trans-Unicodian points of arbitrarily large magnitude. For example, MAXINT on a 64-bit machine becomes 13 bytes using the original UTF-8 algorithm. This property is of rare usefulness, though, and must be used with great caution lest it be mistaken for a legitimate UTF-8 stream.
I use UTF-8 whenever I can get away with it.
I have already given properties of UTF-8, so here are some for the other two:
UTF-32 enjoys a singular advantage for internal storage: O(1) access to code point N. That is, constant time access when you need random access. Remember we lived forever with O(N) access in C’s strlen function, so I am not sure how important this is. My impression is that we almost always process our strings in sequential not random order, in which case this ceases to be a concern. Yes, it takes more memory, but only marginally so in the long run.
UTF-16 is a terrible format, having all the disadvantages of UTF-8 and UTF-32 but none of the advantages of either. It is grudgingly true that when properly handled, UTF-16 can certainly be made to work, but doing so takes real effort, and your language may not be there to help you. Indeed, your language is probably going to work against you instead. I’ve worked with UTF-16 enough to know what a royal pain it is. I would stay clear of both these, especially UTF-16, if you possibly have any choice in the matter. The language support is almost never there, because there are massive pods of hysterical porpoises all contending for attention. Even when proper code-point instead of code-unit access mechanisms exist, these are usually awkward to use and lengthy to type, and they are not the default. This leads too easily to bugs that you may not catch until deployment; trust me on this one, because I’ve been there.
That’s why I’ve come to talk about there being a UTF-16 Curse. The only thing worse than The UTF-16 Curse is The UCS-2 Curse.
Endianness and the whole BOM thing are problems that curse both UTF-16 and UTF-32 alike. If you use UTF-8, you will not ever have to worry about these.
I sure do hope that you are using logical (that is, abstract) code points internally with all your APIs, and worrying about serialization only for external interchange alone. Anything that makes you get at code units instead of code points is far far more hassle than it’s worth, no matter whether those code units are 8 bits wide or 16 bits wide. You want a code-point interface, not a code-unit interface. Now that your API uses code points instead of code units, the actual underlying representation no longer matters. It is important that this be hidden.
Category Errors
Let me add that everyone talking about ASCII versus Unicode is making a category error. Unicode is very much NOT “like ASCII but with more characters.” That might describe ISO 10646, but it does not describe Unicode. Unicode is not merely a particular repertoire but rules for handling them. Not just more characters, but rather more characters that have particular rules accompanying them. Unicode characters without Unicode rules are no longer Unicode characters.
If you use an ASCII mindset to handle Unicode text, you will get all kinds of brokenness, again and again. It doesn’t work. As just one example of this, it is because of this misunderstanding that the Python pattern-matching library, re, does the wrong thing completely when matching case-insensitively. It blindly assumes two code points count as the same if both have the same lowercase. That is an ASCII mindset, which is why it fails. You just cannot treat Unicode that way, because if you do you break the rules and it is no longer Unicode. It’s just a mess.
For example, Unicode defines U+03C3 GREEK SMALL LETTER SIGMA and U+03C2 GREEK SMALL LETTER FINAL SIGMA as case-insensitive versions of each other. (This is called Unicode casefolding.) But since they don’t change when blindly mapped to lowercase and compared, that comparison fails. You just can’t do it that way. You can’t fix it in the general case by switching the lowercase comparison to an uppercase one, either. Using casemapping when you need to use casefolding belies a shakey understanding of the whole works.
(And that’s nothing: Python 2 is broken even worse. I recommend against using Python 2 for Unicode; use Python 3 if you want to do Unicode in Python. For Pythonistas, the solution I recommend for Python’s innumerably many Unicode regex issues is Matthew Barnett’s marvelous regex library for Python 2 and Python 3. It is really quite neat, and it actually gets Unicode casefolding right — amongst many other Unicode things that the standard re gets miserably wrong.)
REMEMBER: Unicode is not just more characters: Unicode is rules for handling more characters. One either learns to work with Unicode, or else one works against it, and if one works against it, then it works against you.
All of them support all Unicode code points.
They have different performance characteristics - for example, UTF-8 is more compact for ASCII characters, whereas UTF-32 makes it easier to deal with the whole of Unicode including values outside the Basic Multilingual Plane (i.e. above U+FFFF). Due to its variable width per character, UTF-8 strings are hard to use to get to a particular character index in the binary encoding - you have scan through. The same is true for UTF-16 unless you know that there are no non-BMP characters.
It's probably easiest to look at the wikipedia articles for UTF-8, UTF-16 and UTF-32
Endianness determines (for UTF-16 and UTF-32) whether the most significant byte comes first and the least significant byte comes last, or vice versa. For example, if you want to represent U+1234 in UTF-16, that can either be { 0x12, 0x34 } or { 0x34, 0x12 }. A byte order mark indicates which endianess you're dealing with. UTF-8 doesn't have different endiannesses, but seeing a UTF-8 BOM at the start of a file is a good indicator that it is UTF-8.
Some good questions here and already a couple good answers. I might be able to add something useful.
As said before, all three cover the full set of possible codepoints, U+0000 to U+10FFFF.
Depends on the text, but here are some details that might be of interest. UTF-8 uses 1 to 4 bytes per char; UTF-16 uses 2 or 4; UTF-32 always uses 4. A useful thing to note is this. If you use UTF-8 then then English text will be encoded with the vast majority of characters in one byte each, but Chinese needs 3 bytes each. Using UTF-16, English and Chinese will both require 2. So basically UTF-8 is a win for English; UTF-16 is a win for Chinese.
The main difference is mentioned in the answer to #2 above, or as Jon Skeet says, see the Wikipedia articles.
Endianness: For UTF-16 and UTF-32 this refers to the order in which the bytes appear; for example in UTF-16, the character U+1234 can be encoded either as 12 34 (big endian), or 34 12 (little endian). The BOM, or byte order mark is interesting. Let's say you have a file encoded in UTF-16, but you don't know whether it is big or little endian, but you notice the first two bytes of the file are FE FF. If this were big-endian the character would be U+FEFF; if little endian, it would signify U+FFFE. But here's the thing: In Unicode the codepoint FFFE is permanently unassigned: there is no character there! Therefore we can tell the encoding must be big-endian. The FEFF character is harmless here; it is the ZERO-WIDTH NO BREAK SPACE (invisible, basically). Similarly if the file began with FF FE we know it is little endian.
Not sure if I added anything to the other answers, but I have found the English vs. Chinese concrete analysis useful in explaining this to others in the past.
One way of looking at it is as size over complexity. Generally they increase in the number of bytes they need to encode text, but decrease in the complexity of decoding the scheme they use to represent characters. Therefore, UTF-8 is usually small but can be complex to decode, whereas UTF-32 takes up more bytes but is easy to decode (but is rarely used, UTF-16 being more common).
With this in mind UTF-8 is often chosen for network transmission, as it has smaller size. Whereas UTF-16 is chosen where easier decoding is more important than storage size.
BOMs are intended as information at the beginning of files which describes which encoding has been used. This information is often missing though.
Joel Spolsky wrote a nice introductory article about Unicode:
The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!)

Dummy's guide to Unicode

Could anyone give me a concise definitions of
Unicode
UTF7
UTF8
UTF16
UTF32
Codepages
How they differ from Ascii/Ansi/Windows 1252
I'm not after wikipedia links or incredible detail, just some brief information on how and why the huge variations in Unicode have come about and why you should care as a programmer.
This is a good start: The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!)
If you want a really brief introduction:
Unicode in 5 Minutes
Or if you are after one-liners:
Unicode: a mapping of characters to integers ("code points") in the range 0 through 1,114,111; covers pretty much all written languages in use
UTF7: an encoding of code points into a byte stream with the high bit clear; in general do not use
UTF8: an encoding of code points into a byte stream where each character may take one, two, three or four bytes to represent; should be your primary choice of encoding
UTF16: an encoding of code points into a word stream (16-bit units) where each character may take one or two words (two or four bytes) to represent
UTF32: an encoding of code points into a stream of 32-bit units where each character takes exactly one unit (four bytes); sometimes used for internal representation
Codepages: a system in DOS and Windows whereby characters are assigned to integers, and an associated encoding; each covers only a subset of languages. Note that these assignments are generally different than the Unicode assignments
ASCII: a very common assignment of characters to integers, and the direct encoding into bytes (all high bit clear); the assignment is a subset of Unicode, and the encoding a subset of UTF-8
ANSI: a standards body
Windows 1252: A commonly used codepage; it is similar to ISO-8859-1, or Latin-1, but not the same, and the two are often confused
Why do you care? Because without knowing the character set and encoding in use, you don't really know what characters a given byte stream represents. For example, the byte 0xDE could encode
Þ (LATIN CAPITAL LETTER THORN)
fi (LATIN SMALL LIGATURE FI)
ή (GREEK SMALL LETTER ETA WITH TONOS)
or 13 other characters, depending on the encoding and character set used.
As well as the oft-referenced Joel one, I have my own article which looks at it from a .NET-centric viewpoint, just for variety...
Yea I got some insight but it might be wrong, however it's helped me to understand it.
Let's just take some text. It's stored in the computers ram as a series of bytes, the codepage is simply the mapping table between the bytes and characters you and i read. So something like notepad comes along with its codepage and translates the bytes to your screen and you see a bunch of garbage, upside down question marks etc. This does not mean your data is garbled only that the application reading the bytes is not using the correct codepage. Some applications are smarter at detecting the correct codepage to use than others and some streams of bytes in memory contain a BOM which stands for a Byte Order Mark and this can declare the correct codepage to use.
UTF7, 8 16 etc are all just different codepages using different formats.
The same file stored as bytes using different codepages will be of a different filesize because the bytes are stored differently.
They also don't really differ from windows 1252 as that's just another codepage.
For a better smarter answer try one of the links.
Here, read this wonderful explanation from the Joel himself.
The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!)
Others have already pointed out good enough references to begin with. I'm not listing a true Dummy's guide, but rather some pointers from the Unicode Consortium page. You'll find some more nitty-gritty reasons for the usage of different encodings at the Unicode Consortium pages.
The Unicode FAQ is a good enough place to answer some (not all) of your queries.
A more succinct answer on why Unicode exists, is present in the Newcomer's section of the Unicode website itself:
Unicode provides a unique number for
every character, no matter what the
platform, no matter what the program,
no matter what the language.
As far as the technical reasons for usage of UTF-8, UTF-16 or UTF-32 are concerned, the answer lies in the Technical Introduction to Unicode:
UTF-8 is popular for HTML and similar
protocols. UTF-8 is a way of
transforming all Unicode characters
into a variable length encoding of
bytes. It has the advantages that the
Unicode characters corresponding to
the familiar ASCII set have the same
byte values as ASCII, and that Unicode
characters transformed into UTF-8 can
be used with much existing software
without extensive software rewrites.
UTF-16 is popular in many environments
that need to balance efficient access
to characters with economical use of
storage. It is reasonably compact and
all the heavily used characters fit
into a single 16-bit code unit, while
all other characters are accessible
via pairs of 16-bit code units.
UTF-32 is popular where memory space
is no concern, but fixed width, single
code unit access to characters is
desired. Each Unicode character is
encoded in a single 32-bit code unit
when using UTF-32.
All three encoding forms need at most
4 bytes (or 32-bits) of data for each
character.
A general thumb rule is to use UTF-8 when the predominant languages supported by your application are spoken west of the Indus river, UTF-16 for the opposite (east of the Indus), and UTF-32 when you are concerned about utilizing characters with uniform storage.
By the way UTF-7 is not a Unicode standard and was designed primarily for use in mail applications.
I'm not after wikipedia links or incredible detail, just some brief information on how and why the huge variations in Unicode have come about and why you should care as a programmer.
First of all, there aren't "variations of unicode". Unicode is a standard, the standard, to assign code points (integers) to characters. UTF8 is the most popular way to represent those integers as bytes!
Why should you care as a programmer?
It's fun to understand this!
If you don't have basic understanding of encodings, you can easily produce buggy code.
Example: You receive a ByteArray myByteArray from somewhere and you know it represents characters. You then run myByteArray.toString() and you get the string Hello. Your program works! One day after shiping your code your german customer calls: "We have a problem, äöü are not displayed correctly!". You start debugging the code, feeling pretty lost without a basic understanding of encodings. However, with the understanding of encodings you know that the error probably was this: When running myByteArray.toString(), your program assumed the string was encoded with the default system encoding. But maybe it wasn't! Maybe it was UTF8 and your system is LATIN-SOMETHING and so you should have ran myByteArray.toString("UTF8") instead!
Resources:
I would NOT recommend Joel's article as suggested by others. It's a long article with a lot of irrelevant information. I read it a couple of years back and the essence of it didn't stick to my brain since there are so many unimportant details.
As already mentioned http://wiki.secondlife.com/wiki/Unicode_In_5_Minutes is a great place to go for to grasp the essence of unicode.
If you want to actually understand variable length encodings like UTF8 I'd recommend https://www.tsmean.com/articles/encoding/unicode-and-utf-8-tutorial-for-dummies/.

Smallest Unicode encodings for different languages?

What are the typical average bytes-per-character rates for different unicode encodings in different languages?
E.g. if I wanted the smallest number of bytes to encode some english text, then on average UTF-8 would be 1-byte per character and UTF-16 would be 2 so I'd pick UTF-8.
If I wanted some Korean text, then UTF-16 might average about 2 per character but UTF-8 might average about 3 (I don't know, I'm just making up some illustrative numbers here).
Which encodings yield the smallest storage requirements for different languages and character sets?
For any given language, your bytes-per-character rates are fairly constant, because most languages are allocated to contiguous code pages. The big exception is accented Latin characters, which are allocated higher in the code space than the unaccented forms. I don't have hard numbers for these.
For languages with contiguous character allocation, there is a table with detailed numbers for various languages on Wikipedia. In general, UTF-8 works well for most small character sets (except the ones allocated on high code pages), and UTF-16 is great for two-byte character sets.
If you need denser compression, you may also want to look at Unicode Technical Note 14, which compares some special-purpose encodings designed to reduce data size for a variety of languages. But these techniques aren't especially common.
If you're really worried about string/character size, have you thought about compressing them? That would automatically reduce the string to it's 'minimal' encoding. It's a layer of headache, especially if you want to do it in memory, and there are plenty of cases in which it wouldn't buy you anything, but encoding, especially, tend to be too general purpose to the level of compactness you seem to be aiming for.
UTF8 is best for any character-set where characters are primarily below U+0800. Otherwise UTF16.
That is, UTF8 for Latin, Greek, Cyrillic, Hebrew and Arabic and a few others. In langs other than Latin, characters will take up the same space as they would in UTF16, but you'll save bytes on punctuation and spacing.
In UTF-16, all the languages that matter (i.e. anything but klingons, elven and other strange things) will be encoded into 2 byte chars.
So the question is to find the languages that will have glyphs that will be 2-bytes or 1-byte sized characters long.
In the Wikipedia page on UTF-8:
http://en.wikipedia.org/wiki/Utf-8
We see that a character with an unicode index of 0x0800 or more will be at least 3 bytes long in UTF-8.
Knowing that, you just need to look at the code charts on unicode: http://www.unicode.org/charts/
for the languages that comply to your requirements.
:-)
Now, note that, depending on the framework you're using, the choice could well be not yours to do:
On Windows API, Unicode is handled by wchar_t chars, and is UTF-16
On Linux, Unicode is handled by char, and is UTF-8
Java is internally UTF-16, as are most compliant XML parsers
I was told (some tech meeting I was not interested on... sorry...) that UTF-8 was the encoding of choices on Databases.
So, pick up your poison...
:-)
I don't know exact figures, but for Japanese Shift_JIS averages fewer bytes per character than UTF-8, and so does EUC-JP, since they're optimised for Japanese text. However, they don't cover the same space of code points as Unicode, so they might not be correct answers to your question.
UTF-16 is better than UTF-8 for Japanese characters (2 bytes per char as opposed to 3), but worse than UTF-8 if there's a lot of 7-bit chars. It depends on the context - technical text is more likely to contain a lot of chars in the 1-byte range. A classical Japanese text might not have any.
Note that for transport, the encoding doesn't matter much if you can zip (gzip, bz2) the data. Code points for an alphabet in Unicode are close together, so you'd expect common prefixes with very short representations in the compressed data.
UTF-8 is usually good for representation in memory, since it's often more compact than UTF-32 or UTF-16, and is compatible with functions on char* which 'expect' ASCII or ISO-8859-1 NUL-terminated strings. It's useless if you need random access to characters by index, though.
If you don't care about non-BMP characters, UCS-2 is always 2 bytes per character and so offers random access. But that depends what you mean by 'Unicode'.
UTF-8
There is a very good article about unicode on JoelOnSoftware:
The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!)