This document describes user requirements for text to speech of electronic documents containing ruby.
This document addresses concerns related to the text-to-speech functionality in HTML documents and EPUB publications that contain ruby annotations. While typographical aspects of ruby are covered by [[?JLREQ]], text-to-speech issues in this context have not received widespread recognition. The primary focus of this document is to outline user requirements.
In Section 2, we enumerate the various roles of ruby annotations in relation to their associated ruby bases. Section 3 provides an overview of potential options for using ruby bases and/or ruby annotations in text-to-speech, along with a discussion of the advantages and disadvantages of each option. Section 4 addresses markup issues related to the text-to-speech of ruby annotations. Section 5 introduces alternative mechanisms, such as SSML and PLS. Section 6 delves into the use of ruby annotations in translating HTML or EPUB document to braille.
The primary purpose of ruby annotations is to indicate how to pronounce CJK ideographic characters, a practice known as Furigana (see also JLReq terminology).
In contemporary usage, it is uncommon to attach ruby annotations to all CJK ideographic characters in a given document. Instead, it is more common to attach ruby annotations to only some of the CJK ideographic characters.
Ruby annotations find their application in various contexts, including trade books, newspapers, textbooks, teaching materials, and more, but are rarely utilized in business documents.
Even for simple CJK ideographic characters, ruby annotations may be added for some users who have particular difficulties with CJK ideographic characters (in electronic documents, it is easy to make ruby annotations visible or invisible based on user preferences). Such ruby annotations are called as furigana-added-for-enhanced-accessibility.
Some simple CJK ideographic characters have more than one possible reading and thus require ruby annotations for disambiguation. This is common for names of people and places. For example, 山崎 (a person's name) may be read as YAMAZAKI or YAMASAKI.
If ruby annotations are attached to only some of the CJK ideographic characters in a given document, the first occurrence of a CJK ideographic character or a word composed of such characters may have a ruby annotation, while subsequent occurrences typically do not. This practice assumes that users will learn the correct pronunciation from the first occurrence.
Especially in Japan, ruby annotations are also used to indicate something different from the reading of a CJK ideographic character. Such ruby annotations are referred to as Gikun. Gikun is commonly employed in light novels and comics.
Here are some examples of Gikun:
Even when Gikun is used for a compound word, it is unlikely to be repeated for later occurrences of the same word.
Moreover, different [=GIKUN=] may be added for subsequent occurrences of the same word.
For example, the next occurrence of 生命 may well be
Unusual names of people in Japan are typically written
using CJK ideographic characters but are pronounced quite
differently from the standard reading of these
characters. For instance,
Character names in comics, animations, and light novels can sometimes be extremely challenging to pronounce. Many of the character names in Demon Slayer (Kimetsu no Yaiba) fall into this category. For example, almost no one can read 不死川 玄弥 as SHINAZUGAWA GENNYA without assistance.
Names of places can also be difficult to read due to
historical reasons. For instance,
In many instances, the first occurrence of an unusual name is accompanied by a ruby annotation, but subsequent occurrences are not.
Interlinear notes resemble ruby annotations in appearance. A note in JLreq introduces interlinear notes as follows:
In the example shown in a figure referenced in the quoted note ("An example of a note in inter lines"), 徳川慶喜 (Tokugawa Yoshinobu) is accompanied by an interlinear note "1837-1913 江戸幕府最後の将軍" (1837-1913 the last shogun of the Edo shogunate). Other examples are: a modern kana phrase as an interlinear note for a historical kana phrase, a standard Japanese expression as an interlinear note for an expression in a dialect, a modern CJK ideographic character as an interlinear note for a traditional CJK ideographic character, an English text chunk as an interlinear note for a Japanese text chunk, and an official name as an interlinear note for an abbreviated name.
One could argue that HTML ruby elements should not be used for representing interlinear notes (see Kobayashi Sensei's mail in Japanese). However, it is not difficult to imagine that ruby elements are actually used for representing interlinear notes.
In language textbooks, ruby annotations are at times employed to indicate the pronunciation of foreign phrases written in hiragana or katakana. For example, a Chinese phrase 我去学校 may include ウオ チュー シュエシャオ as a ruby annotation.
A sequence of characters can be accompanied by two ruby annotations, typically consisting of [=Furigana=] and either [=GIKUN=] or an [=interlinear note=]. In an example provided in JLreq ("An example of ruby annotations attached to both sides of the base characters"), 東南 is accompanied by たつみ and とうなん. Here 東南 means 'southeast', with とうなん (TOUNAN) serving as [=Furigana=], and たつみ (TATSUMI) as [=GIKUN=], as 辰巳 (read as TATSUMI) indicates the same direction as 東南.
We offer two additional illustrative examples.
In this example, とうよう serves as [=Furigana=], while オリエント is used as [=Gikun=]
In this example, おだのぶなが serves as [=Furigana=], while "1534〜82" is presented as an [=interlinear note=].
There are three possible options: (1) both ruby bases and ruby annotations, (2) ruby annotations only, and (3) ruby bases only.
In this option, both ruby bases and ruby annotations are read aloud (double reading).
Many implementations (screen readers, in particular) support this option only.
For example,
The option of reading aloud both interferes with readers' understanding significantly.
彼の名前は
This sentence is intended to mean "His name is Dewanai". Double reading completely changes the meaning: it will be interpreted as "His name is NOT Dewanai".
それでは
This sentence is intened to mean "Nonsense!". Double reading completely changes the meaning: it will be interpreted as "You have to deal with it".
Consider this English sentence having a ruby annotation: "My name is
Double reading completely changes the meaning: it will be interpreted as "My name is not Knot".
Another example: "There is a road in Autin spelled
both
Double reading makes the road name read aloud twice, possibly differently.
Yet another example: "
Double reading makes this compound name read aloud twice, possibly differently.
The option of reading aloud both is sensible. It is common to read aloud ruby annotations first then ruby bases next, but it is sometimes better to read aloud ruby bases first and ruby annotations next [[?Transliteration Training Course]]).
The option of reading aloud both interferes with readers' understanding significantly.
The option of reading aloud both is sensible. It is necessary to read aloud ruby bases first then ruby annotations next.
For example,
The option of reading aloud both interferes with readers' understanding significantly.
In the example of 我去学校, even if ウオ チュー シュエシャオ is read aloud using the Japanese text-to-speech engine, the result will not be helpful to learners because of the incorrect pronunciation and four tones. Katakana pronunciation is also useless in languages such as English.
Since there are two ruby annotations, double-sided ruby leads to reading aloud three times. One of the ruby annotations is typically furigana, so the description in 3.1.1 applies. If the other ruby annotation is a Gikun, the description in 3.1.2 applies; if it is an interlinear note, the description in 3.1.4 applies.
In this option, ruby annotations are read aloud but ruby bases
are not. For example,
Even native Japanese speakers may easily assume, without thorough consideration, that the option of reading only ruby annotations aloud will provide reasonable results. However, this is not always the case.
Each hiragarana character represents a mora (a basic timing unit in phonology), which is typically a single vowel or a consonant followed by a single vowel. The same sequence of moras may mean different words depending on the pitch accent. For example, both 雨 (rain) and 飴 (candy) consists of the same moras: あ and め. However, if the Tokyo accent is used as a basis, the first mora in 雨 has a high pitch, and the second has a low pitch; 飴 has the opposite pitch accent.
Reading aloud ruby annotations rather than ruby bases often
leads to incorrect pitch accent. As an example, consider
A similar example is
In modern Japanese, there is basically only one way to read each hiragana character. But は and へ are exceptions. は is usually read aloud as /ha/ but is read aloud as /wa/ when it is used as a particle. Likewise, へ is usually read aloud as /he/ but is read aloud as /e/ when it is used as a particle.
Reading aloud ruby annotations rather than ruby bases implies that CJK ideographic characters in ruby bases will not be passed to the TTS engine, only hiragana characters in ruby annotations will be.
Without CJK ideographic characters, Japanese morphological analysis is likely to fail. For example, やがてはいしになる may be misinterepreted as やがては いしに なる ("I will eventually become a doctor") rather than やがて はいしに なる ("It will be abolished eventually"). Occurrences of は or へ as non-particles in ruby annotations may well be mistakenly interpreted as particles. Consequently, such occurrences of は and へ may well be mistakenly read aloud as /wa/ and /e/, respectively.
For example, consider
やがて
Here are some similar examples. All occurrences of は and へ in ruby annotations are likely to be mistakenly read aloud.
As described in 2.1, furigana as a ruby annotation may be attached to only the first occurrence of a CJK ideographic character or a word composed from such characters. Thus, there is a risk that the first occurrence and the others are read aloud differently. For example, consider 智子 as the name of a character in the novel. Tthere are several possible readings of this name, such as さとこ and ともこ. If さとこ as a ruby annotation is attached only to the first occurrence of the name, it will be read as さとこ and the other occurrences may be read as ともこ. The reader would then think that さとこ and ともこ are different characters.
The option of reading aloud ruby annotations only provides an understandable result but does not properly convey the author's intention.
The option of reading aloud ruby annotations only works correctly. However, if the first occurrence of a name is accompanied by a ruby annotation and the other occurrences are not, the first occurrence is read aloud differently from the others thus suggesting different persons or places.
For example,
The option of reading aloud ruby annotations only provides incomprehensible results often.
If "1837-1913 江戸幕府最後の将軍" is attached to 徳川慶喜 as a ruby annotation, it will be read aloud as 1837-1913 EDOBAKUFU SAIGO NO SHOGUN (1837-1913 the last shogun of the Edo shogunate), which is reasonable. But if only "1837-1913" is attached as a ruby annotation, the result is 1837-1913, which does not make any sense.
The option of reading aloud ruby annotations only interferes with readers' understanding significantly.
In the example of 我去学校 (ウオ チュー シュエシャオ), even if ウオ チュー シュエシャオ is read out in the Japanese style, it will not be helpful to learners because of the inaccurate pronunciation and the four tones (tones). Katakana pronunciation is also useless in languages such as English.
The option of reading aloud ruby annotations only makes two ruby annotations be read aloud while ignoring their ruby base. Since one of the two ruby annotations is typically furigana, the description in 3.2.1 applies. If the other ruby annotation is a Gikun, the description in 3.2.2 applies; if it is an interlinear note, the description in 3.2.4 applies.
In this option, ruby bases are read aloud but ruby annotations are not.
For example,
The option of reading aloud ruby bases only may or may not provide good results, depending on text-to-speech engines.
The following is a quote from [[?ACCESSIBLE_E_BOOKS]].
Furthermore, compound words made up from CJK ideographic characters in JIS X 0208 are sometimes read aloud incorrectly.
As the importance of accessibility is well recognized and text-to-speech engines are improved, more and more words will be read aloud correctly. However, there are some words, such as the aforementioned YAMAZAKI, that cannot be read aloud correctly by text-to-speech engines and even native Japanese speakers.
The option of reading aloud ruby bases only results in a perfectly understandable result. However, since gikun is ignored, the author's intent is not completely conveyed.
The option of reading ruby bases only leads to incorrect results. However, since every occurrence of a name is read aloud in the same way, users will not be confused.
Every occurrence
The option of reading ruby bases only provides a perfectly understandable result. However, since interline notes are ignored, the author's intention is not conveyed well.
The option of reading ruby bases only is most appropriate when natural languages are correctly identified and ruby bases are read aloud by a text-to-speech engine for that language. On the other hand, if the natural language cannot be identified or the text-to-speech engine for that language is not available, the result is not understandable.
The option of reading ruby bases only will ignore the two ruby annotations and read their ruby base only. When one of the two ruby annotations is furigana, the description in 3.3.1 applies. If the other is a gikun, the description in 3.3.2 applies, and if it is an interlinear note, the description in 3.3.4 applies.
Small kana characters ゃ, ゅ, ょ, and っ are too small when they appear in ruby annotations. For this reason, instead of these small characters, full-size kana characters や, ゆ, よ, and つ are used in ruby annotations.
However, since full-size kana characters are pronounced differently from small kana, ruby annotations containing full-size kana are read aloud differently.
CSS has a mechanism for overcoming this problem. Value 'full-size-kana' of the text-transform property as specified in CSS Text converts small kana characters to full-size kana. It is thus possible to use small kana in ruby annotations while rendering them using full-size kana. Text-to-speech engines can provide correct results even when ruby annotations are read aloud.
When attaching a ruby annotation to a compound word consisting of multiple CJK ideographic characters in an HTML or EPUB document, one way is to create a single HTML ruby
element for the entire word. However, in some cases, a separate ruby
element is created for each CJK ideographic character.
For example, to attach the ruby annotation せいめい to the word 生命 (meaning “life” in Japanese), the typical approach is to create a single ruby
element for this word. This ruby
element may have a single rt
element for “せいめい” or two rt
elements (one for “せい” and another for “めい”). However, it is not entirely uncommon to see two ruby
elements for this word: one for “生” and another for “命”.
Some people argue that creating a ruby element per compound word is better than creating a ruby element for each character in a compound word. They argue that it becomes easier for the text-to-speech engine to maintain a correspondence table between ruby bases and ruby annotations so that subsequent occurrences of the compound word without ruby can be pronounced correctly.
Meanwhile, others argue that there is a good reason to attach ruby
annotations to some, but not all, characters in a compound word.
For example, consider 佳人, where
佳 is taught in junior high schools while
人 is taught in the first grade of elementary
schools. Therefore, it makse sense to attach a ruby annotation to
佳 only (one ruby
element for
佳 and no ruby
element for
人). Similarly, it is reasonable to attach ruby
annotations to the first and third CJK idegraphic characters in
屯田兵 only but not to the second one (thus,
two ruby
elements).
Although furigana-added-for-enhanced-accessibility is necessary for those readers who have particular difficulties with CJK ideographic characters, it is unnecessary or slightly disturbing for others. If furigana-added-for-enhanced-accessibility is distinguishable from normal furigana, it can be made visible or invisible depending on user preferences. It is thus necessary to standardize a markup mechanism for indicating furigana-added-for-enhanced-accessibility.
In Section 3, we have seen that ruby annotations used as gikun or interline notes should be read aloud differently from the other cases. It is thus necessary to standardize a markup mechanism for clearly indicating ruby annotations used as gikun or interlinear note.
[[?SSML]] and [[?PRONUNCIATION-LEXICON]] offer alternatives for conveying phonemic and phonetic pronunciations of CJK ideographic characters to speech synthesis engines. These methods are not intended for visual presentations but can offer superior control over text-to-speech compared to using ruby annotations.
[[?SSML]] employs symbol collections (such as IPA and [[?JEITA_IT-4006]]) to represent the sounds of human languages. Phonemic and phonetic pronunciations are conveyed through sequences of these symbols.
[[?epub-32]] allows the use of SSML attributes within XHTML content documents in EPUB publications. In [[?epub-33]], these attributes are relocated to [[?epub-tts-10]]. Meanwhile, the W3C Accessible Platform Architectures Working Group is developing [[?spoken-html]], which outlines two potential methods for incorporating SSML attributes into HTML elements.
In Japan, SSML finds extensive application in digital textbooks, adopted by the biggest textbook publisher in Japan. However, it has been noted that attaching SSML attributes to CJK ideographic characters significantly raises authoring costs. In the case of DAISY textbooks in Japan, SSML is not used, as they contain recorded voice. Trade books in Japan do not typically employ SSML either.
PLS ([[PRONUNCIATION-LEXICON]]) enables the use of pronunciation lexicons, which map words to sequences of symbol collections such as those found in IPA or [[?JEITA_IT-4006]].
While SSML attributes are embedded within XHTML content documents in EPUB publications, PLS lexicons in EPUB publications are stored externally to and referenced by XHTML content documents (see Pronunciation Lexicons section in [[?epub-tts-10]]). As of the present, [[spoken-html]] does not offer a mechanism for associationg PLS lexicons with HTML documents.
PLS is a robust tool for rendering unusual names of people and places in text-to-speech applications. In particular, PLS allows every occurrence of a word or phrase to be consistently pronounced, regardless of the presence of ruby annotations. At the time of this writing, PLS is used by at least one digital textbook publisher in Japan.
The conversion of HTML documents and EPUB publications to braille is expected to become increasingly important in the near future.
Japanese braille lacks CJK ideographic characters and does not distinguish between hiragana and katakana. (Note: Han braille in Japan does include CJK ideographic characters, but it is not widely used.)
Braille exhibits some syntactical differences from the Japanese writing system. First, space characters are inserted as delimiters between words. Second, two Japanese particles, は and へ, are transcribed as they are pronounced, meaning は and へ are represented as if they were わ and え, respectively. Third, う pronounced as an elongated sound is represented using the long vowel character. For example, to tranlsate たいよう to braille, たいよう is first converted to たいよー and then translated to braille.
Natural language processing is required to handle these differences during the conversion to braille. However, unlike the case of text-to-speech, intonation is not relevant.
When converting HTML or EPUB content to braille, it is essential to select the correct reading for each CJK ideographic character. Choosing an incorrect reading can result in erroneous braille output. Similar to text-to-speech, ruby annotations provide valuable hints, while [[?SSML]] and PLS ([[?PRONUNCIATION-LEXICON]]) serve as effective alternatives.
For furigana and the transcription of unusual names of people and places, natural language processing is more effective when using ruby bases (typically containing CJK ideographic characters) as the foundation. In contrast, the correct readings are chosen when using ruby annotations as the basis. It is also possible to combine both ruby bases and ruby annotations.