![]() ![]() In the most common split of this corpus, sections from 0 to 18 are used for training. The task consists of annotating each word with its Part-of-Speech tag. Because the ruby annotation may not contain pronunciation information, or if it does, will usually present it using kana, bopomofo, or a form of pinyin, some special treatment is necessary. The English Penn Treebank (PTB) corpus, and in particular the section of the corpus corresponding to the articles of Wall Street Journal (WSJ), is one of the most known and used corpus for the evaluation of models for sequence labelling. If ruby information is present, however, and it is known to contain pronunciation information, it may be possible for a speech processor to extract some pronunciation information from that markup. To do this first we have to use tokenization concept (Tokenization is the. see ).Īlthough ruby annotation can indicate pronunciation, the i18n WG does not see this as a natural fit for general text-to-speech semantics, and recommends against ruby being considered as the format to use for expressing pronunciation information. A part-of-speech tagger, or POS-tagger, processes a sequence of words and attaches a part of speech tag to each word. ![]() ![]() However, not all ruby annotations are associated with pronunciation (eg. This seems like a natural fit for text-to-speech.Īs mentioned in the text, ruby markup is primarily a way of visually aligning annotations with base text, and the standard usage is for both annotation and base to be presented to the user and to be present in element content. Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss. ![]()
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