![]() ![]() This is the default, used by all CoreNLP version 4 models. In particular parenthesis tokens tokenize just as themselves (“(“ and “)”) rather than being weirdly escaped. It is not what is used by CoreNLP version 4 models.) ud Tokenize in the way expected by Universal Dependencies (ud) corpora. ![]() (This escaping used to be the default in CoreNLP versions 3 and below. This is a macro flag that sets or clears all the options below. ptb3Escaping Enable all traditional PTB3 token transforms (like parentheses becoming -LRB-, -RRB-). ![]() You must use this option for strictly line-oriented processing: Having this true is necessary to stop the tokenizer blocking and waiting for input after a newline is seen when the previous line ends with an abbreviation. The latter property stops the tokenizer getting extra information from the next line to help decide whether a period after an acronym should be treated as an end-of-sentence period or not. This has the following consequences: (i) A token (currently only SGML tokens) cannot span multiple lines of the original input, and (ii) The tokenizer will not examine/wait for input from the next line before deciding tokenization decisions on this line. tokenizePerLine Run the tokenizer separately on each line of a file. (Like the Java String class, begin and end are done so end - begin gives the token length.) tokenizeNLs Whether end-of-lines should become tokens (or just be treated as part of whitespace). The keys used are: TextAnnotation for the tokenized form, OriginalTextAnnotation for the original string (before any normalization), BeforeAnnotation and AfterAnnotation for the whitespace before and after a token, and perhaps CharacterOffsetBeginAnnotation and CharacterOffsetEndAnnotation to record token begin/after end character offsets, if they were specified to be recorded in the TokenFactory construction. Valid only if the LexedTokenFactory used is an instance of CoreLabelTokenFactory (but this is now the default for all CoreNLP tokenizers). Option name Description invertible Store enough information about the original form of the token and the whitespace around it that a list of tokens can be faithfully converted back to the original String. ![]() The tokenize.options option accepts a wide variety of settings for the PTBTokenizer. As an extreme example, the female zombie emoji □♀️ is 1 grapheme but 4 (!) codepoints, 5 char’s, and 13 bytes in UTF-8 encoding). Note: even in this case certain Unicode characters including both certain accented letters and complex emoji that are a single grapheme still get treated as multiple codepoints. Giving this option the value true adds CodepointOffsetBeginAnnotation and CodepointOffsetEndAnnotation to tokens, which provide correct text offsets in terms of codepoints, suitable for use in languages using codepoint indexing, such as Python. Characters outside the basic multilingual pane, such as emoji □, become two Java char’s but are a single codepoint. This is not what you want when using CoreNLP results in Python or certain other languages where counting is done (better!) in terms of Unicode codepoints. Option name Type Default Description tokenize.language Enum Annotation) are in terms of 16-bit char’s, with Unicode characters outside the basic multilingual prime encoded as two chars via a surrogate pair. ![]()
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