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Unpaired word. An unpaired word is one that, according to the usual rules of the language, would appear to have a related word but does not. [1] Such words usually have a prefix or suffix that would imply that there is an antonym, with the prefix or suffix being absent or opposite. If the prefix or suffix is negative, such as 'dis-' or -'less ...
Finding synonyms of words, and searching for the synonyms as well; Finding semantically related words (e.g. antonyms, meronyms, hyponyms, hypernyms) Finding all the various morphological forms of words by stemming each word in the search query; Fixing spelling errors and automatically searching for the corrected form or suggesting it in the results
Drawing up a comprehensive list of words in English is important as a reference when learning a language as it will show the equivalent words you need to learn in the other language to achieve fluency. A big list will constantly show you what words you don't know and what you need to work on and is useful for testing yourself.
e. The suffix -onym (from Ancient Greek: ὄνυμα, lit. 'name') is a bound morpheme, that is attached to the end of a root word, thus forming a new compound word that designates a particular class of names. In linguistic terminology, compound words that are formed with suffix -onym are most commonly used as designations for various onomastic ...
Extraction and analysis tool, handles corrupt and malicious PDF documents. PDFedit: GNU GPL: Yes Yes BSD Yes Software to view or edit the internal structures of PDF documents, and merge them. Pdftk: GNU GPL: Yes Yes Yes FreeBSD, Solaris Yes Command-line tools to edit and convert documents; supports filling of PDF forms with FDF/XFDF data.
A PDF file is organized using ASCII characters, except for certain elements that may have binary content. The file starts with a header containing a magic number (as a readable string) and the version of the format, for example %PDF-1.7. The format is a subset of a COS ("Carousel" Object Structure) format. [23]
v. t. e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect ...
The bag-of-words model (BoW) is a model of text which uses a representation of text that is based on an unordered collection (a "bag") of words. It is used in natural language processing and information retrieval (IR). It disregards word order (and thus most of syntax or grammar) but captures multiplicity. The bag-of-words model is commonly ...