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WinMerge is a free software tool for data comparison and merging of text-like files. It is useful for determining what has changed between versions, and then merging changes between versions. WinMerge runs on Microsoft Windows.
In terms of a merge-base theory of language acquisition, complements and specifiers are simply notations for first-merge (read as "complement-of" [head-complement]), and later second-merge (read as "specifier-of" [specifier-head]), with merge always forming to a head. First-merge establishes only a set {a, b} and is not an ordered pair.
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In linguistics, a blend—also known as a blend word, lexical blend, or portmanteau [a] —is a word formed by combining the meanings, and parts of the sounds, of two or more words together. [2] [3] [4] English examples include smog, coined by blending smoke and fog, [3] [5] and motel, from motor and hotel. [6] A blend is similar to a ...
The original PC Tools package was first developed as a suite of utilities for DOS, released for retail in 1985 for $39.95. [1]With the introduction of version 4.0, the name was changed to PC Tools Deluxe, and the primary interface became a colorful graphical shell (previously the shell resembled PC BOSS and was monochrome.)
The edges between sentences are based on some form of semantic similarity or content overlap. While LexRank uses cosine similarity of TF-IDF vectors, TextRank uses a very similar measure based on the number of words two sentences have in common (normalized by the sentences' lengths). The LexRank paper explored using unweighted edges after ...
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
Given two sentences and of length 4 and 3 respectively, the autoencoders would produce 7 and 5 vector representations including the initial word embeddings. The euclidean distance is then taken between every combination of vectors in W 1 {\displaystyle W_{1}} and W 2 {\displaystyle W_{2}} to produce a similarity matrix S ∈ R 7 × 5 ...