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Cloze test is often used as an evaluation task in natural language processing (NLP) to assess the performance of the trained language models. [10] The tasks have a few different variants, like predicting the answer for the blank with [11] and without [12] providing the right options, predicting the ending sentence of a story or passage, [13] etc.
LEPOR [4] is designed with the factors of enhanced length penalty, precision, n-gram word order penalty, and recall.The enhanced length penalty ensures that the hypothesis translation, which is usually translated by machine translation systems, is punished if it is longer or shorter than the reference translation.
This is a list of notable lexer generators and parser generators for various language classes. ... Hime Parser Generator [17] LALR(1), GLR: BNF dialect: C#, Java, Rust:
JetBrains MPS (Meta Programming System) is a language workbench developed by JetBrains.MPS is a tool to design domain-specific languages (DSL). It uses projectional editing which allows users to overcome the limits of language parsers, and build DSL editors, such as ones with tables and diagrams.
Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...
[1] [2] It is commonly used with the yacc parser generator and is the standard lexical analyzer generator on many Unix and Unix-like systems. An equivalent tool is specified as part of the POSIX standard. [3] Lex reads an input stream specifying the lexical analyzer and writes source code which implements the lexical analyzer in the C ...
In computer-based language recognition, ANTLR (pronounced antler), or ANother Tool for Language Recognition, is a parser generator that uses a LL(*) algorithm for parsing. ANTLR is the successor to the Purdue Compiler Construction Tool Set ( PCCTS ), first developed in 1989, and is under active development.
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.