Lightweight compilation of (C)LP to JavaScript

Morales, José F.; Haemmerlé, Rémy; Carro, Manuel; Hermenegildo, Manuel V.

doi:10.1017/s1471068412000336

“…Overall, it allows for a disruptive paradigm shift that gradually replaces the development of OS-dependent applications with web applications that can run in a variety of devices, some completely portable. [5] WinkNLP is a JavaScript library for natural language processing (NLP). Specifically designed to make NLP application development easier and faster, winkNLP is optimized for the right balance between performance and accuracy.…”

Section: Methodsmentioning

confidence: 99%

Making a Grammar Checker with Autocorrect Options Using NLP Tools

Bucea Manea Tonis,

Beteringhe

2023

Preprint

0

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Our natural language approach concerns syntactic analysis using a dedicated Javascript library - wink-nlp - and semantic analysis based on Prolog programming language, facilitated by another Javascript library - tau-prolog - that allows defining logical programs, declaring rules and checking for goals inside Javascript language. Firstly, our program splits the original text into sentences, than into tokens and identifies each part of the sentence, dynamically maps entities into Prolog rules, then check the spelling accordingly to the Definite Clause Grammar (DCG) by querying the pre-defined program for initial goals (the sentence itself). Basically, we let the parser infer its own rules from the syntactic point of view, then check the grammar from a semantic perspective against the DCG inside the same work flow or pipeline of steps.The provided article combine the usage of wink-nlp and tau-prolog packages for natural language processing (NLP) and understanding (NLU), demonstrates the need of a supplementary logic layer based on beta reductions and provide a method to convert lambda abstractions into arrow Javascript functions.

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“…Overall, it allows for a disruptive paradigm shift that gradually replaces the development of OS-dependent applications with web applications that can run in a variety of devices, some completely portable. [6] It should be noted that functional languages make no distinction between a fundamental parameter and a functor, moreover, most of the time (e.g. Javascript) the type is dynamically inferred.…”

Section: Methodsmentioning

confidence: 99%

Making a Grammar Checker with Autocorrect Options Using NLP Tools

Bucea Manea Tonis,

Beteringhe

2023

Preprint

0

View full text Add to dashboard Cite

Our natural language approach concerns syntactic analysis using a dedicated Javascript library - wink-nlp - and semantic analysis based on Prolog programming language, facilitated by another Javascript library - tau-prolog - that allows defining logical programs, declaring rules and checking for goals inside Javascript language. Firstly, our program splits the original text into sentences, than into tokens and identifies each part of the sentence, dynamically maps entities into Prolog rules, then check the spelling accordingly to the Definite Clause Grammar (DCG) by querying the pre-defined program for initial goals (the sentence itself). Basically, we let the parser infer its own rules from the syntactic point of view, then check the grammar from a semantic perspective against the DCG inside the same work flow or pipeline of steps.The provided article combine the usage of wink-nlp and tau-prolog packages for natural language processing (NLP) and understanding (NLU).

show abstract

“…Overall, it allows for a disruptive paradigm shift that gradually replaces the development of OS-dependent applications with web applications that can run in a variety of devices, some completely portable. [9] WinkNLP is a JavaScript library for natural language processing (NLP). Specifically designed to make NLP application development easier and faster, winkNLP is optimized for the right balance between performance and accuracy.…”

Section: Methodsmentioning

confidence: 99%

Making a Grammar Checker with Autocorrect Options Using NLP Tools

Bucea Manea Tonis,

Beteringhe

2023

Preprint

0

View full text Add to dashboard Cite

Our natural language approach concerns syntactic analysis using a dedicated Javascript library - wink-nlp - and semantic analysis based on Prolog programming language, facilitated by another Javascript library - tau-prolog - that allows defining logical programs, declaring rules and checking for goals inside Javascript language. Firstly, our program splits the original text into sentences, than into tokens and identifies each part of the sentence, dynamically maps entities into Prolog rules, then check the spelling accordingly to the Definite Clause Grammar (DCG) by querying the pre-defined program for initial goals (the sentence itself). Basically, we let the parser infer its own rules from the syntactic point of view, then check the grammar from a semantic perspective against the DCG inside the same work flow or pipeline of steps.The provided article combine the usage of wink-nlp and tau-prolog packages for natural language processing (NLP) and understanding (NLU), demonstrates the need of a supplementary logic layer based on beta reductions and provide a method to convert lambda abstractions into arrow Javascript functions.

show abstract

Lightweight compilation of (C)LP to JavaScript

Cited by 9 publications

References 25 publications

Making a Grammar Checker with Autocorrect Options Using NLP Tools

Making a Grammar Checker with Autocorrect Options Using NLP Tools

Making a Grammar Checker with Autocorrect Options Using NLP Tools

Making a Grammar Checker with Autocorrect Options Using NLP Tools

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