Grammarly
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Related Articles from SNS
ProWritingAid VS Grammarly: Which Grammar Checker is Better in (2022) ?
ProWritingAid VS Grammarly: When it comes to English grammar, there are two Big Players that everyone knows of: the Grammarly and ProWritingAid. but you are wondering which one to choose so here we write a detail article which will help you to choose the best one for you so Let's startWhat is Grammarly?Grammarly is a tool that checks for grammatical errors, spelling, and punctuation.it gives you comprehensive feedback on your writing. You can use this tool to proofread and edit...
Ginger VS Grammarly: Which Grammar Checker is Better in (2022) ?
Ginger VS Grammarly: When it comes to grammar checkers, Ginger and Grammarly are two of the most popular choices on the market. This article aims to highlight the specifics of each one so that you can make a more informed decision about the one you'll use. What is Grammarly?If you are a writer, you must have heard of Grammarly before.
Lexicons and grammars for language processing: industrial or handcrafted products?
Announce Type: new Abstract: During the recent years, the use of linguistic data for language processing increased progressively. Such data are now commonly called language resources. Most of the language resources used for this purpose are collections of texts as the Brown Corpus and the Penn Treebank, but electronic lexicons (WordNet, FrameNet, VerbNet, ComLex, Lexicon-Grammar...) and formal grammars (TAG...) developed recently.
A Grammar of Machine Learning Workflows: Rejecting Data Leakage at Call Time
arXiv:2603.10742v4 Announce Type: replace Abstract: Data leakage has been identified in 648 published papers across 30 scientific fields. The knowledge to prevent it has existed for over a decade; the problem persists because the tools do not enforce what the textbooks teach. This paper presents a grammar (eight typed primitives connected by a directed acyclic graph with four hard constraints) that makes the most damaging leakage types structurally unrepresentable within the grammar's scope.
Greedy Grammar Induction with Indirect Negative Evidence
arXiv:2312.15321v3 Announce Type: replace Abstract: This paper proposes a non-lexicalized grammar-induction procedure that separates two tests: recognition of the observed finite presentation, and rejection of short preterminal strings generated by a hypothesis but unsupported by the evidence. The central object is the rule-coverage bound \(\ell^*(G)\): the maximum, over rules in \(G\), of the length of the shortest preterminal string whose derivation uses that rule. This bound induces the...
Question Type, Cognitive Load, and CEFR Alignment: Evaluating LLM-Generated EFL Grammar Drill Exercises
Announce Type: new Abstract: This study evaluates the pedagogical viability of LLM-generated English as a Foreign Language (EFL) learning content. Utilising log data from Japanese junior high school students practicing on a grammar drilling application, we analysed how different question modalities impact student performance and whether theoretical localised CEFR difficulty tiers accurately predict empirical task difficulty. Results reveal a clear performance hierarchy: multiple-choice...
Question Type, Cognitive Load, and CEFR Alignment: Evaluating LLM-Generated EFL Grammar Drill Exercises
Announce Type: replace Abstract: This study evaluates the pedagogical viability of LLM-generated English as a Foreign Language (EFL) learning content. Utilising log data from Japanese junior high school students practicing on a grammar drilling application, we analysed how different question modalities impact student performance and whether theoretical localised CEFR difficulty tiers accurately predict empirical task difficulty. Results reveal a clear performance hierarchy: multiple-choice...
Discovering Thermodynamically Admissible Dissipation Potentials via Grammar-Based Symbolic Regression
Announce Type: cross Abstract: Constitutive laws for inelastic materials must satisfy strict thermodynamic admissibility requirements, yet current data-driven approaches sacrifice interpretability, even when formal guarantees are provided by physics-encoded architectures. We propose a symbolic regression framework for the data-driven discovery of dissipation potentials governing the evolution of internal variables within the Generalized Standard Materials (GSM) formalism. Starting from the...
Reasoning over Grammar: Can Synthetic Linguistic Reasoning Traces Enhance Low-Resource Machine Translation?
arXiv:2606.03782v1 Announce Type: new Abstract: Large language models (LLMs) offer a promising approach to machine translation (MT) for extremely low-resource languages by incorporating linguistic resources through in-context learning. However, LLMs often struggle to apply grammatical information effectively during translation. Inspired by recent progress in chain-of-thought reasoning, we investigate whether low-resource MT can benefit from structured intermediate steps of linguistic...
What's the Point? Spatial Grammar & Index Resolution for Sign Language Processing
arXiv:2606.08056v1 Announce Type: new Abstract: Sign language models are predominantly trained with gloss-sequence or text supervision, thereby under-modeling non-lexical and productive constructions. One comparatively tractable instance is spatial indexing: pointing gestures that assign discourse entities to spatial loci for subsequent co-reference, which lexicon-centric objectives largely fail to capture. We present a targeted evaluation of indexing in Sign Language Recognition, showing...