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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions

    Researchers have developed CAIT, a new open-source toolkit designed to analyze the syntactic structure of child-adult interactions within the CHILDES dataset. This toolkit includes a state-of-the-art dependency parser trained specifically on the UD-English-CHILDES treebank, which demonstrates superior accuracy compared to general-purpose English parsers like SpaCy and Stanza. CAIT also features a Part-of-Speech tagger and an utterance-level construction tagger, enabling more robust and reproducible research in language acquisition. AI

    CAIT: A Syntactic Parsing Toolkit for Child-Adult InTeractions

    IMPACT Enables more accurate and reproducible analysis of language acquisition data, potentially accelerating research in developmental linguistics.

  2. A Reproducible Universal Dependencies-Style Pipeline for Katharevousa Greek Parliamentary Text

    Researchers have developed a new, reproducible pipeline for creating a Universal Dependencies-style parsing resource for Katharevousa Greek parliamentary text. This workflow addresses the limitations of current NLP tools for historical Greek documents, integrating OCR reconstruction, LLM-assisted annotation, and automated validation. The resulting dataset and methodology aim to make historical parliamentary archives more accessible for NLP research. AI

    IMPACT Enables better NLP analysis of historical Greek parliamentary documents, potentially unlocking new research in linguistics and history.