Language Media Processing Lab, Kyoto University

Language Media Processing Lab, Kyoto University's repositories

jumanpp

Juman++ (a Morphological Analyzer Toolkit)

Language:C++Apache-2.0399 29 111

kwja

An integrated Japanese analyzer based on foundation models

Language:PythonMIT137 4 61

pyknp

A Python Module for JUMAN++/KNP

Language:PythonNOASSERTION91 10 32

KWDLC

Kyoto University Web Document Leads Corpus

Language:Python83 6 35

KyotoCorpus

Kyoto University Text Corpus

Language:Perl66 5 5

rhoknp

Yet another Python binding for Juman++/KNP/KWJA

Language:PythonMIT34 4 53

ja-vicuna-qa-benchmark

Language:PythonApache-2.033 2 21

knp

A Japanese Parser

Language:CNOASSERTION32 6 7

AnnotatedFKCCorpus

Annotated Fuman Kaitori Center Corpus

Language:Python18 70

text-cleaning

A powerful text cleaner for Japanese web texts

Language:PythonMIT1204

WikipediaAnnotatedCorpus

Language:Python11 50

kyoto-reader

A processor for KyotoCorpus, KWDLC, and AnnotatedFKCCorpus

Language:PythonMIT10 5 2

KyotoCorpusAnnotationTool

An annotation tool for the Kyoto University Corpus

Language:JavaScript7 6 1

KUCI

Kyoto University Commonsense Inference dataset (KUCI)

CC-BY-SA-4.05 30

latent_language_of_multilingual_model

Partial code for the arXiv paper 'Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?'

Language:Jupyter Notebook500

ProgLoRA

The official implementation of paper: Progressive LoRA for Multimodal Continual Instruction Tuning. (ACL 2025 Findings)

Language:PythonApache-2.0400

CNER_WT-WF

Language:Python3 10

dockerfile-jumanpp-knp

Dockerfiles for Juman++, KNP, and KWJA

Language:DockerfileMIT3 4 1

speechBSD

An extension of the BSD corpus with audio and speaker attribute information

NOASSERTION3 40

video-helpful-MMT

Language:Python3 6 1

RecomMind

Movie recommendation dialogue dataset with first- and second-person annotations of the seeker’s internal state at the entity level.

CC-BY-SA-4.01 30

sdg4idrr

Synthetic Data Generation for Implicit Discourse Relation Recognition (SDG4IDRR)

Language:Python1 30

Abstractive-Multi-Video-Captioning

The implementation of the paper "Abstractive Multi-Video Captioning: Benchmark Dataset Construction and Extensive Evaluation."

Language:Python040

AbstrActs

Benchmark dataset for abstractive multi-video captioning.

040

ARKitSceneRefer

ARKitSceneRefer: Text-based Localization of Small Objects in Diverse Real-World 3D Indoor Scenes (EMNLP 2023 Findings)

GPL-3.0030

Evaluate-Alignment-HVSB

Source code of the paper: Do LLMs Align Human Values Regarding Social Biases? Judging and Explaining Social Biases with LLMs

Language:Python000

J-CaseMap

000

language-specific-dimensions

000

SpeechIQ

Language:Python000

SRA

Language:Python010