wwwcojp / ja_sentence_segmenter
japanese sentence segmentation library for python
☆70Updated 2 years ago
Alternatives and similar repositories for ja_sentence_segmenter:
Users that are interested in ja_sentence_segmenter are comparing it to the libraries listed below
- おーぷん2ちゃんねるをクロールして作成した対話コーパス☆95Updated 3 years ago
- Japanese tokenizer for Transformers☆80Updated last year
- Japanese Realistic Textual Entailment Corpus (NLP 2020, LREC 2020)☆76Updated last year
- This repository has implementations of data augmentation for NLP for Japanese.☆64Updated 2 years ago
- Japanese synonym library☆53Updated 3 years ago
- ☆98Updated last year
- ☆36Updated 4 years ago
- Wikipediaを用いた日本語の固有表現抽出データセット☆138Updated last year
- A Python Module for JUMAN++/KNP☆91Updated 2 months ago
- 📝 A list of pre-trained BERT models for Japanese with word/subword tokenization + vocabulary construction algorithm information☆130Updated 2 years ago
- Kyoto University Web Document Leads Corpus☆82Updated last year
- An integrated Japanese analyzer based on foundation models☆131Updated last week
- A comparison tool of Japanese tokenizers☆121Updated 10 months ago
- Kyoto University Text Corpus☆62Updated last year
- 日本語T5モデル☆115Updated 7 months ago
- hottoSNS-BERT: 大規模SNSコーパスによる文分散表現モデル☆61Updated 5 months ago
- Japanese data from the Google UDT 2.0.☆28Updated 2 years ago
- Sentence boundary disambiguation tool for Japanese texts (日本語文境界判定器)☆190Updated last year
- ☆30Updated 7 years ago
- Repository for JSICK☆44Updated last year
- ☆21Updated 2 years ago
- Japanese text8 corpus for word embedding.☆110Updated 7 years ago
- 日本語WikipediaコーパスでBERTのPre-Trainedモデルを生成するためのリポジトリ☆115Updated 6 years ago
- chakki's Aspect-Based Sentiment Analysis dataset☆139Updated 3 years ago
- Python implementation of SWEM (Simple Word-Embedding-based Methods)☆29Updated 2 years ago
- Accommodation Search Dialog Corpus (宿泊施設探索対話コーパス)☆25Updated last year
- python版日本語意味役割付与システム(ASA)☆23Updated 2 years ago
- Japanese-BPEEncoder☆41Updated 3 years ago
- lists of text corpus and more (mainly Japanese)☆116Updated 9 months ago
- ☆51Updated 2 years ago