Papers with Code 아카이브
Language Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Language identification is the task of determining the language of a text.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lucy3/whos_filtered
공식 코드https://github.com/magarw/limit
공식 코드https://github.com/mainlp/barner
공식 코드Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data
https://github.com/mawdoo3/Multi-dialect-Arabic-BERT
공식 코드Multi-Dialect Arabic BERT for Country-Level Dialect Identification
https://github.com/mbanon/fastspell
공식 코드https://github.com/mbzuai-nlp/artst
공식 코드https://github.com/mdoumbouya/nicolingua
공식 코드https://github.com/merlion-challenge/merlion-ccs-2023
공식 코드https://github.com/michalspiegel/imgtb
공식 코드KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
https://github.com/mihaelagaman/frecdo
공식 코드FreCDo: A Large Corpus for French Cross-Domain Dialect Identification
https://github.com/mohamedgabr96/NeuralDialectDetector
공식 코드Adapting MARBERT for Improved Arabic Dialect Identification: Submission to the NADI 2021 Shared Task
https://github.com/mtanti/mbert-language-specificity
공식 코드On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning
https://github.com/murali1996/eacl2021-OffensEval-Dravidian
공식 코드https://github.com/nguyen-dv/ViMD_Dataset
공식 코드Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges
https://github.com/nii-yamagishilab/AfriHuBERT
공식 코드AfriHuBERT: A self-supervised speech representation model for African languages
https://github.com/nii-yamagishilab/ZMM-TTS
공식 코드An Initial Investigation of Language Adaptation for TTS Systems under Low-resource Scenarios
https://github.com/praekelt/feersum-lid-shared-task
공식 코드Improved Text Language Identification for the South African Languages
https://github.com/prakash-aryan/qwen-arabic-project
공식 코드Resource-Aware Arabic LLM Creation: Model Adaptation, Integration, and Multi-Domain Testing
https://github.com/pytorch/fairseq
공식 코드XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
https://github.com/qcri/dialectID
공식 코드https://github.com/racai-ai/romanian-distilbert
공식 코드Distilling the Knowledge of Romanian BERTs Using Multiple Teachers
https://github.com/raduionescu/MOROCO-Tweets
공식 코드https://github.com/rootroo-ltd/finnishdialectidentification
공식 코드Finnish Dialect Identification: The Effect of Audio and Text
https://github.com/ruanvdmerwe/triplet-entropy-loss
공식 코드Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems
https://github.com/salt-nlp/dada
공식 코드DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules
https://github.com/seanbenhur/tanglish-offensive-language-identification
공식 코드Pretrained Transformers for Offensive Language Identification in Tanglish
https://github.com/sergeykramp/mthesis-bigbird-embeddings
공식 코드https://github.com/shashikg/lid-code-switching
공식 코드Spoken Language Identification System for English-Mandarin Code-Switching Child-Directed Speech
https://github.com/sinaahmadi/cordi
공식 코드Language and Speech Technology for Central Kurdish Varieties
https://github.com/sinaahmadi/persoarabiclid
공식 코드PALI: A Language Identification Benchmark for Perso-Arabic Scripts
https://github.com/sinaahmadi/scriptnormalization
공식 코드https://github.com/sinhala-nlp/sold
공식 코드https://github.com/skakouros/sami_dialects
공식 코드North Sámi Dialect Identification with Self-supervised Speech Models
https://github.com/skit-ai/map-mix
공식 코드https://github.com/slone-nlp/myv-nmt
공식 코드The first neural machine translation system for the Erzya language
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.