https://github.com/clips/dutchembeddings
공식 코드Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource
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/comanchegenerate/comanchesynthetic
공식 코드Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language
https://github.com/deezer/SingingLanguageIdentification
공식 코드Singing Language Identification using a Deep Phonotactic Approach
https://github.com/dsfsi/za-lid
공식 코드From N-grams to Pre-trained Multilingual Models For Language Identification
https://github.com/eaoltu/hyperseed
공식 코드Hyperseed: Unsupervised Learning with Vector Symbolic Architectures
https://github.com/ecrows/l2-reddit-experiment
공식 코드Towards Ethical Content-Based Detection of Online Influence Campaigns
https://github.com/edoost/offenseval
공식 코드https://github.com/espnet/espnet
공식 코드https://github.com/facebookresearch/fairseq
공식 코드https://github.com/fdschmidt93/fleurs-slu
공식 코드Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language Understanding
https://github.com/funaudiollm/cosyvoice
공식 코드CosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
https://github.com/gair-nlp/mathpile
공식 코드https://github.com/google-research-datasets/TF-IDF-IIF-top100-wordlists
공식 코드Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus
https://github.com/google/speaker-id/tree/master/lingvo
공식 코드Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech
https://github.com/hanyu-meng/adapting-leaf
공식 코드https://github.com/hlt-mt/speech-massive
공식 코드Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond
https://github.com/hwijeen/OffensEval2020
공식 코드NLPDove at SemEval-2020 Task 12: Improving Offensive Language Detection with Cross-lingual Transfer
https://github.com/irshadbhat/nsdp-cs
공식 코드Universal Dependency Parsing for Hindi-English Code-switching
https://github.com/isitnavajo/NavajoDetector
공식 코드Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages
https://github.com/isspek/cross_lingual_checkworthy_detection
공식 코드https://github.com/jeonghun0716/visual-speech-recognition-for-low-resource-languages
공식 코드https://github.com/jlibovicky/assess-multilingual-bert
공식 코드On the Language Neutrality of Pre-trained Multilingual Representations
https://github.com/jonathandunn/geolid
공식 코드https://github.com/jonathandunn/pacific_codeswitch
공식 코드https://github.com/joshua-otten/script-agnostic-lang-id
공식 코드https://github.com/karishmaslaud/OffensEval
공식 코드problemConquero at SemEval-2020 Task 12: Transformer and Soft label-based approaches
https://github.com/kinit-sk/semeval-2024-task-8-machine-text-detection
공식 코드KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
https://github.com/kushal2000/Dravidian-Offensive-Language-Identification
공식 코드indicnlp@kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Languages
https://github.com/l3cube-pune/MarathiNLP
공식 코드My Boli: Code-mixed Marathi-English Corpora, Pretrained Language Models and Evaluation Benchmarks
https://github.com/l3cube-pune/code-mixed-nlp
공식 코드L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models
https://github.com/languagetechnologylab/dsl-tl
공식 코드https://github.com/languagetechnologylab/offmix-3l
공식 코드OffMix-3L: A Novel Code-Mixed Dataset in Bangla-English-Hindi for Offensive Language Identification
https://github.com/laurieburchell/cs-lid-harder-than-you-think
공식 코드Code-Switched Language Identification is Harder Than You Think
https://github.com/laurieburchell/open-lid-dataset
공식 코드https://github.com/lhx94as/pho-lid
공식 코드https://github.com/lrank/Domain_Robust_Text_Representation
공식 코드What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.