태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Native Language Identification (NLI) is the task of determining an author's native language (L1) based only on their writings in a second language (L2).
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
A large, crowd-sourced dataset for the Native Language Identification (NLI) task. People learning English as a second language write practice Notebooks which can be used to classify the author's native language using word choice, spelling mistakes and other language features. The dataset has: - 11 languages (Arabic, Chinese, French, German, Hindi, Italian, Japanese, Korean, Spanish, Telagu, Turkish) - 111,917 documents
The first Portuguese dataset compiled for Native Language Identification (NLI), the task of identifying an author's first language based on their second language writing. The dataset includes 1,868 student essays written by learners of European Portuguese, native speakers of the following L1s: Chinese, English, Spanish, German, Russian, French, Japanese, Italian, Dutch, Tetum, Arabic, Polish, Korean, Romanian, and Swedish. NLI-PT includes the original student text and four different types of annotation: POS, fine-grained POS, constituency parses, and dependency parses. NLI-PT can be used not only in NLI but also in research on several topics in the field of Second Language Acquisition and educational NLP. Source: A Portuguese Native Language Identification Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.