Deciphering Foreign Language by Combining Language Models and Context Vectors
Code (0)
등록된 구현이 없습니다.
Tasks
Language ModellingMachine TranslationSimilar Papers 제목 키워드 기반
Deciphering antibody affinity maturation with language models and weakly supervised learning
In response to pathogens, the adaptive immune system generates specific antibodies that bind and neutralize foreign antigens. Understanding the composition of an individual's immune repertoire can provide insights into t…
Language ModelingLanguage ModellingMultiple Instance LearningWeakly-supervised LearningSpelling-Aware Construction of Macaronic Texts for Teaching Foreign-Language Vocabulary
We present a machine foreign-language teacher that modifies text in a student{'}s native language (L1) by replacing some word tokens with glosses in a foreign language (L2), in such a way that the student can acquire L2 …
Language ModelingLanguage ModellingBootstrapping Multilingual AMR with Contextual Word Alignments
We develop high performance multilingualAbstract Meaning Representation (AMR) sys-tems by projecting English AMR annotationsto other languages with weak supervision. Weachieve this goal by bootstrapping transformer-based…
Multilingual Word EmbeddingsWord AlignmentWord EmbeddingsXLM-RParaphrases as Foreign Languages in Multilingual Neural Machine Translation
Paraphrases, the rewordings of the same semantic meaning, are useful for improving generalization and translation. However, prior works only explore paraphrases at the word or phrase level, not at the sentence or corpus …
Machine TranslationNMTSentenceTAG+2CPG-EVAL: A Multi-Tiered Benchmark for Evaluating the Chinese Pedagogical Grammar Competence of Large Language Models
Purpose: The rapid emergence of large language models (LLMs) such as ChatGPT has significantly impacted foreign language education, yet their pedagogical grammar competence remains under-assessed. This paper introduces C…