Language transfer, the preferential second language behavior caused by similarities to the speaker’s native language, requires considerable expertise to be detected by humans alone. Our goal in this work is to replace expert intervention by data-driven methods wherever possible. We define a computational methodology that produces a concise list of lexicalized syntactic patterns that are control...

in an effort to expand the disciplinary discussions on transfer in l2 writing and because most studies have focused on transfer as reuse and not as an adequate adaptation of writing knowledge in new contexts, the present study as the first of its kind aimed to explore the issue of adaptive transfer in an english for general academic purposes (egap) writing course. the study thus focused on type...

Purpose: The purpose of this study is to address the limited use transfer learning techniques in radio frequency machine and propose a customized taxonomy for applications. aim enable performance gains, improved generalization, cost-effective training data solutions specific domain.
 Methodology: research design employed involves comprehensive review existing literature on learning. resear...

We present a MT system that applies graph unification in transfer from English to Finnish. The work described below is an outgrowth of a multilingual MT project initiated by the IBM in 1987 with the aim of studying multilingual translation using a common English language parser. The transfer system presented here is independent of the parsing and generation modules. Any source language parser c...

In an effort to expand the disciplinary discussions on transfer in L2 writing and because most studies have focused on transfer as reuse and not as an adequate adaptation of writing knowledge in new contexts, the present study as the first of its kind aimed to explore the issue of adaptive transfer in an English for General Academic Purposes (EGAP) writing course. The study thus focused on type...

Training a POS tagging model with crosslingual transfer learning usually requires linguistic knowledge and resources about the relation between the source language and the target language. In this paper, we introduce a cross-lingual transfer learning model for POS tagging without ancillary resources such as parallel corpora. The proposed cross-lingual model utilizes a common BLSTM that enables ...

Applying large scale pre-trained image-language model to video-language tasks has recently become a trend, which brings two challenges. One is how effectively transfer knowledge from static images dynamic videos, and the other deal with prohibitive cost of fully fine-tuning due growing size. Existing works that attempt realize parameter-efficient learning can be categorized into types: 1) appen...