نتایج جستجو برای: learner initiative
تعداد نتایج: 59161 فیلتر نتایج به سال:
In many language learning scenarios, it is important to anticipate spelling errors. We model the spelling difficulty of words with new features that capture phonetic phenomena and are based on psycholinguistic findings. To train our model, we extract more than 140,000 spelling errors from three learner corpora covering English, German and Italian essays. The evaluation shows that our model pred...
This study attempted to investigate the relationship among learning strategy, autonomy and language proficiency of Chinese university EFL students. To achieve this objective, purposive sampling and cluster sampling methods were used to select 422 non-English major students as participants in three universities, Henan province, China. Oxford’s (1990) Strategy Inventory for Language Learning (SIL...
This paper analyses the requirements for the sensor and the semantic layer with regard to the scenario in which the prototype is applied. In particular, the requirements address one problem with open online communities: community members can switch communication services and channels while they participate and contribute to the community. This raises special challenges to learner monitoring. Th...
This paper describes WriteAhead, a resource-rich, Interactive Writing Environment that provides L2 learners with writing prompts, as well as ”get it right” advice, to helps them write fluently and accurately. The method involves automatically analyzing reference and learner corpora, extracting grammar patterns with example phrases, and computing dubious, overused patterns. At run-time, as the u...
Abstract D emonetization initiative by Govt. of India in Nov-Dec, 2016 aimed at addressing the issues like black money, hoarding and overall cleansing the monetary system. This paper in this regard attempts to empirically examine the impact of demonetization drive upon the monetary system by taking data of 180 days prior to Nov, 2016. The cointegration results exhibit show a long run ...
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