نتایج جستجو برای: grammatical error
تعداد نتایج: 266015 فیلتر نتایج به سال:
Computational Grammars can be adapted to detect ungrammatical sentences, effectively transforming them into error detection (or correction) systems. In this paper we provide a theoretical account of how adapt implemented HPSG grammars for grammatical detection. We discuss single input reconstructed in multiple ways and, turn, used specific, high-quality feedback language learners. then move on ...
AI has introduced a new reform direction for traditional education, such as automating Grammatical Error Correction (GEC) to reduce teachers’ workload and improve efficiency. However, current GEC models still have flaws because human language is very variable, the available labeled datasets are often too small learn everything automatically. One of key principles preserve correct parts input te...
writing as a productive skill requires practice in the basic sub-skills of vocabulary and grammar. in fact, grammar has been viewed as the core of programs in writing classes to help the students put the elements of sentence together and combine sentences of specific lengths to come up with an error-free work of art. conceptualizing l2 writing in this way introduces writing as a product and enc...
abstract the study aimed at investigating the efficacy of written corrective feedback (cf) in improving iranian efl learners’ grammatical accuracy. it compared the effects of focused and unfocused written cf on the learners’ grammatical accuracy. 75 efl students formed a one control and two experimental groups. the focused feedback group was provided with error correction in tenses. the unfocus...
Multi-word expressions (MWEs) have been recognized as important linguistic information and much research has been conducted especially on their extraction and interpretation. On the other hand, they have hardly been used in real application areas. While those who are learning English as a second language (ESL) use MWEs in their writings just like native speakers, MWEs haven’t been taken into co...
We describe the ’TILB’ team entry for the CONLL-2013 Shared Task. Our system consists of five memory-based classifiers that generate correction suggestions for center positions in small text windows of two words to the left and to the right. Trained on the Google Web 1T corpus, the first two classifiers determine the presence of a determiner or a preposition between all words in a text. The sec...
Abstract The study aimed at investigating the efficacy of written corrective feedback (CF) in improving Iranian EFL learners’ grammatical accuracy. It compared the effects of focused and unfocused written CF on the learners’ grammatical accuracy. 75 EFL students formed a one control and two experimental groups. The focused feedback group was provided with error correction in tenses. The unfocus...
Due to the lack of parallel data in current grammatical error correction (GEC) task, models based on sequence framework cannot be adequately trained obtain higher performance. We propose two synthesis methods which can control rate and ratio types synthetic data. The first approach is corrupt each word monolingual corpus with a fixed probability, including replacement, insertion deletion. Anoth...
Grammar has an important role to build a communication process, it is used make clear statement about the time of verb occurs. This research aimed find out grammatical errors in terms tense, active, and passive voice abstracts translation abtracts from Indonesian language English produced by Google Translate. Descriptive qualitative method was as this research. The population study twenty that ...
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