نتایج جستجو برای: multiple discourse completion test

تعداد نتایج: 1587108  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده ادبیات و علوم انسانی دکتر علی شریعتی 1392

the present research was conducted to explore the effect of employing two language teaching approaches, i.e. schema-based instruction (sbi) and translation-based instruction (tbi), on vocabulary knowledge, structure and reading comprehension ability of forty one female students learning english in grade one senior high school in rivash, kuhsorkh, iran. while sbi focuses on schemata, i.e. words ...

2015
Attapol Rutherford Nianwen Xue

Discourse relation classification is an important component for automatic discourse parsing and natural language understanding. The performance bottleneck of a discourse parser comes from implicit discourse relations, whose discourse connectives are not overtly present. Explicit discourse connectives can potentially be exploited to collect more training data to collect more data and boost the p...

1995
Diane J. Litman Rebecca J. Passonneau

We predict discourse segment boundaries from linguistic features of utterances, using a corpus of spoken narratives as data. We present two methods for developing seg-mentation algorithms from training data: hand tuning and machine learning. When multiple types of features are used, results approach human performance on an independent test set (both methods), and using cross-validation (machine...

2015
Jianxiang Wang Man Lan

The CoNLL-2015 shared task focuses on shallow discourse parsing, which takes a piece of newswire text as input and returns the discourse relations in a PDTB style. In this paper, we describe our discourse parser that participated in the shared task. We use 9 components to construct the whole parser to identify discourse connectives, label arguments and classify the sense of Explicit or Non-Expl...

1995
Diane J. Litman Rebecca J. Passonneau

We predict discourse segment boundaries from linguistic features of utterances, using a corpus of spoken narratives as data. We present two methods for developing segmentation algorithms from training data: hand tuning and machine learning. When multiple types of features are used, results approach human performance on an independent test set (both methods), and using cross-validation (machine ...

2015
María J. Soler Carmen Dasí Juan C. Ruiz

This study investigates priming in an implicit word stem completion (WSC) task by analyzing the effect of linguistic stimuli characteristics on said task. A total of 305 participants performed a WSC task in two phases (study and test). The test phase included 63 unique-solution stems and 63 multiple-solution stems. Analysis revealed that priming (mean = 0.22) was stronger in the case of multipl...

Journal: :Govarî zankoy Helebce 2022

Speech acts composes a big part of language; it is one the bases pragmatics, can be defined as use language to make things happen in world. The aim study investigate strategies speech act criticism Kurdish. One hundred twenty undergraduate native Kurdish speaking students were selected sample for study. different majors, sexes and social classes. Discourse Completion Test (DCT) approach adopted...

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