[PDF] Top 20 Complex Word Identification Based on Frequency in a Learner Corpus
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Complex Word Identification Based on Frequency in a Learner Corpus
... Tables 5 and 6 present the official evaluation re- sults. In Table 5, systems are ranked by their macro-averaged F1-score for the binary classifi- cation task. TMU systems ranked first in Span- ish and German, and second ... See full document
5
Building a learner corpus for Russian
... Designing learner corpora has become a rapidly de- veloping branch of corpus linguistics, which is ac- counted for by obvious reasons — both research and ...language, learner corpora open up new ... See full document
10
A Learner Corpus-Based Study on Verb Errors of Turkish EFL Learners
... As learner corpora have presently become readily accessible, it is practicable to examine interlanguage errors and carry out error analysis (EA) on learner-generated ...a learner corpus enable ... See full document
9
Deep Learning Architecture for Complex Word Identification
... on complex word identification (described in detail in Paetzold and Specia, 2016a) was the first evaluation cam- paign which provided a gold-standard dataset as well as an extensive comparison of ... See full document
7
Complex Word Identification as a Sequence Labelling Task
... a frequency-based threshold (Zeng et ...of complex words due to its in- ability to find simpler alternatives, and Shard- low (2013) argues that a simplify-all approach might result in meaning ... See full document
6
CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble Based Voting
... CW corpus of Shardlow (2013b) is based on the edit histories in Simple Wikipedia, and in- cludes only the sentences where a single word is ...this corpus are annotated as complex by at ... See full document
11
A Report on the Complex Word Identification Shared Task 2018
... backend. Word embeddings are employed in two input layers, first to replace tar- get words with the appropriate embeddings and second to represent the entire sentences as an in- put sequence which is considered ... See full document
13
Analysing lexical richness in French learner language: What frequency lists and teacher judgements can tell us about basic and advanced words
... our corpus which are NOL – apart from the many interjections mentioned in section 4 – are nouns such as chapeau ‘hat’ and voleur ‘thief’, an adjective such as gentil ‘nice’ and verbs such as nager ‘to swim’ and ... See full document
15
Graph based Filtering of Out of Vocabulary Words for Encoder Decoder Models
... training corpus in de- scending order of frequency, and low-frequency words are replaced with an unknown word token ...naive frequency-based OOV replace- ment may lead to loss of ... See full document
8
Automatic Identification of Word Translations from Unrelated English and German Corpora
... Based on the word co-occurrences in the English corpus, an association matrix was computed whose rows were all word types of the corpus with a frequency of 100 or higher 3 and whose colu[r] ... See full document
8
An Automated Complex Word Identification from Text: A Survey
... Threshold based CWI and Classification based CWI. Threshold based CWI techniques are compared by (Shardlow, 2013) ...[]. Corpus of complex words is collected from Wikipedia in which ... See full document
6
The Jinan Chinese Learner Corpus
... Chinese Learner Cor- pus, a large collection of L2 Chinese texts pro- duced by learners that can be used for edu- cational ...the corpus contains approximately 6 million Chinese characters written by stu- ... See full document
6
Error Tagged Learner Corpus of Czech
... a word-order ...a word order more in line with the underlying information structure of the sentence, but our pol- icy is to refrain from more subtle phenomena and produce a grammatical rather than a perfect ... See full document
9
The effect of disfluencies and learner errors on the parsing of spoken learner language
... The motivation for this work is to investigate what is required to convert texts from unparseable to parseable form. The steps taken to achieve this can be used to inform automated learner dialogue or feedback ... See full document
8
NTUCLE: Developing a Corpus of Learner English to Provide Writing Support for Engineering Students
... our corpus, we have developed a new learner error tag set with 53 tags, which is sig- nificantly larger than ...this corpus, the de- velopment of the online tool for corrective feed- back without ... See full document
11
Complex Word Identification Using Character n grams
... 2017), the second shared task has been organ- ised at the BEA workshop 2018 (Yimam et al., 2018) featuring a multilingual dataset. The dataset consists of training and testing sets for three lan- guages: English, German ... See full document
8
A corpus-based study of phrasal verbs: CARRY OUT, FIND OUT, and POINT OUT
... Liao and Fukuya (2004) carried out research with 85 students to investigate their avoidance of English phrasal verbs. Of the 85 students, 15 were native speaker undergraduate students, 30 were advanced level Chinese ... See full document
16
The Effect of Learner Corpus Size in Grammatical Error Correction of ESL Writings
... a learner corpus from the web, but we differ from them in that we create a learner corpus of English rather than ...test corpus (KJ Corpus) is written by Japanese college ... See full document
10
Cross lingual complex word identification with multitask learning
... Hypernym chain As a measure of semantic specificity, we further consider the length of the hypernym chain of an item, i.e. the number of hypernyms that can recursively be obtained for a word. These are also ... See full document
9
Multilingual and Cross-Lingual Complex Word Identification
... The ‘gold standard’ CWI datasets should ide- ally be compiled using human annotation of com- plex words and phrases in a controlled experiment (differentiating between target groups, e.g. native and non-native speakers). ... See full document
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