[PDF] Top 20 Improving Native Language Identification by Using Spelling Errors
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Improving Native Language Identification by Using Spelling Errors
... whose native language (L1) is one of: Arabic (ARA), Chinese (ZHO), French (FRA), German (DEU), Hindi (HIN), Italian (ITA), Japanese (JPN), Ko- rean (KOR), Spanish (SPA), Telugu (TEL) or Turkish ... See full document
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Stacked Sentence Document Classifier Approach for Improving Native Language Identification
... L1 language of the sentences that do not be- long to the training examples of the generated ...L1 language of unseen documents. The document classifier was trained using the LI- BLINEAR ... See full document
8
Native Language Identification on Text and Speech
... making spelling English words particularly challenging for native speakers of ...boundary errors such as every thing for ev- erything, and alot for a lot, as well as the omission of vowels such as ... See full document
7
Native Language Identification with PPM
... This task is mostly solved by machine-learning algorithms, such as SVM (Witten and Frank, 2005). However, the algorithm itself is not the most influential choice for better performance but rather the set of features used ... See full document
8
Ensemble Methods for Native Language Identification
... Interestingly, spelling errors were less informa- tive than what we had ...for spelling correction, we sus- pect that it did not perform well since it operates naively, without looking at context ... See full document
7
Norwegian Native Language Identification
... “learner spelling errors contributed substantially to tagging errors”, causing up to 38% of the tagging ...learner language are systematically different from those assumed for the standard ... See full document
9
Robust, Lexicalized Native Language Identification
... results using word n-grams, but regarded them as attributable to topic bias in the ...(e.g. spelling, missing determiner) as provided by the corpus annotation offered little improvement over the high ... See full document
18
A Portuguese Native Language Identification Dataset
... of errors present in non-native ...data using a suitable annotated dataset such as NLI-PT can improve the qual- ity of existing grammatical error correction systems for ... See full document
6
Feature Extraction for Native Language Identification Using Language Modeling
... the native lan- guage (L1) of a writer based solely on a sample of their writing in a second language ...L2 errors. These errors may be a result of linguistic ...tive Language ... See full document
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Learning with learner corpora: Using the TLE for native language identification
... texts using fea- tures such as function words, part-of-speech bi- grams, and spelling and grammatical ...features using a SVM, they could achieve an accuracy of ... See full document
7
Can characters reveal your native language? A language independent approach to native language identification
... completely language indepen- dent, because the texts will be treated as sequences of symbols ...of spelling errors or only some type of words, such as function ...natural language such as ... See full document
11
Improving Native Language Identification with TF IDF Weighting
... SVMs have been explored systematically for text categorization (Joachims, 1998). An SVM classi- fier finds a hyperplane that separates examples into two classes with maximal margin (Cortes and Vap- nik, 1995) ... See full document
8
Neural Networks and Spelling Features for Native Language Identification
... To reduce overfitting, we perform training by choosing a random subset of 50% of the sentences in an essay, concatenating their PoS tag and token embeddings, and running the resulting vector se- quence through a ... See full document
5
Native Language Identification using Phonetic Algorithms
... 2000) includes many changes and improvements over the original algorithm. Following Soundex, DMETA originally retains the first vowel in words and returns a key with a maximum of 4 letters. Ad- ditionally, it collapses ... See full document
8
Classifier Stacking for Native Language Identification
... Native language identification (NLI) is the task of determining an author’s native language (L1) based on their writings in a second language ...particular language ... See full document
8
Spelling Errors of English Language Students at Secondary School Level in Omdurman City, Sudan
... students' errors not ...English language students at secondary schools levels have problems with English ...target language and student's mother tongue have lead them to make many spelling ... See full document
22
Native Language Identification Using a Mixture of Character and Word N grams
... A number of teams employed simple N-gram- based methods as the implementation of these ap- proaches can be simpler and, as a result, less time- consuming. (Gyawali et al., 2013) developed four different models ... See full document
7
The Role of Emotions in Native Language Identification
... The best performing features for NLI are word and character n-grams (Jarvis et al., 2013). They cover – and obscure – a wide range of phenomena, because language usage has multiple dimensions that can reveal ... See full document
7
Error Analysis of TEFL Students in their Written Production
... of language ability led many language teachers to discredit the behavioristic language learning style and emphasize cognitive-code learning ...actual language learning or teaching ...of ... See full document
5
Using N gram and Word Network Features for Native Language Identification
... Interlanguage: Native Language Identification with L1-influence ...on Language Resources and Evaluation (LREC-2012), pages 779–784, Istanbul, Turkey, ...European Language Resources ... See full document
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