• No results found

[PDF] Top 20 Native Language Identification with User Generated Content

Has 10000 "Native Language Identification with User Generated Content" found on our website. Below are the top 20 most common "Native Language Identification with User Generated Content".

Native Language Identification with User Generated Content

Native Language Identification with User Generated Content

... The current state of the art in NLI, according to Malmasi and Dras (2017), utilizes some variant of contemporary machine learning classifier with the following types of features: (i) word, lemma and character n-grams, ... See full document

11

Query Focused Opinion Summarization for User Generated Content

Query Focused Opinion Summarization for User Generated Content

... address user generated online data: community QA and ...formal language than news articles, and at the same time address a much broader spectrum of topics than product ... See full document

10

Phonetic Normalization for Machine Translation of User Generated Content

Phonetic Normalization for Machine Translation of User Generated Content

... 2019), consists of 1,554 comments in French, trans- lated from an extension of the French Social Me- dia Bank (Seddah et al., 2012) annotated with the following linguistic information: Part-of-Speech tags, surface ... See full document

10

A Taxonomy for In depth Evaluation of Normalization for User Generated Content

A Taxonomy for In depth Evaluation of Normalization for User Generated Content

... natural language processing tasks, such as gram- matical error correction and machine translation, there al- ready exist detailed error taxonomies, which help in get- ting insights in the strengths and weaknesses ... See full document

5

Predicting Human Activities from User Generated Content

Predicting Human Activities from User Generated Content

... natural language, on social media platforms like ...the content was directly related to ac- tivities that the users were doing in the real world – instead, most instances are more conversational in nature, ... See full document

11

Estimating the Quality of Translated User Generated Content

Estimating the Quality of Translated User Generated Content

... tuation marks, etc.), language model features (perplexity, log-probability, etc.), word or phrase alignment features, n-best list features, internal MT system scores (Quirk, 2004; Ueffing and Ney, 2004), and ... See full document

7

Native Language Identification with PPM

Native Language Identification with PPM

... author’s native lan- guage can be viewed as a type of classification ...the content-based cate- gorization which classifies texts by their topic and requires the most common classification methods based on ... See full document

8

Classifier Stacking for Native Language Identification

Classifier Stacking for Native Language Identification

... We explore the performance of different feature types for NLI in this work. Among the features types we examine, character/word/lemma/stem n- grams have the best individual performance. De- pendency parses are also ... See full document

8

Impact of Purchase Intention based on User Generated Content

Impact of Purchase Intention based on User Generated Content

... A significant finding of this research was the identification of hedonic and utilitarian uses of websites. The factor analysis showed that consumers use UGC because it is enjoyable to read these reviews and ... See full document

5

Can characters reveal your native language? A language independent approach to native language identification

Can characters reveal your native language? A language independent approach to native language identification

... Despite the fact that the approach based on string kernels performed so well, it remains to be further investigated why this is the case and why such a simple approach can compete with far more complex approaches that ... See full document

11

Predicting the Level of Text Standardness in User-generated Content

Predicting the Level of Text Standardness in User-generated Content

... of language (non-)standardness from a corpus heav- ily skewed towards standard language, we used a heuristic to roughly estimate the degree of text (non-)standardness, which makes use of the cor- pus ... See full document

8

Quantitative Analysis of Hotspots and Trends in User generated Content

Quantitative Analysis of Hotspots and Trends in User generated Content

... natural language processing (NLP), as well as the lack of a universal emotional ...natural language processing is a difficult problem, there are some classic Chinese emotional dictionary which can be used ... See full document

8

Arabic Native Language Identification

Arabic Native Language Identification

... the native language of a writer can help investigators in determining the source of anonymous text and the importance of this analysis is often bolstered by the fact that in such scenarios, the only data ... See full document

7

A Portuguese Native Language Identification Dataset

A Portuguese Native Language Identification Dataset

... for Native Language Identification (NLI), a task that has received much attention in recent ...the native language (L1) of an author based on their second language (L2) ... See full document

6

Native Language Identification on Text and Speech

Native Language Identification on Text and Speech

... alect identification, as evidenced in the previous sections, but also in numerous text classification tasks, among which are complex word identifica- tion (Malmasi et ... See full document

7

The Role of Emotions in Native Language Identification

The Role of Emotions in Native Language Identification

... The ability to choose the proper words to ex- press oneself increases with the proficiency level. From this perspective, identifying the L1 of au- thors of essays in L2 using emotion words infor- mation should be ... See full document

7

Ensemble Methods for Native Language Identification

Ensemble Methods for Native Language Identification

... Phoneme n-grams Phonemes are representa- tions of sounds in a language. In English, one sound can be represented using many different let- ters (e.g. cat and kick). For mapping orthogra- phy onto phonemes, we used ... See full document

7

Supporting the use of user generated content in journalistic practice

Supporting the use of user generated content in journalistic practice

... Vox Civitas [18] was designed to assist journalists in the location of newsworthy stories amongst the vast quantities of social media content available. A dashboard-type design enabled users to play video clips of ... See full document

13

User-generated content behaviour of the dissatisfied service customer

User-generated content behaviour of the dissatisfied service customer

... watching user-generated sites. Participation involves user-to-user interaction and user-to-content interaction ...ranking content websites. Production involves publishing ... See full document

38

Chinese Native Language Identification

Chinese Native Language Identification

... and language transfer ...how language is processed in the brain in ways that are not possible by just studying mono- linguals or single L1-L2 pairs, thereby providing us with important insights that ... See full document

5

Show all 10000 documents...