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Found 26 papers, 4 papers with code
Predicting the Proficiency Level of Nonnative Hebrew Authors
We present classifiers that can accurately predict the proficiency level of nonnative Hebrew learners.
The Hebrew Essay Corpus
We present the Hebrew Essay Corpus: an annotated corpus of Hebrew language argumentative essays authored by prospective higher-education students.
Shared Lexical Items as Triggers of Code Switching
Why do bilingual speakers code-switch (mix their two languages)?
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching
Natural language processing (NLP) models trained on people-generated data can be unreliable because, without any constraints, they can learn from spurious correlations that are not relevant to the task.
Machine Translation into Low-resource Language Varieties
State-of-the-art machine translation (MT) systems are typically trained to generate the "standard" target language; however, many languages have multiple varieties (regional varieties, dialects, sociolects, non-native varieties) that are different from the standard language.
Topics to Avoid: Demoting Latent Confounds in Text Classification
Despite impressive performance on many text classification tasks, deep neural networks tend to learn frequent superficial patterns that are specific to the training data and do not always generalize well.
Automatic Detection of Translation Direction
Parallel corpora are crucial resources for NLP applications, most notably for machine translation.
Native Language Identification with User Generated Content
We address the task of native language identification in the context of social media content, where authors are highly-fluent, advanced nonnative speakers (of English).
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
Amidst growing concern over media manipulation, NLP attention has focused on overt strategies like censorship and "fake news'".
Native Language Cognate Effects on Second Language Lexical Choice
We present a computational analysis of cognate effects on the spontaneous linguistic productions of advanced non-native speakers.
The UN Parallel Corpus Annotated for Translation Direction
This work distinguishes between translated and original text in the UN protocol corpus.
Found in Translation: Reconstructing Phylogenetic Language Trees from Translations
Translation has played an important role in trade, law, commerce, politics, and literature for thousands of years.
Translationese: Between Human and Machine Translation
Translated texts, in any language, have unique characteristics that set them apart from texts originally written in the same language.
Personalized Machine Translation: Preserving Original Author Traits
The language that we produce reflects our personality, and various personal and demographic characteristics can be detected in natural language texts.
On the Similarities Between Native, Non-native and Translated Texts
We present a computational analysis of three language varieties: native, advanced non-native, and translation.
Unsupervised Identification of Translationese
We show that this is indeed the case, in a variety of evaluation scenarios.
A Corpus of Native, Non-native and Translated Texts
We describe a monolingual English corpus of original and (human) translated texts, with an accurate annotation of speaker properties, including the original language of the utterances and the speaker{'}s country of origin.
A Parallel Corpus of Translationese
To validate the quality and reliability of the corpora, we replicated previous results of supervised and unsupervised identification of translationese, and further extended the experiments to additional datasets and languages.
