Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
The SIGMORPHON 2019 shared task: Morphological analysis in context and cross-lingual transfer for inflection
The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in
morphology examined transfer learning of inflection between 100 language pairs, as well as …
morphology examined transfer learning of inflection between 100 language pairs, as well as …
Applying the transformer to character-level transduction
The transformer has been shown to outperform recurrent neural network-based sequence-to-
sequence models in various word-level NLP tasks. Yet for character-level transduction tasks …
sequence models in various word-level NLP tasks. Yet for character-level transduction tasks …
SIGMORPHON 2020 shared task 0: Typologically diverse morphological inflection
A broad goal in natural language processing (NLP) is to develop a system that has the
capacity to process any natural language. Most systems, however, are developed using data …
capacity to process any natural language. Most systems, however, are developed using data …
Inducing and using alignments for transition-based AMR parsing
Transition-based parsers for Abstract Meaning Representation (AMR) rely on node-to-word
alignments. These alignments are learned separately from parser training and require a …
alignments. These alignments are learned separately from parser training and require a …
A survey on syntactic processing techniques
Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …
processing. It normally serves as a pre-processing method to transform natural language …
Dialect-to-standard normalization: A large-scale multilingual evaluation
Text normalization methods have been commonly applied to historical language or user-
generated content, but less often to dialectal transcriptions. In this paper, we introduce …
generated content, but less often to dialectal transcriptions. In this paper, we introduce …
Benchmarking compositionality with formal languages
Recombining known primitive concepts into larger novel combinations is a quintessentially
human cognitive capability. Whether large neural models in NLP can acquire this ability …
human cognitive capability. Whether large neural models in NLP can acquire this ability …
Automatic interlinear glossing for under-resourced languages leveraging translations
Abstract Interlinear Glossed Text (IGT) is a widely used format for encoding linguistic
information in language documentation projects and scholarly papers. Manual production of …
information in language documentation projects and scholarly papers. Manual production of …
Can a transformer pass the wug test? tuning copying bias in neural morphological inflection models
Deep learning sequence models have been successfully applied to the task of
morphological inflection. The results of the SIGMORPHON shared tasks in the past several …
morphological inflection. The results of the SIGMORPHON shared tasks in the past several …
Morphological irregularity correlates with frequency
We present a study of morphological irregularity. Following recent work, we define an
information-theoretic measure of irregularity based on the predictability of forms in a …
information-theoretic measure of irregularity based on the predictability of forms in a …