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1
Language Embeddings for Typology and Cross-lingual Transfer Learning ...
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2
Tracking Child Language Development With Neural Network Language Models
In: Front Psychol (2021)
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3
Measuring the importance of context when modeling language comprehension [<Journal>]
Garten, Justin [Verfasser]; Kennedy, Brendan [Verfasser]; Sagae, Kenji [Verfasser].
DNB Subject Category Language
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4
Dependency Length Minimization and Lexical Frequency in Prepositional Phrase Ordering in English ...
Liu, Zoey; Sagae, Kenji. - : University of Massachusetts Amherst, 2018
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5
Dependency Length Minimization and Lexical Frequency in Prepositional Phrase Ordering in English
In: Proceedings of the Society for Computation in Linguistics (2018)
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6
Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States.
In: Trans. Assoc. Comput. Linguistics, vol 4 (2016)
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7
Morphosyntactic annotation of CHILDES transcripts
In: Journal of child language. - Cambridge [u.a.] : Cambridge Univ. Press 37 (2010) 3, 705-729
BLLDB
OLC Linguistik
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8
Dependency parsing and domain adaptation with data-driven LR models and parser ensembles
In: Trends in parsing technology. - Dordrecht [u.a.] : Springer (2010), 57-68
BLLDB
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9
Dynamic programming for linear-time incremental parsing
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 1077-1086
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10
Morphosyntactic annotation of CHILDES transcripts ...
Sagae, Kenji; Davis, Eric; Lavie, Alon; Macwhinney, Brian. - : Carnegie Mellon University, 2010
Abstract: Corpora of child language are essential for research in child language acquisition and psycholinguistics. Linguistic annotation of the corpora provides researchers with better means for exploring the development of grammatical constructions and their usage. We describe a project whose goal is to annotate the English section of the CHILDES database with grammatical relations in the form of labeled dependency structures. We have produced a corpus of over 18,800 utterances (approximately 65,000 words) with manually curated gold-standard grammatical relation annotations. Using this corpus, we have developed a highly accurate data-driven parser for the English CHILDES data, which we used to automatically annotate the remainder of the English section of CHILDES. We have also extended the parser to Spanish, and are currently working on supporting more languages. The parser and the manually and automatically annotated data are freely available for research purposes. ...
Keyword: 170199 Psychology not elsewhere classified; FOS Psychology
URL: https://dx.doi.org/10.1184/r1/6617204
https://kilthub.cmu.edu/articles/Morphosyntactic_annotation_of_CHILDES_transcripts/6617204
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11
Morphosyntactic annotation of CHILDES transcripts ...
Sagae, Kenji; Davis, Eric; Lavie, Alon. - : Carnegie Mellon University, 2010
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12
Natural Language Processing for Joint Fire Observer Training
In: DTIC (2010)
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13
Morphosyntactic annotation of CHILDES transcripts*
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14
Automatic Measurement of Syntactic Development in Child Language ...
Sagae, Kenji; Lavie, Alon; Macwhinney, Brian. - : Carnegie Mellon University, 2005
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15
Automatic Measurement of Syntactic Development in Child Language ...
Sagae, Kenji; Lavie, Alon; Macwhinney, Brian. - : Carnegie Mellon University, 2005
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16
Automatic Parsing of Parent-Child Interactions ...
Sagae, Kenji; Macwhinney, Brian; Lavie, Alon. - : Carnegie Mellon University, 2004
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17
Automatic Parsing of Parent-Child Interactions ...
Sagae, Kenji; Macwhinney, Brian; Lavie, Alon. - : Carnegie Mellon University, 2004
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18
Automatic Parsing of Parental Verbal Input
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