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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Computational historical linguistics and language diversity in South Asia ... Arora, Aryaman; Farris, Adam; Basu, Samopriya. - : arXiv, 2022 BASE Show details 2 Estimating the Entropy of Linguistic Distributions ... Arora, Aryaman; Meister, Clara; Cotterell, Ryan. - : arXiv, 2022 BASE Show details 3 For the Purpose of Curry: A UD Treebank for Ashokan Prakrit ... Farris, Adam; Arora, Aryaman. - : arXiv, 2021 BASE Show details 4 Bhā$\unicode{x1E63}$ācitra: Visualising the dialect geography of South Asia ... Arora, Aryaman; Farris, Adam; R, Gopalakrishnan. - : arXiv, 2021 BASE Show details 5 PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English ... Kranzlein, Michael; Manning, Emma; Peng, Siyao. - : arXiv, 2021 BASE Show details 6 Hindi-Urdu Adposition and Case Supersenses v1.0 ... Arora, Aryaman; Venkateswaran, Nitin; Schneider, Nathan. - : arXiv, 2021 BASE Show details 7 SNACS Annotation of Case Markers and Adpositions in Hindi Arora, Aryaman; Venkateswaran, Nitin; Schneider, Nathan In: Proceedings of the Society for Computation in Linguistics (2021) BASE Show details 8 PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English ... The 28th International Conference on Computational Linguistics 2020; Arora, Aryaman; Kranzlein, Michael; Manning, Emma; Peng, Siyao; Schneider, Nathan; Wein, Shira. - : Underline Science Inc., 2020 Abstract: We present the Prepositions Annotated with Supsersense Tags in Reddit International English ("PASTRIE") corpus, a new dataset containing manually annotated preposition supersenses of English data from presumed speakers of four L1s: English, French, German, and Spanish. The annotations are comprehensive, covering all preposition types and tokens in the sample. Along with the corpus, we provide analysis of distributional patterns across the included L1s and a discussion of the influence of L1s on L2 preposition choice. ... Keyword: Natural Language Processing URL: https://dx.doi.org/10.48448/f93f-rx23 https://underline.io/lecture/6543-pastrie-a-corpus-of-prepositions-annotated-with-supersense-tags-in-reddit-international-english BASE Hide details 9 Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi ... Arora, Aryaman; Gessler, Luke; Schneider, Nathan. - : arXiv, 2020 BASE Show details

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