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Chinese computational linguistics and natural language processing based on naturally annotated big data : 13th China national conference, CCL 2014 and second international symposium, NLP-NABD 2014, Wuhan, China, October 18 - 19, 2014 : proceedings
Zhao, Jun (Herausgeber); Sun, Maosong (Herausgeber); Liu, Yang (Herausgeber). - Cham, Heidelberg, New York, Dordrecht, London : Springer, 2014
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UB Frankfurt Linguistik
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2
Methods in Latin computational linguistics
McGillivray, Barbara. - Leiden [u.a.] : Brill, 2014
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UB Frankfurt Linguistik
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3
MarsaTag, a tagger for French written texts and speech transcriptions
In: Second Asian Pacific Corpus linguistics Conference ; https://hal.archives-ouvertes.fr/hal-01500736 ; Second Asian Pacific Corpus linguistics Conference, Mar 2014, Hong Kong, China. pp.220-220 (2014)
Abstract: International audience ; We present in this paper a new system, MarsaTag, aiming at segmenting, tagging and chunking French input. The originality of the tool, on top of its efficiency, is its ability to process written texts as well as speech transcriptions. The tagger executes the three following operations. First, a rule-based tokenizer splits the raw textual input in a sequence of tokens. In a second step, thanks to a broad-coverage morphosyntactic lexicon, each token form is associated to a tag distribution. The last step consists in disambiguating the tagging by selecting the POS tag sequence with the highest probability. The probability of a sequence of tags is computed thanks to a stochastic model using the Hidden Markov Model machinery. The states or patterns of our model are extracted from the GraceLPL resource (700,000 tokens with morphosyntactic annotation). The performance of the tagger reaches an F-measure score of 0.974 for written material. The tagger has been adapted for the treatment of spontaneous speech transcriptions. The system has been trained with a large spoken French corpus (CID, see Bertrand et al. 2008). Phenomena proper to speech (filled paused, disfluencies, truncation, etc.) were identified and included in a model specific to speech transcription inputs. The tagger performance of 0.948 (F-measure) has been evaluated on the manual corrected tags of the CID corpus. MarsaTag is distributed with a software interface allowing the choice of various input and output formats (see hdl:11041/sldr000841). Thanks to the genericity of the technique, extension to other languages for which annotated treebanks are available (e.g. Chinese Penn Treebank) is currently in progress.
Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; resource; syntax; tagging; treebank
URL: https://hal.archives-ouvertes.fr/hal-01500736
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4
Phrase extraction and rescoring in statistical machine translation
Srivastava, Ankit Kumar. - : Dublin City University. Centre for Next Generation Localisation (CNGL), 2014. : Dublin City University. School of Computing, 2014
In: Srivastava, Ankit Kumar (2014) Phrase extraction and rescoring in statistical machine translation. PhD thesis, Dublin City University. (2014)
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5
Deep Syntax Annotation of the Sequoia French Treebank
In: International Conference on Language Resources and Evaluation (LREC) ; https://hal.inria.fr/hal-00969191 ; International Conference on Language Resources and Evaluation (LREC), May 2014, Reykjavik, Iceland (2014)
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6
Rhapsodie: a Prosodic-Syntactic Treebank for Spoken French
In: Language Resources and Evaluation Conference ; https://hal.sorbonne-universite.fr/hal-00968959 ; Language Resources and Evaluation Conference, May 2014, Reykjavik, Iceland (2014)
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7
Correcting and Validating Syntactic Dependency in the Spoken French Treebank Rhapsodie
In: Proceedings of the 9th Language Resources and Evaluation Conference (LREC) ; https://halshs.archives-ouvertes.fr/halshs-01011059 ; Proceedings of the 9th Language Resources and Evaluation Conference (LREC), 2014, Iceland. pp.1-6 (2014)
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8
Exploring the prosody of stance : variation in the realization of stance adverbials
In: Spoken corpora and linguistic studies. - Amsterdam [u.a.] : Benjamins (2014), 271-294
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9
The grammatical annotation of speech corpora : techniques and perspectives
In: Spoken corpora and linguistic studies. - Amsterdam [u.a.] : Benjamins (2014), 105-128
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10
The notion of sentence and other discourse units in corpus annotation
In: Spoken corpora and linguistic studies. - Amsterdam [u.a.] : Benjamins (2014), 331-364
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11
Methodological issues for spontaneous speech corpora compilation : the case of C-ORAL-BRASIL
In: Spoken corpora and linguistic studies. - Amsterdam [u.a.] : Benjamins (2014), 27-68
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12
The IPIC resource and a cross-linguistic analysis of information structure in Italian and Brazilian Portuguese
In: Spoken corpora and linguistic studies. - Amsterdam [u.a.] : Benjamins (2014), 129-151
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13
A multilingual speech corpus of North-Germanic languages
In: Spoken corpora and linguistic studies. - Amsterdam [u.a.] : Benjamins (2014), 69-83
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14
The theoretical foundations of givenness annotation
In: Information structure and syntactic change in Germanic and Romance languages. - Amsterdam [u.a.] : Benjamins (2014), 17-52
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15
Accessing phonetic variation in spoken language corpora through non-standard orthography
In: Australian journal of linguistics. - Basingstoke, Hampshire : Taylor & Francis 34 (2014) 1, 139-170
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16
Tamil Dependency Treebank v0.1
Ramasamy, Loganathan; Žabokrtský, Zdeněk. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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17
Copenhagen Dependency Treebanks versions 1-3
Buch-Kromann, Matthias. - : Copenhagen Business School, 2014
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18
Czech-English Parallel Corpus 1.0 (CzEng 1.0)
Bojar, Ondřej; Žabokrtský, Zdeněk; Dušek, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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19
Prague Dependency Treebank 3.0
Bejček, Eduard; Hajičová, Eva; Hajič, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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20
HamleDT 2.0
Zeman, Daniel; Mareček, David; Mašek, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2014
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